FastAPI Jobs in New York State.
All active FastAPI roles based in New York State.
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Who We Are:
Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality.
Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S.
We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.
Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
To learn more about our businesses and products, visit www.galaxy.com.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
- Seek Excellence.
- Be Selective To Be Effective.
- Be Highly Aligned, Loosely Coupled.
- Disagree Transparently.
- Encourage Independent Decision-Making.
- Build Dream Teams.
Who You Are:
Working as part of the derivatives engineering team, you are an expert on data pipelining and API development. You have knowledge surrounding common derivatives pricing frameworks and inputs for different tradable assets, and how these inputs are derived. You also have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures. You have experience in using mathematical and financial libraries (i.e. SciPy, NumPy, QuantLib) in software engineering applications. You are also familiar with building deployment processes for applications, including unit testing, integration testing, and deployment to a cloud provider (EC2, Kubernetes). You have a curiosity for learning new technologies and expanding your expertise across business lines and technology stacks.
As a team member, you will also work on production support issues and be involved in improvements on CI/CD automation and DevOps.
Knowledge of the following is an advantage:
- Python, Go, Java
- Derivatives Pricing Models (SABR, SVI)
- Kafka, AWS SQS, or MQ
- Relational and non-relational Databases (Postgres, SQL Server, Databricks)
- Time series databases
- Spark
- FastAPI, Pydantic
- Jenkins
- AWS
- Caching Strategies and Implementations
- In-Memory Data Management
- Experience with Docker
What You’ll Do:
- Work closely with the Derivatives trading desk in optimizing their trading and risk management tools, as well as building reusable derivatives pricing libraries and algorithms
- Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
- Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
- 6+ years of professional experience working in software development
- Experience with building data pipelines, APIs, and reporting tools
- Experience in Financial Technology
- Strong knowledge of data structures, their implementations, and optimization techniques
- University degree in computer science, physics, engineering, or equivalent programming experience
Bonus Points:
- Experience with LLM Finetuning and RAG Optimization
- Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
- Experience in quantitative trading
What We Offer:
- Competitive base salary and discretionary bonus
- Hybrid/Flexible Working Arrangements
- Flexible Time Off (paid)
- 3% 401(k) company contribution
- Company-paid health and protective benefits for employees, partners, and other dependents
- Generous paid Parental Leave
- Competitive family planning benefits for US employees
- Opportunities to learn about the Crypto industry
- Smart, entrepreneurial, and fun colleagues
- Free daily snacks and weekly breakfasts/lunches
- Employee Resource Groups
- Free coaching and counseling sessions through Headspace
Apply now and join us on our mission to engineer a new economic paradigm.
The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.
Ready to apply?
Apply to Galaxy
Staff Software Engineer
Employee Applicant Privacy Notice
Who we are:
Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://www.galileo-ft.com/working-at-galileo.
We are looking for a Staff Software Engineer to join our Engineering team.
What you’ll do:
- Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc).
- Take full ownership for solving complex problems from inception to execution.
- Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
- Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
- Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
- Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact.
- Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
- Work with Python and C applications to resolve wide-ranging issues, and drive feature implementation.
What you’ll need:
- Bachelor's Degree in Computer Science or related field.
- 6+ years programming experience, ideally on a modern stack.
- Experience: 4+ years of experience writing high-quality, production-grade Python.
- Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
- Ability to lead and influence a team's technical direction.
- Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
- Demonstrated ability to design resilient software components within a distributed system.
Nice to have:
- Familiarity with Python Flask and/or FastAPI frameworks.
- Experience developing in C.
- Domain knowledge in Payment Systems or financial tech.
Galileo Financial Technologies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
Galileo is committed to an inclusive culture. As part of this commitment, Galileo offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to Galileo Financial Technologies
Senior Data Engineer, Customer-Facing Data Products
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role
The New York Times is looking for a Senior Data Engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases.
This is a hybrid role based in our New York City headquarters.
Responsibilities:
- Develop real-time data pipelines using event-driven architectures and streaming technologies.
- Ingest and organize structured and unstructured data for widespread reuse across patterns.
- Engineer and scale high availability data serving capabilities to meet customer-facing needs.
- Implement mechanisms to ensure data quality, observability and governance best practices.
- Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments.
- Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review.
- Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications:
- 5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks
- Experience with cloud native architectures (AWS preferred), including service offerings and tools
- Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving
- Programming fluency with Python
- Experience using version control and CI/CD tools, such as Github Actions and Drone
Preferred Qualifications:
- Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark Streaming
- Experience building APIs using Python frameworks (FastAPI, Flask)
- Experience with SQL
- Understanding of modern data platforms including data lakehouse and medallion architectures
- Experience collaborating with product and partners to meet shared goals
This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
#LI-Hybrid
REQ-020049
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Tech Lead Manager
At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6,000 employees are all united by one mission: For the People.
We’re looking for a Software Engineering Tech Lead who is passionate about building high-quality software and leading engineering teams with a strong sense of technical rigor and collaboration. In this role, you’ll drive technical direction, mentor engineers, and guide the team toward sound engineering practices in a fast-paced, agile environment. You will lead the design and delivery of scalable systems using Python (FastAPI), React, and AWS.
This is a hands-on leadership role, balancing deep technical contributions with thoughtful leadership and mentorship.
Responsibilities:
· Elevate code quality: Champion test-driven development, code hygiene, and clean architecture across the team
· Design leadership: Own the authoring and review of technical design documents that drive shared understanding and decision-making across teams
· Agile delivery: Lead sprint planning, retrospectives, and incremental delivery with a strong bias toward iteration and value delivery
· Lead by example: Design and implement scalable, robust systems across the backend (Python/FastAPI), frontend (React), and cloud infrastructure (AWS)
· Raise the bar: Set and uphold high standards for code quality, testing, performance, and maintainability
· Mentor and grow engineers: Provide technical mentorship and encourage a growth mindset through regular feedback and coaching
· Drive technical alignment: Lead code reviews, design reviews, and engineering discussions that result in thoughtful, well-documented decisions
· Champion documentation: Author and review technical design documents to guide team implementation and maintain long-term clarity
· Build for resilience: Design systems with fault tolerance, observability, and graceful degradation in mind; guide the team in applying principles of reliability and operational excellence
· Lead incident response and learning: Participate in and improve incident response processes, drive actionable postmortems, and promote a culture of continuous improvement
· Cross-functional alignment: Collaborate with product managers, designers, and other stakeholders to ensure alignment on roadmap priorities and delivery timelines
Requirements:
· 7+ years of professional software development experience
· 2+ years of experience in a tech lead or staff-level role, leading teams and projects
· Deep proficiency in Python, particularly with FastAPI or similar frameworks
· Strong experience with React and front-end application architecture
· Production experience with AWS and modern cloud-native architectures
· Demonstrated expertise in software testing, quality assurance, and CI/CD pipelines
· Experience with Agile development methodologies and leading agile ceremonies
· Strong communicator and collaborator; able to lead design reviews and drive consensus
· Proven track record of mentoring and elevating teammates’ technical growth
· Exceptional communication and collaboration skills with a focus on cross-functional alignment
Nice to Have:
· Experience with infrastructure-as-code (Terraform, CDK, or similar)
· Familiarity with system observability tools (e.g., Datadog, OpenTelemetry)
· Contributions to open source or technical writing (blogs, documentation, etc.)
· AI/ML/LLM experience or exposure to machine learning systems and large language models
Why Join Us
· Be part of a fast-growing software engineering team within a stable, established company
· Opportunities for career advancement, ownership, and professional development
· Lead high-impact projects and influence the technical direction of our systems and culture
· Work with passionate engineers who value thoughtful design, high-quality code, and continuous improvement
The anticipated full-time annualized salary range will be contingent upon various factors, including but not limited to, relevant experience, market data, job location, and other job-related factors permitted by law. The listed salary range does not include a bonus, which is part of the total compensation package that may be offered upon employment.
Salary Range: $200,000 - 210,000 Base Salary + Bonus
Benefits
Morgan & Morgan is a leading personal injury law firm dedicated to protecting the people, not the powerful. This success starts with our staff. For full-time employees, we offer an excellent benefits package including medical and dental insurance, 401(k) plan, paid time off and paid holidays.
Equal Opportunity Statement
Morgan & Morgan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
E-Verify
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.
Privacy Policy
Here is a link to Morgan & Morgan's privacy policy.
Ready to apply?
Apply to Morgan & Morgan, P.A.
Senior Software Engineer - Client Portal
At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6,000 employees are all united by one mission: For the People.
About the Role
We’re looking for a Senior Full-Stack Software Engineer who is passionate about building high-quality software and collaborating closely with other engineers to solve complex problems. In this role, you’ll contribute to our Client Portal team (mobile app), working with Fast API+Python and React Native + Expo.
Responsibilities
· Elevate code quality: Champion test-driven development, code hygiene, and clean architecture across the team
· Agile delivery: Lead sprint planning, retrospectives, and incremental delivery with a strong bias toward iteration and value delivery
· Lead by example: Design and implement scalable, robust systems across the backend (Python/FastAPI), frontend (React), and cloud infrastructure (AWS)
· Raise the bar: Set and uphold high standards for code quality, testing, performance, and maintainability
· Drive technical alignment: Lead code reviews, design reviews, and engineering discussions that result in thoughtful, well-documented decisions
· Champion documentation: Author and review technical design documents to guide team implementation and maintain long-term clarity
· Build for resilience: Design systems with fault tolerance, observability, and graceful degradation in mind; guide the team in applying principles of reliability and operational excellence
· Lead incident response and learning: Participate in and improve incident response processes, drive actionable postmortems, and promote a culture of continuous improvement
· Cross-functional alignment: Collaborate with product managers, designers, and other stakeholders to ensure alignment on roadmap priorities and delivery timelines
Nice to Have
· Full-Stack
· React Native + Expo (Mobile Experience)
· Python Experience
· AWS Experience
Why Join Us
· Be part of a fast-growing software engineering team within a stable, established company.
· Opportunities for career advancement, ownership, and professional development.
· Lead high-impact projects and influence the technical direction of our systems and culture.
· Work with passionate engineers who value thoughtful design, high-quality code, and continuous improvement.
The anticipated full-time annualized salary range will be contingent upon various factors, including but not limited to, relevant experience, market data, job location, and other job-related factors permitted by law.
At this time, we are unable to provide H-1B visa sponsorship or any other employment-based sponsorship.
This role is based onsite at our Brooklyn, NY office. Relocation assistance is not available.
Salary Range: $145,000 - $175,000 + Bonus
Benefits
Morgan & Morgan is a leading personal injury law firm dedicated to protecting the people, not the powerful. This success starts with our staff. For full-time employees, we offer an excellent benefits package including medical and dental insurance, 401(k) plan, paid time off and paid holidays.
Equal Opportunity Statement
Morgan & Morgan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
E-Verify
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.
Privacy Policy
Here is a link to Morgan & Morgan's privacy policy.
Ready to apply?
Apply to Morgan & Morgan, P.A.
Polar Operations LLC (dba IMC Markets) has multiple openings for Python Software Engineer (REQ#4461661101) in Chicago, IL and Brooklyn, NY.
Your Core Responsibilities
- Implement software features and components for IMC's trading systems (25%).
- Design software solutions independently and make architectural decisions (10%).
- Debug and fix software issues in trading systems (5%).
- Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
- Ensure code quality and system reliability through comprehensive automated testing (10%).
- Contribute to the automated testing framework, own critical trading system components, and ensure reliability, performance, and scalability across regions (5%).
- Participate in code reviews (10%).
- Monitor system performance and trading operations (5%).
- Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
- Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
- Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).
Partial telecommuting permitted. Multiple positions available. Requisition #: 4461661101
Your Skills and Experience
This position requires a Bachelor’s degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.
Must have at least one (1) year of experience in each of the following skill(s):
- Applying analytical and engineering techniques to solve complex problems programmatically;
- Programming with Python;
- Developing and implementing algorithms and data structures;
- Software development lifecycle and best practices;
- Designing and developing software applications in a collaborative, cross-functional environment;
- Experience with DevOps, databases, big data, or frontend frameworks;
- Experience with Docker, Kubernetes, and Linux environments;
- Experience working with financial data;
- Foundational knowledge of quantitative trading concepts and equity/index options;
- Exposure to web/API frameworks such as FastAPI and React;
- Experience with automated testing and CI/CD pipelines;
- Experience collaborating with trading desks and developing software for use in a quantitative trading environment;
- Experience with the following tools: Team City, JIRA ticket management, Gerrit code review tool, GitLab, uv, Gitlab CI, py-spy, memray, and Python Packaging; and
- Experience with the following libraries: Pandas, Polars, NumPy, Tensorflow, Scikit, scikit-learn, cvxpy, and Pytest.
#LI-DNI
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Ready to apply?
Apply to IMC
Staff Software Engineer, Core API
Employee Applicant Privacy Notice
Who we are:
Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://www.galileo-ft.com/working-at-galileo.
Who we are
“Welcoming”, “Collaborative” and “Having the opportunity to make an impact” - is how our employees describe working here. Galileo is a financial-technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at www.galileo-ft.com.
The role:
You will steward the 'building blocks' of modern fintech. Our APIs empower clients to build unique financial experiences, meaning your team's work directly powers the innovation of some of the world's largest fintechs.
What you’ll do:
- Build the Golden Path: Design and deliver reusable frameworks and shared infrastructure that help product squads ship secure, observable, and compliant services by default.
- Create Platform Abstractions: Identify repeated implementation patterns and turn them into modular platform components that reduce duplication and simplify service development.
- Improve Traceability and Observability: Drive adoption of common telemetry and request-correlation patterns so teams can troubleshoot and operate services more effectively.
- Advance Contract-First Development: Help make technical contracts the source of truth for service development, with tooling that keeps implementation, documentation, and schemas aligned.
- Raise the DX (Developer Experience) Bar: Build platform tools that teams adopt because they are faster, clearer, and easier to use than bespoke alternatives.
- Navigate Trade-offs Well: Make sound technical decisions that balance standardization, delivery speed, and the practical needs of individual teams.
- Partner Across Teams: Work closely with engineers, managers, and adjacent platform teams to align on patterns, priorities, and rollout plans.
- Mentor Through Practice: Coach engineers through design reviews, code review, docs, and shared implementation work; help maintain core platform libraries and support an innersource contribution model.
What you’ll need:
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- Distributed Systems Experience: 8+ years of experience designing and scaling resilient software systems, ideally with strong Python experience.
- Platform Mindset: Experience building shared libraries, services, proxies, or frameworks used by internal engineering teams.
- Modern SDLC Depth: Hands-on experience with CI/CD, automated testing, schema validation, and production delivery pipelines.
- Cross-Team Influence: A track record of driving technical direction and gaining buy-in from peer teams and stakeholders without direct authority.
- Cloud & Kubernetes Experience: Strong experience with AWS and Kubernetes-based environments.
- Pragmatic Engineering Judgment: Ability to identify when a problem should be standardized, abstracted, or left local.
Nice to have:
- Framework Expertise: Familiarity with Python Flask and/or FastAPI frameworks.
- Infrastructure as Code: Experience with Terraform for delivering standardized infrastructure templates.
- API Governance: Familiarity with OpenAPI/Swagger standards and the governance of large-scale API catalogs.
- Observability & Identity Experience: Experience with distributed tracing, metric taxonomies, and service-to-service authentication (S2SA) patterns.
- FinTech Experience: Domain knowledge in payment systems or highly regulated financial technology environments.
Galileo Financial Technologies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
Galileo is committed to an inclusive culture. As part of this commitment, Galileo offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to Galileo Financial Technologies
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
The Team
Discretionary & Client Solutions Technology is ~35 engineers across London, New York, and Sofia, building the platforms that power Man Group's discretionary investment and client facing operations. We operate at high tempo — shipping multiple production releases weekly across portfolio analytics, fund data platforms, client reporting, data pipelines, dashboards, and AI tools.
We are one of the most active AI-adopting engineering teams in Man Group — building LLM-powered agents, research tools with vector search, and AI integrations that our portfolio managers and analysts use daily. You'll have the opportunity to shape how AI is integrated into investment workflows.
The Role
This is a senior engineering role sitting at the intersection of Man Group's Discretionary (public markets) and Solutions technology teams in New York. You will be the primary NY-based engineer supporting portfolio managers, analysts and quants functions across both business lines.
The role spans Python data pipelines and analytics platforms serving Discretionary investment teams — equities, credit, and alternatives — alongside Python systems powering Solutions' fund analytics, portfolio management, and reporting infrastructure. You'll work hands-on building and operating production systems while acting as the key technical liaison for NY-based stakeholders.
Our Technology Stack
- Python (primary), TypeScript/React
- Data: Pandas, NumPy, Kafka
- Backend: FastAPI, Flask
- Frontend: React, Streamlit dashboards, Tableau
- Infrastructure: Kubernetes, Airflow
- AI tooling: Claude Code, LLM agents, vector search, RAG — we actively build and ship AI tools for our investment teams
Key Responsibilities
Development & Delivery (70%)
- Build, extend, and maintain Python data pipelines using Pandas, NumPy, and internal libraries
- Develop and enhance portfolio analytics, risk reporting, and fund data platforms
- Contribute to AI-powered tools for investment teams — research databases with vector search, AI integrations for portfolio managers and analysts
- Build and maintain FastAPI and Flask backends and React/TypeScript frontends using our shared component libraries
- Deploy services to Kubernetes; manage Airflow DAGs for scheduled data workloads
- Collaborate with London and Sofia-based engineers on cross-team initiatives
Stakeholder Engagement (20%)
- Serve as the primary technical contact for NY-based Discretionary and Solutions stakeholders
- Gather requirements, translate business needs into technical solutions, and manage expectations
- Work directly with portfolio managers, analysts, and quants — understanding their workflows is as important as writing the code
Production Operations (10%)
- Own production stability for systems in your portfolio — investigate data quality issues, triage support requests, manage incident response
- Maintain documentation and operational processes
Key Competencies
Essential
- 5+ years of professional software engineering experience with a strong delivery track record
- Strong Python: Well-tested, modular production code. Comfortable with dataclasses, type hints, OOP, design patterns
- Financial services experience — particularly portfolio management, risk, or investment operations
- Pandas/NumPy proficiency: Building efficient data pipelines and transformations at scale
- AI/LLM tooling — experience building with or integrating LLM-based tools. We're active early adopters of AI-assisted development and are building AI agents for our investment teams
- Solid testing discipline: pytest, unit tests, integration tests — you write tests as a matter of course
- Comfortable in a Linux environment with Git, virtual environments, and CLI tooling
- Strong communicator: You can explain technical decisions to non-technical stakeholders concisely, and you view stakeholder interaction as integral to good engineering — not overhead
- Self-directed: You manage your own priorities, flag blockers early, and drive work to completion with appropriate autonomy
- Degree in a STEM subject or equivalent practical experience
Advantageous
- React/TypeScript for frontend development
- Experience with web APIs: Building and consuming RESTful services (FastAPI, Flask, or equivalent)
- C#/.NET familiarity — some Solutions systems are built in .NET. You won't be the primary .NET engineer, but being able to read and navigate the codebase is valuable
- Kubernetes & containerisation — deploying and troubleshooting services in k8s
- Airflow — building and maintaining scheduled data pipelines
- Distributed systems concepts — messaging architectures, event-driven design, caching strategies
- Experience working with geographically distributed teams — London will be your primary collaboration hub
The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time.
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Ready to apply?
Apply to Man Group
Software Engineer, Machine Learning (MLOps & Data)
A Career with Point72’s Surveillance Team
On the Knowledge Graph Intelligence team, you’ll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision-making and enhance how we build and operate our platforms and applications.
What you’ll do
In this data-heavy role, you will design and build mission-critical infrastructure that powers our machine learning lifecycle, from large-scale data processing and feature engineering to model training, real-time deployment, and monitoring. Specifically, you will:
- Architect and implement the full lifecycle of ML models, from data ingestion to production inference, contributing to the design of our next-generation, event-driven architecture, using technologies like gRPC, Kafka, and high-performance API frameworks, like FastAPI, Spring WebFlux, and Axum.
- Engineer and automate robust, large-scale data processing pipelines (ETL/ELT) using tools like Spark, dbt, and workflow orchestrators, and lead the design and implementation of our Feature Store strategy.
- Own the MLOps framework for model training, versioning, and deployment, including CI/CD pipelines, automated workflows, and experiment tracking and evaluation tooling.
- Implement sophisticated deployment strategies, including canary, blue-green, shadow, and A/B testing, to ensure safe, zero-downtime releases, and optimize inference performance for LLMs and other large models.
- Leverage cutting-edge tools and techniques like quantization and compilation to maximize throughput and minimize latency.
- Collaborate with data scientists to develop models and optimize model performance for low-latency serving using techniques like Python performance tuning.
- Define, provision, and manage our cloud infrastructure using Terraform, working hands-on with a wide array of cloud services across compute, storage, and machine learning platforms.
What’s REQUIRED
- 5+ years of experience in a software, data, or ML engineering role.
- Strong proficiency in SQL.
- Experience building and orchestrating data pipelines using tools such as Spark, dbt, and Dagster/Airflow, as well as data warehouses like Snowflake, Redshift, BigQuery.
- Understanding of infrastructure as code, including experience with Terraform.
- Proficiency with containerization and orchestration including Docker and Kubernetes.
- Hands-on experience with CI/CD tools and ML lifecycle tools, including Jenkins, MLflow, Kubeflow, and W&B.
- Experience with AWS and its core services including S3, EC2, Lambda, RDS, and EMR, and practical experience with Boto3 and AWS ML services SageMaker and Bedrock.
- Understanding of modern ML models and ability to discuss the performance characteristics and engineering trade-offs that influence deployment decisions.
- Experience with systems incorporating Graph Neural Networks (GNNs), recommendation systems, anomaly detection, and complex time-series models.
- Commitment to the highest ethical standards.
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $175,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Ready to apply?
Apply to Point72
SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.
The SupportX team is dedicated to building the future of fan support. We treat support as a product, owning the full end-to-end experience- from AI-powered chat and voice interactions to agent tooling, self-service deflection, and integrations with SeatGeek's order management, fulfillment and financial systems.
We are in the process of building new foundations which will boost fan outcomes driven by our AI support agent, increase self-service rates, reduce contact volumes, and empower our human experts to deliver highly effective white-glove service. As manager, you’ll be the technical leader of this effort, guiding the team as we define, build and optimize a support experience for fans that is truly best-in-class. Your role will be critical in shaping the team’s roadmap, enhancing fan outcomes and driving faster, more efficient support workflows.
What you'll do
- Manage a team of Backend, Frontend and applied AI and automation engineers
- Own the technical vision for SeatGeek’s core support tools (both custom + Saas) and integrations
- Rapidly build and iterate tools to boost fan experience, and maintain a high standard of operational excellence across the platform
- Perform code and architecture reviews, and provide technical and design feedback to the team
- Provide regular job performance feedback, hold one-on-ones, and provide career development support to your direct reports
- Work with your Technical and Product counterparts to form a compelling vision and direction for the team that aligns with organizational and business goals
- Select new and work with existing technology vendors when necessary. You constantly make build or buy decisions together with your team
- At times, roll up your sleeves to deliver features and iterate across the platform
- Communicate technical and product decisions to the right people, resolve blocking issues, and collaborate with other leaders across the organization
- Play an active role in our recruiting process, helping us grow our engineering team in any way you can
What you have
- 5+ years as an engineer in a role that was mostly about writing code
- 2+ years of experience as an engineering manager of productive, motivated teams
- Proven track record leading teams to ship industry-leading UX that meaningfully elevates high-stakes customer experiences
- Preferred if you've contributed to end-to-end customer support experience software at a marketplace product organization
- You’ve successfully built and led lean teams, ensuring they’re productive, motivated, and capable of delivering impactful results
- You’re able to foster safe, collaborative & inclusive environments, where engineers feel empowered to do their best work
- You're comfortable operating without a playbook — defining the architecture, the team's ways of working, and the roadmap simultaneously
- You're able to break down complex technical concepts and explain them clearly to non-technical audiences, accurately representing the team's work to a wide range of stakeholders
- Knowledge of the technology industry and customer support tools + workflows to help your team make good tooling and framework decisions to set them up for success
- You understand how to lead by setting context, facilitating collaboration, and getting buy-in between cross functional partners in product, design, engineering and leadership
- You’ve worked as an Engineer in the past, are familiar with the challenges of that role, and preferably have had hands-on experience with the following:
- Custom tools to increase support agent efficiency and create delightful fan outcomes
- AI agent optimization - building the tools, methods, workflows of an empowered + effective customer service agent
Our stack
Experience with every technology listed isn’t expected, we’ve included them for transparency. What matters most to us is your core engineering skills and ability to learn, not deep expertise in any one tool or language.
- Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
- Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
- Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
- Streaming & workflows: Kafka, Flink, Airflow, Temporal
- Saas: Workato, Customer Support / Help Center tools (Zendesk, Sierra)
- AI Tooling: Claude Code, Codex, LLMs
Perks
- Equity stake
- Discretionary annual bonus
- Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
- A WFH stipend to support your home office setup
- Unlimited PTO
- Eligible for the SG discretionary annual bonus based on individual and company performance
- Up to 16 weeks of fully-paid family leave
- 401(k) matching
- Student loan matching program
- Health, vision, dental, and life insurance
- Up to $25k towards family building, reproductive health services and Gender-affirming care
- $500 per year for wellness expenses
- Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
- $120 per month to spend on tickets to live events
- Annual subscription to Spotify, Apple Music, or Amazon music
The salary range for this role is $171,000-$248,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.
SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings.
To review our candidate privacy notice, click here.
#LI-Remote
Ready to apply?
Apply to SeatGeek
AI Engineer
Come Work With Us:
Metropolitan Commercial Bank (“MCB” or the “Bank”) is a New York City–based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.
Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.
The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek’s Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor’s Choice recognition at the Banking Tech Awards USA for Digital Onboarding & Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.
We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human–AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank’s website at MCBankNY.com.
Position Summary:
Metropolitan Commercial Bank (the “Bank”) is seeking a VP-level AI/ML Engineer to deploy AI solutions at enterprise scale, with a strong emphasis on Large Language Model (LLM) applications and modern MLOps & AIOps practices. This role sits at the intersection of data science and software engineering, reporting to the manager of the IT Application Development and Support team and working closely with the Chief Artificial Intelligence Officer, transforming innovative AI prototypes into robust, scalable production systems. The AI/ML Engineer will lead the deployment of high-impact AI capabilities (e.g., generative AI systems, personalization engines, automation tools) and ensure scalable AI platforms that deliver real-world value. The role also includes designing, constructing, and maintaining the Bank’s AIOps solution, with Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML).
Standard 4-day in-office requirement, 1 day remote (of your choosing)
Essential Functions & Responsibilities
Production Architecture & AIOps
- Establish and enforce architecture standards for production AI systems, including data pipelines, model serving infrastructure, and real-time inference services.
- Implement AIOps/MLOps pipelines for CI/CD of ML models, model governance, monitoring, and lifecycle management.
- Design and maintain scalable software applications with integrated AI/ML capabilities.
- Develop software architecture and design patterns to ensure performance and scalability.
- Write clean, maintainable code in general-purpose programming languages (Python, Java, C, C++, Go).
- Implement and manage data pipelines for preprocessing and transforming data for AI/ML models.
- Integrate AI/ML models into production environments and optimize for reliability and scalability.
- Apply Site Reliability Engineering (SRE) principles and implement monitoring and alerting solutions.
- Conduct code reviews and provide technical guidance to junior developers.
- Stay current with advancements in software engineering and AI/ML technologies.
- Adhere to agile and lean software development best practices.
- Thoroughly document all developed models and processes according to relevant policies and standards.
- Support the production environment by either resolving technical or functional issues, in line with the procedures defined by the Bank.
Cross-Functional Collaboration
- Partner with data scientists, AI scientists, product managers, data engineers, DevOps, and business stakeholders to operationalize AI algorithms.
- Mentor or train teams and coordinate between research-oriented AI scientists and engineering teams to continuously improve models with production feedback.
Scaling & Performance
- Ensure AI solutions perform at scale, handling thousands of daily inferences with low latency and high reliability.
- Optimize model serving using techniques like model compression, caching, and hardware acceleration.
Implement robust monitoring and alerting for model performance to detect and address degradation (e.g., drift, latency issues).
Qualifications & Skills:
- 6+ years of experience
- Master’s or PhD in a relevant field (Computer Science, Software Engineering, Machine Learning, Data Science, Statistics, etc.) is strongly preferred, especially with research or thesis work related to AI/ML
- LLM & GenAI Mastery: Expert in building and deploying LLM-based applications using RAG, prompt engineering, and vector databases. Skilled in LLMOps tools (LangChain, LlamaIndex) and fine-tuning models for enterprise use, including agent-based architectures.
- MLOps & Cloud Infrastructure: Proficient in cloud ML platforms (AWS, GCP, Azure) and MLOps workflows. Uses Docker, Kubernetes, and IaC tools (Terraform, CloudFormation) for scalable deployments. Experienced in CI/CD, real-time inference, GPU optimization, and ML observability (Prometheus, Grafana, MLflow).
- Full-Stack Development: Capable of building end-to-end AI solutions, from front-end (React) to back-end APIs (Flask, FastAPI, Node.js). Skilled in integrating ML models with databases (SQL, NoSQL) and delivering seamless user experiences through robust software engineering.
- Proficient in Python (pandas, scikit-learn), deep learning (PyTorch/TensorFlow/Keras), NLP/LLMs, LangChain, embeddings/vector search, and classic ML.
- Experienced with Snowflake-native ML (Snowpark Python, UDFs/UDTFs, Tasks/Streams).
- Competent in data engineering (SQL, ETL/pipelines, Spark/PySpark) and handling large structured/unstructured datasets.
- Strong understanding of AI/ML algorithms, application architecture, and design patterns.
- Excellent problem-solving, analytical, communication, and collaboration skills.
Preferred Qualifications & Skills
- Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics).
- Hands-on experience with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions, and feature management/registry tooling.
- Familiarity with fairness toolkits, XAI frameworks, and preparing models for validation, audit, or regulatory exams.
- Knowledge of SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber).
- Ability to work in a constantly evolving environment.
- Excellent written and verbal communication skills.
- Strong listening and teaching abilities.
- Demonstrated analytical, troubleshooting, and problem-solving skills.
- Quick learner of new technologies.
- Self-directed with strong technology and communication skills.
- Ability to synthesize multiple sources of information and understand the broader operational context of the Bank.
- Collaborative team player with a practical and creative approach in a dynamic work environment.
- Ability to handle ambiguity, multitask, and adapt quickly to changing priorities.
Potential Salary: $130,000 - $200,000 annually
This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.
Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Ready to apply?
Apply to Metropolitan Commercial Bank**Ability to work 3 days a week in our NYC office preferred.**
**This position does not offer visa sponsorship now or in the future.**
Pinwheel - Building the future of financial services in partnership with the biggest brands
“I love my banking app!” said no one, ever.
Pinwheel is on a mission to change that. We believe banks and financial service providers represent the greatest opportunity to build 10x better experiences, especially in the AI age. We’re building the next generation of financial products alongside some of the biggest names in the market including Robinhood, DoorDash, Credit Karma, Amex, Discover, Intuit, X Money, Visa and more.
If you’re excited by the idea of having your work touch and impact the lives of hundreds of millions of consumers, Pinwheel is the place for you.
If you get stoked about building products alongside the biggest brands in the world, Pinwheel is the place for you.
If you want to join a scrappy, hustling team that is obsessed with defining the future of financial services, Pinwheel is the place for you!
Pinwheel has raised $77M from top-tier investors such as Coatue, Notable, First Round, Upfront, Primary, American Express, Franklin Templeton, Indeed, Semper Virens and more.
We’re hiring a world-class Engineer
Pinwheel is looking for a creative product-focused engineer that craves autonomy and impact in their role to work across Pinwheel’s entire customer-facing stack. Product Engineering is at the heart of what we do here, and this role will help select and lead impactful projects that touch the surfaces our customers use every day. You’ll work on a nimble team, working directly with cross-functional stakeholders across Engineering, Product, and Design, to execute this mission-critical work.
You’ll focus mostly on back-end engineering work (web-based microservices, customer-facing APIs), with some supporting front-end engineering work as well.
Finally, you’ll join a team known for high-velocity, high-quality output and contribute to leveling up that team through mentorship and continuous improvement of our processes and standards.
What will you do?
- Deeply understand our customer needs and design systems to solve them
- Build, scale, and evolve the data models, services, and systems that power our APIs
- Design and ship impactful new functionality in our products, especially focused on our internal and customer-facing back-end APIs
- Maintain and improve our Python-based microservice stack
- Support (and at times lead) the development of new products in the Pinwheel ecosystem, balancing high product velocity with quality and reliability
- Contribute to iterative technical quality: we pay down tech debt while we’re working on new projects and expect you to be a leader in the responsible pay-down of tech debt
- Create and improve tooling, processes, and engineering standards across the team
- Mentor engineers and help the team grow
What qualifications are necessary?
- 5+ years of experience building and maintaining back-end or full-stack applications: data modeling, application logic, and API design
- Prior experience working at an early-stage startup or small tech company
- Deep expertise with modern back-end languages/frameworks (e.g. FastAPI, Django, Rails, Gin)
- At least some experience working with modern frontend web frameworks (React, Vue, etc.)
- Prior experience working on API-based products is a big plus
- Played key implementation roles in projects with multiple teams and engineers
- Desire to learn new systems and technology as our business evolves
- Ability to design systems and evaluate the tradeoffs in scalability, reliability, performance, and maintainability
- Passion for working closely with customers
- Creativity, empathy, and a drive for continuous improvement
Why join Pinwheel?
Best time to join - Our company is small but well-funded, meaning you are joining at a time where you can impact and shape the company.
Be a cultural builder - You will have an active hand in molding the company culture and being a part of the entrepreneurial journey.
Build something revolutionary - Help build the products on the bleeding edge of financial services!
Belong - Join a community that is passionate and relentless about building fairer financial systems for all.
Benefits included:
- Great compensation & equity packages
- Full medical, dental, and vision benefits
- Life & short-term disability insurance
- Generous flexible PTO policy that prioritizes recharge and balance
- Paid parental leave
- 401K for retirement planning
- Mentorship opportunities
- Free Citibike membership
- Pet friendly offices and Zoom spaces
At Pinwheel, total compensation is made up of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they can bring to the organization in delivering outsized results. The talent market is competitive, and maintaining our ability to recruit and retain the best team possible is a top priority for Pinwheel. When creating an offer, we consider interview performance, candidate experience, external market competitiveness, and internal equity in thoughtfully assessing compensation.
The expected cash salary range for this role is $160,000 - $190,000 base.
Diversity & Inclusion at Pinwheel
At Pinwheel, we are committed to building an environment that is diverse and inclusive. We believe that having people across different backgrounds, experiences, abilities, and perspectives enables us not only to build the best financial products, but to help us realize the best versions of ourselves. Pinwheel is an equal opportunity employer, and we aim to be an open and supportive place to work.
Ready to apply?
Apply to Pinwheel
**Ability to work 3 days a week in our NYC office preferred.**
**This position does not offer visa sponsorship now or in the future.**
Pinwheel - Building the future of financial services in partnership with the biggest brands
“I love my banking app!” said no one, ever.
Pinwheel is on a mission to change that. We believe banks and financial service providers represent the greatest opportunity to build 10x better experiences, especially in the AI age. We’re building the next generation of financial products alongside some of the biggest names in the market including Robinhood, DoorDash, Credit Karma, Amex, Discover, Intuit, Acorns, Visa and more.
If you’re excited by the idea of having your work touch and impact the lives of hundreds of millions of consumers, Pinwheel is the place for you.
If you get stoked about building products alongside the biggest brands in the world, Pinwheel is the place for you.
If you want to join a scrappy, hustling team that is obsessed with defining the future of financial services, Pinwheel is the place for you!
Pinwheel has raised $77M from top-tier investors such as Coatue, Notable, First Round, Upfront, Primary, American Express, Franklin Templeton, Indeed, Semper Virens and more.
We’re hiring a world-class Engineer
Pinwheel is looking for a creative product-focused engineer that craves autonomy and impact in their role to work across Pinwheel’s entire customer-facing stack. Product Engineering is at the heart of what we do here, and this role will help select and lead impactful projects that touch the surfaces our customers use every day. You’ll work on a nimble team, working directly with cross-functional stakeholders across Engineering, Product, and Design, to execute this mission-critical work.
You’ll focus mostly on front-end engineering work (web app development and mobile SDK development), with some supporting back-end engineering work as well.
Finally, you’ll join a team known for high-velocity, high-quality output and contribute to leveling up that team through mentorship and continuous improvement of our processes and standards.
What will you do?
- Deeply understand our customer needs and design systems to meet them
- Architect and develop frontend experiences used by every Pinwheel customer, partner, and user
- Maintain and improve our admin and customer web applications, as well as our best-in-class web and mobile SDKs
- Support (and at times lead) the development of new products in the Pinwheel ecosystem, balancing high product velocity with quality and reliability
- Contribute to iterative technical quality: we pay down tech debt while we’re working on new projects and expect you to be a leader in the responsible pay-down of tech debt
- Create and improve tooling, processes, and engineering standards across the team
- Mentor engineers and help the team grow
What qualifications are necessary?
- 5+ years of experience building and maintaining front-end or full-stack applications: data modeling, application logic, and user experience
- Prior experience working at an early-stage startup or small tech company
- Deep expertise with modern frontend web frameworks (React, Vue, etc.)
- Experience working with modern back-end languages/frameworks (e.g. FastAPI, Django, Rails, Gin)
- Prior experience working on mobile apps or libraries is a big plus
- Played key implementation roles in projects with multiple teams and engineers
- Desire to learn new systems and technology as our business evolves
- Ability to design systems and evaluate the tradeoffs in scalability, reliability, performance, and maintainability
- Passion for working closely with customers
- Creativity, empathy, and a drive for continuous improvement
Why join Pinwheel?
Best time to join - Our company is small but well-funded, meaning you are joining at a time where you can impact and shape the company.
Be a cultural builder - You will have an active hand in molding the company culture and being a part of the entrepreneurial journey.
Build something revolutionary - Help build the products on the bleeding edge of financial services!
Belong - Join a community that is passionate and relentless about building fairer financial systems for all.
Benefits included:
- Great compensation & equity packages
- Full medical, dental, and vision benefits
- Life & short-term disability insurance
- Flexible PTO policy that prioritizes recharge and balance
- Paid parental leave
- 401K for retirement planning
- Mentorship opportunities
- Free Citibike membership
- Pet friendly offices and Zoom spaces
At Pinwheel, total compensation is made up of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they can bring to the organization in delivering outsized results. The talent market is competitive, and maintaining our ability to recruit and retain the best team possible is a top priority for Pinwheel. When creating an offer, we consider interview performance, candidate experience, external market competitiveness, and internal equity in thoughtfully assessing compensation.
The expected cash salary range for this role is $160,000 - $190,000 base.
Diversity & Inclusion at Pinwheel
At Pinwheel, we are committed to building an environment that is diverse and inclusive. We believe that having people across different backgrounds, experiences, abilities, and perspectives enables us not only to build the best financial products, but to help us realize the best versions of ourselves. Pinwheel is an equal opportunity employer, and we aim to be an open and supportive place to work.
Ready to apply?
Apply to Pinwheel
About us
Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
Who We're Looking For
As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.
You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.
With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.
Note: Due to the nature of our aerospace and defense work, this position is open to US citizens only.
This Role
As a Senior MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.
You'll:
- Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
- Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
- Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
- Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
- Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
- Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
- Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.
As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.
Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.
And it doesn’t stop there …
🚀 Equity options - share meaningfully in the company you’re helping to build.
💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.
🍽️ Free team lunch 1x/week - good food, great company, and space to connect.
🏥 Private health insurance – comprehensive cover for you, offering total peace of mind.
👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
📈 Personal development – dedicated support for learning, development, and leveling up over time.
💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.
💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.
🔎 Watch this space, we’re continuing to build this as we grow…
Salary range:
$200,000 - $250,000 depending on experience
Seniority will be assessed throughout our interview process
Ready to apply?
Apply to PhysicsX
About us
Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
The Role
You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
Who We're Looking For
What a day might look like
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.
And it doesn’t stop there …
🚀 Equity options - share meaningfully in the company you’re helping to build.
💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.
🍽️ Free team lunch 1x/week - good food, great company, and space to connect.
🏥 Private health insurance – comprehensive cover for you, offering total peace of mind.
👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
📈 Personal development – dedicated support for learning, development, and leveling up over time.
💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.
💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.
🔎 Watch this space, we’re continuing to build this as we grow…
Salary range:
$150,000 - $250,000 depending on experience
Seniority will be assessed as part of the interview process
Ready to apply?
Apply to PhysicsX
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments.
Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years.
We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others.
We're a team of 160+ across 26 states and 7 countries, headquartered in New York City.
We're hiring a Senior Software Engineer to join our Infrastructure team and build the backend services and APIs that make Lithic's data accessible across the organization. You'll spend roughly 80% of your time designing and building production backend services — REST APIs that serve data from Snowflake and other sources to internal teams and systems — and 20% supporting our data platform (pipelines, dbt, Airflow). You'll partner closely with the Analytics Engineering team to expose well-modeled data through clean, reliable APIs.
Job responsibilities:
Software Engineering (~80%)
- Design, build, and maintain backend services and REST APIs that serve data from various SQL subsystems and other data sources
- Develop well-tested, production-grade Python services with clean API contracts, proper authentication, versioning, and error handling
- Work closely with the Analytics Engineering team to expose modeled data (billing, settlement, finance) through APIs that downstream consumers can rely on
- Build internal tooling and services that enable the broader organization to self-serve their data needs without writing SQL
- Participate in code reviews, system design discussions, and engineering best practices across the Infrastructure org
- Contribute to service observability: logging, metrics, alerting, and on-call practices for the services you own
Data Engineering (~20%)
- Maintain and improve existing data pipelines that move data from source systems into Snowflake (Airflow, Airbyte)
- Contribute to the dbt project alongside the Analytics Engineering team — model improvements, test coverage, and data quality
- Support data governance practices including access controls, lineage documentation, and data quality standards
Qualifications:
Required:
- Strong Python proficiency with experience building backend services and REST APIs
- Experience with web frameworks such as FastAPI, Flask, Django, or similar
- Solid SQL skills and hands-on experience with modern cloud data warehouses (Snowflake strongly preferred)
- Experience designing and building production APIs with proper authentication, versioning, and error handling
- Familiarity with CI/CD, automated testing, and operational reliability practices
- A track record of shipping reliable, well-tested services in production environments
- Comfort navigating ambiguity and driving projects forward with minimal oversight
Preferred:
- Experience with data pipeline development using tools like Airflow, Airbyte, Dagster, or similar
- Familiarity with dbt or similar transformation frameworks
- Experience in fintech, payments, or other financial services environments
- Familiarity with AWS services (Lambda, S3, RDS, API Gateway, ECS/Fargate)
- Kafka or event streaming experience
- Infrastructure-as-code experience (Terraform, Pulumi)
- Experience at a company processing high transaction volumes where correctness and reliability are non-negotiable
The annual US salary range for this role is $160,000 – $200,000 plus equity. This salary range is inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate's experience and qualifications.
This is a remote position. However, candidates must be located in the United States, Canada, Netherlands, Poland, or Czech Republic. We do not offer visa sponsorship or assistance.
Crack the code
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Benefits for Full-Time US Employees:
- Unlimited PTO
- 12-weeks fully paid parental leave
- 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary)
- Work From Anywhere: work from anywhere in the world 4-weeks each year
- 3% cashback on card purchases with your complimentary Privacy.com employee account
- Health, vision, and dental insurance; HSA Contribution Match
- 401(k) match
- Voluntary Life Insurance and STD/LTD
NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs.
In-office employees receive:
- Commuter benefit
- Catered lunch every Tuesday and Thursday
Ready to apply?
Apply to Lithic
Senior AI Engineer
WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat!
SENIOR AI ENGINEER
We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.
What experience should you have:
- 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
- Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
- Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
- Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
- Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
- Experience in Typescript development for prototyping and integrations
- Proficiency with git workflows and understanding of standard application development processes
Preferred Qualifications
- Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
- Experience optimizing inference costs and latency for large-scale deployments.
- Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
- Any Google Cloud Professional Certification
What you’ll be doing in this role:
- Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
- Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
- Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
- Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
- Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
- Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
- Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
- Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.
What you’ll need to accomplish in your first year:
- Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
- Mentor engineers on best practices for building deterministic software around probabilistic AI models.
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
#LI-Remote
#LI-Hybrid
#LI-Onsite
By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.
Ready to apply?
Apply to Further
Principal Backend Engineer (Forward Deployed)
About Invisible
Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.
Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.
About The Role
As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client.
This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.
**Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise.
What You’ll Do
- Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
- Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
- Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
- Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
- Build shared infrastructure, reusable components, and internal playbooks to level-up the team
- Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible
What We Need
- 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems
- Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
- Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
- Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
- Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
- Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
- Experience building usable systems from messy data and ambiguous requirements
- Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
- Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
- Be willing to be on-call for our customers when situations arise
- Ability to travel roughly 25–50% of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients
- Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience
What’s In It For You
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
For this position, the annual salary ranges by location are:
- Tier 1: $250,000 - $366,000
- Tier 2: $227,000 - $333,000
*Offers will also include bonus + equity
You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.
What It's Like to Work at Invisible:
At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.
We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.
Country Hiring Guidelines:
Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.
AI Interviewing Guidelines:
Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.
Accessibility Statement:
We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.
Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557
Equal Opportunity Statement:
We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
Ready to apply?
Apply to Invisible Technologies
Engineering Manager, Machine Learning Operations
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.
Primary Job Responsibilities:
- Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
- Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
- Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
- Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
- Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
- Ensure MLOps roadmap items are delivered on time and have exceptional quality
- Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
- Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
- Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
- Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
- 3+ years of experience in an engineering leadership role, managing globally distributed teams
- 6+ years of experience in hands-on development of Machine Learning algorithms
- 6+ years of experience in hands-on deployment of Machine Learning services
- 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
- 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
- Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
- Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
- Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
- Proficiency in GitOps and creation/management of CI/CD pipelines
- Demonstrated experience building and using SQL/NoSQL databases
- Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
- Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
- Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
- Ability to be a team player who can also work independently
- Experience working across multiple development teams is a plus
- Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $240,000-$300,000
- Target annual bonus percentage: 15%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-TK1
#LI-Onsite
Ready to apply?
Apply to PitchBook Data
Applied AI Engineer - AI Solutions
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About Snorkel
We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.
Main Responsibilities
- Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
- Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.
- Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role.
- Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
- Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup.
- Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.
- Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
- Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.
- Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
- Annual travel up to 25%.
Preferred Qualifications
- B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
- 3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
- Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow).
- Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI).
- Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
- Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Locations
Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US; New York, NY - Hybrid
#LI-CG1
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Ready to apply?
Apply to Snorkel AIAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy.
This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.
This is a high-agency role that spans all API Engineering teams: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production.
Responsibilities
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Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.
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Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.
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Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.
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Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.
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Mentor and develop Staff-level engineers across the org.
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Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.
You may be a good fit if you:
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Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.
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Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.
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Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust.
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Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.
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Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.
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Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences.
Technical Stack
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Languages: Python, TypeScript
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Frameworks: FastAPI, React
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Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure
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Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore
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Tools: Feature Flagging, Prometheus, Grafana, Datadog
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.
SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.
We’re looking for Software Engineers with prior payments experience to join our enterprise payments team, where we’re building innovative solutions for Rightsholders for their payments infrastructure across online and physical payments.
What you'll do
- Run a modern, containerized service-oriented architecture using industry-leading software development practices
- Ship code to production many times a day
- Solve complex performance problems, empower a data-driven business and scale our software to support our booming business
- Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
- Evaluate new technologies and improve our software stack to keep our technological edge
- Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits
- Work across teams and discipline boundaries to develop the best product in our industry
- Own large areas of the payments stack, from design through operation, including reliability, cost, and performance outcomes
- Iterate and develop against our native payment processing solution, including growing usage across our US and EMEA client base
- Collaborate closely with Finance, Risk, and Product to define and deliver payment strategies
What you have
- Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
- Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
- Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
- A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
- Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
- Experience owning end-to-end payment systems and integrations with external processors (e.g., Stripe, Adyen), including designing resilient, idempotent workflows and handling real-world failure modes.
- Experience operating payment systems in production, including monitoring, incident response, and performance optimization (e.g., authorization rates, cost efficiency).
- Experience working cross-functionally with Product, Finance, and Risk to deliver payment solutions aligned with business goals.
- Experience leading projects or mentoring engineers, with interest in growing into a broader technical or people leadership role.
- Experience ensuring financial correctness through reconciliation, auditability, and robust data modeling
Our stack
You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.
- Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
- Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
- Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
- Streaming & workflows: Kafka, Flink, Airflow, Temporal
Perks
- Equity stake
- Discretionary annual bonus
- Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
- A WFH stipend to support your home office setup
- Unlimited PTO
- Up to 16 weeks of fully-paid family leave
- 401(k) matching
- Student loan matching program
- Health, vision, dental, and life insurance
- Up to $25k towards family building, reproductive health services and Gender-affirming care
- $500 per year for wellness expenses
- Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
- $120 per month to spend on tickets to live events
- Annual subscription to Spotify, Apple Music, or Amazon music
The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.
SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!
To review our candidate privacy notice, click here.
Ready to apply?
Apply to SeatGeek
Senior Software Engineer, Applied AI (Forward Deployed)
About Invisible
Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.
Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.
About The Role
As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products — all while interfacing with technical and non-technical stakeholders.
This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.
You will need to be based in the Greater NYC area and be willing to work from the Manhattan office 3-4 days a week.
What You’ll Do
- Collaborate with delivery leaders to scope technical solutions to operational problems
- Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
- Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
- Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions
- Iterate quickly based on real-time feedback from operators and clients
- Build reusable tooling and infrastructure that accelerates future deployments
What We Need
- 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
- Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
- Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
- Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
- Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
- Strong product and distributed systems skills — you understand business needs and how to translate them into technical architecture
- Experience building usable systems from messy data and ambiguous requirements
- Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
- Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
- Be willing to be on-call for our customers when situations arise
- Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience
What’s In It For You
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
For this position, the annual salary ranges by location are:
*Offers will also include bonus + equity
You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.
What It's Like to Work at Invisible:
At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.
We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.
Country Hiring Guidelines:
Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.
AI Interviewing Guidelines:
Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.
Accessibility Statement:
We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.
Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557
Equal Opportunity Statement:
We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
Ready to apply?
Apply to Invisible Technologies
Staff Software Engineer, Full-Stack - Enterprise Gen AI
Staff Software Engineer, Full-Stack - Enterprise Gen AI
Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences.
At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME’s Person of the Year AI experience (see it in action), where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale’s GenAI Platform (SGP), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it’s developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you’ll play a crucial role in shaping how AI integrates into real-world applications.
You Will:
- Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
- Develop and refine features for Scale’s GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents
- Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
- Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
- Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure
- Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility
Ideally, You Have:
- 5+ years of experience developing frontend or fullstack applications in a modern tech stack
- Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces
- Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments
- A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms
- Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP
- A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life
This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you’re excited by the intersection of AI, frontend engineering, and product design, we’d love to hear from you.
The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400—$310,500 USD
. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.
SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.
We are looking for Software Engineers with varying levels of experience to join SeatGeek’s R&D team.
What you'll do
- Run a modern, containerized service-oriented architecture using industry-leading software development practices
- Ship code to production many times a day
- Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business
- Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
- Evaluate new technologies and improve our software stack to keep our technological edge
- Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits
- Work across team and discipline boundaries to develop the best product in our industry
What you have
- Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
- Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
- Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
- A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
- Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
Our stack
You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.
- Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
- Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
- Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
- Streaming & workflows: Kafka, Flink, Airflow, Temporal
Perks
- Equity stake
- Discretionary annual bonus
- Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
- A WFH stipend to support your home office setup
- Unlimited PTO
- Up to 16 weeks of fully-paid family leave
- 401(k) matching
- Student loan matching program
- Health, vision, dental, and life insurance
- Up to $25k towards family building, reproductive health services and Gender-affirming care
- $500 per year for wellness expenses
- Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
- $120 per month to spend on tickets to live events
- Annual subscription to Spotify, Apple Music, or Amazon music
The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.
SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!
To review our candidate privacy notice, click here.
Ready to apply?
Apply to SeatGeek
SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.
SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.
We are looking for Software Engineers with varying levels of experience to join SeatGeek’s R&D team.
What you'll do
- Run a modern, containerized service-oriented architecture using industry-leading software development practices
- Ship code to production many times a day
- Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business
- Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
- Evaluate new technologies and improve our software stack to keep our technological edge
- Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards
- Work across team and discipline boundaries to develop the best product in our industry
What you have
- Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
- Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
- Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
- A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
- Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
Our stack
You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.
- Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core
- Datastores: Postgres, MemcachedRedis, Elasticsearch
- Cloud: AWS, k8s, argo
- Version control: Gitlab
- AI Tooling: Cursor, Github Copliot, Claude Code
- Observability: Datadog
- Client-side: React+Typescript, Swift, Kotlin
Perks
- Equity stake
- Discretionary annual bonus
- Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
- A WFH stipend to support your home office setup
- Unlimited PTO
- Up to 16 weeks of fully-paid family leave
- 401(k) matching
- Student loan matching program
- Health, vision, dental, and life insurance
- Up to $25k towards family building, reproductive health services and Gender-affirming care
- $500 per year for wellness expenses
- Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
- $120 per month to spend on tickets to live events
- Annual subscription to Spotify, Apple Music, or Amazon music
The salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.
SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!
To review our candidate privacy notice, click here.
Ready to apply?
Apply to SeatGeek
Biograph is looking for senior software engineers to help us scale a data driven approach to preventative care.
Our small and nimble engineering team thrives on ownership and autonomy. We’re building foundational systems with an eye toward scalability and an emphasis on best practices. We’re looking for people who value product and communication as much as technical excellence. Joining this early provides a great opportunity to help shape our technical systems and culture.
This is a hybrid role based in New York City. Team members typically work in our Manhattan office ~3 days a week, with empathetic flexibility.
WHAT YOU WILL DO
We are building new impactful products and have opportunities across the full stack on any of the following teams:
- Member applications - build engaging, user-friendly applications that empower people to manage their health with confidence. NextJS and React Native.
- Clinical applications- build innovative tools that elevate the effectiveness of our world-class clinical team. NextJS and Django/FastAPI.
- Core services - connect and utilize the world’s health data to improve patient outcomes. Help architect modern data pipelines paired with FastAPI python services.
WHAT YOU BRING TO THE ROLE
- 5+ years of professional Software Engineering experience.
- Familiarity with one of the technologies or problem spaces listed above.
- Able to work in our NYC office (FiDi) 3-5 days a week.
- Excited about applying technology to improve healthcare.
COMP | PERKS | BENEFITS
- $150,000 - $200,000 per year
- Equity in an early stage company
- Medical, dental, and vision insurance
- 401(k)
- Paid maternity / paternity leave
- Unlimited PTO
- Biograph Membership
WHY JOIN US?
Biograph is on a mission to drive meaningful advances in human healthspan and lifespan. We’re not simply focused on helping you live longer, we’re focused on making every year the best it can be. Biograph is an equal opportunity employer offering competitive salaries, comprehensive health benefits, and a people focused culture.
- Innovation at the Core: Work with a forward-thinking team that merges the latest in health technology, data science, and personalized care.
- Collaborative Ecosystem: Work alongside engineers, designers, and clinicians to create groundbreaking solutions that redefine what's possible in healthcare. You will be part of a multidisciplinary team where innovation thrives, and every voice matters, contributing to a culture that values diverse perspectives and bold thinking.
- Impactful Leadership: Be the voice for our members' health journeys, influencing the development of cutting-edge tools and technologies to enhance their lives.
- Opportunities for Growth: With Biograph, you're not just stepping into a role—you're joining a company where growth and development are prioritized. As we continue to scale and innovate, you will have opportunities to expand your expertise, take on new challenges, and make meaningful contributions to the broader healthcare landscape.
- A Purpose-Driven Mission: At Biograph, we're committed to more than just healthcare—we're focused on changing lives by extending healthspans and improving quality of life through personalized care. If you're passionate about making a tangible difference, this is your chance to be part of something truly transformative.
Ready to apply?
Apply to Biograph
Senior Software Engineer
🚀 Role Overview
Awarded Software is looking for a Senior Software Engineer to accelerate our vision for a world with fairer, more accessible and more transparent scholarships.
$240B in financial aid is available every year, yet billions of dollars are wasted, hurting students and donors alike. The scholarship ecosystem is rife with decades-old processes and problems: paper-based applications, excel sheets that pass through 6-10 people with minimal version and quality control, lack of automation, and countless opportunities left on the table to transform students’ lives.
Today, Awarded has built a transformational product that has been adopted by universities all across the United States. We are looking for a talented and ambitious engineer to join our team, accelerate our pace and help us expand our business.
🎯 Key Objectives
- Design and implement the expansion of our core backend to model and solve complex scholarship workflow problems of colleges & universities both large and small
- Drive initiatives to more seamlessly connect Awarded with our customers’ systems
- Become an expert across our entire stack, contributing best-in-class code to our frontend, backend, and infrastructure with a balance of performance and maintainability
🌟 What Defines Success
- Excellence in Code: Your code isn't just functional; it's a work of art - efficient, maintainable, and scalable.
- Accelerated Outcomes: You maintain a high pace of development, pushing the product forward to new frontiers and continuously delivering value for end-users
- Autonomous Leader: Self-driven and resourceful, you are as independent as you are collaborative
🔍 Skills & Experience
- Strong Technical Foundation: You have a demonstrated track record of delivering complex software solutions with high quality . Bonus points if you are especially proficient in:
- Frontend: Typescript, React, Next.js
- Backend: Python, GraphQL, Postgres, FastAPI
- Infrastructure: Terraform, AWS, Docker, Render
- Autonomous Problem Solver: You're a quick learner, undaunted by new challenges, and proficient from day one.
- Startup Savvy: Experience thriving in an early-stage startup environment, demonstrating agility, resilience, and a hands-on approach.
👬 Meet The Founders
Pranav Kunapuli (co-founder & CTO) is a University of Pennsylvania graduate who has demonstrated excellence at both large companies and small startups. He began his career at Bloomberg where he continuously drove initiatives for customers using his team’s high-throughput trading API. At Pinwheel, a then-series A startup, Pranav spearheaded development on the early stages of their recurring access product. He played a critical role in building the product engineering team and mentoring new engineers. Pranav is passionate about helping students afford higher education.
Amaan Badruddin is the co-founder and CEO of Awarded. Amaan comes from GoHealth, a company that aims to improve healthcare access in America, where he had responsibilities across sales, strategy & operations and FP&A, prior to working with the company’s Co-Founder and CEO as Chief of Staff, and saw the company from late stage funding through its IPO. Prior to GoHealth, Amaan worked at Bain & Company, a management consulting firm. He also previously served as CEO of Student Holdings, a portfolio of businesses serving the Northwestern and Chicago communities, as well as a board member on the Clark and Hinman Foundation, a non-profit providing merit-based scholarships to Northwestern students committed to service and leadership. Amaan graduated from Northwestern University with a degree in Industrial Engineering.
Equal Opportunity Employer
Awarded Software does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Ready to apply?
Apply to Awarded Software
Senior Full Stack Engineer, Credit Products
ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM 📋
The Credit Products team helps clients improve their readiness for homeownership, through a collaboration between Rocket Money and Rocket Mortgage. We build technology and solutions that empower both our clients, and the internal teams who work directly with them. Some of the key products we support include:
- User-facing public web applications and CRM for clients interested in home ownership.
- Internal tools to improve the efficiency of licensed mortgage bankers and consultants.
- Data pipelines for receiving, enriching, and operationalizing data across the company.
Our platform is a bit over a year old, and much of our work is greenfield development on applications we’ve built as a small team. At the same time, we interact extensively with existing systems within our larger parent organization. As a result, our days are usually a healthy mix of deep, focused development, alongside collaboration with teams across the company.
A (non-exhaustive) list of a few technologies we work with frequently include: Python, FastAPI, UV, Kafka, Confluent, React, TypeScript, TanStack, C#, .Net, Postgres, Docker, Kubernetes, Terraform, SalesForce, AWS, and GitHub Actions.
ABOUT YOU 🤹♀️
We’re looking for experienced, full-stack software engineers to own the lifecycle of turning our team’s ideas and needs into reality. Ideally, you have deep familiarity with our tools and tech stack so you can hit the ground running. Even more importantly, you’re an adaptable learner who’s driven by growth—both your own, and that of the organization. You’ll be a great fit if you:
- Have 7+ years of experience in relevant software engineering projects.
- Have an entrepreneurial spirit, and are excited to use your technical skills to positively impact business outcomes.
- Write clean, reliable code across a variety of platforms.
- Have significant professional experience working with one or more of the following: Python, React (or similar frontend framework), Postgres (or a similar relational database).
- Are naturally collaborative, curious, and communicative, and enjoy ideating with product, marketing, and other engineering teams as much as you love writing code.
- Are motivated by our mission to help people improve their financial lives, and achieve homeownership.
WE OFFER 💫
- Health, Dental & Vision Plans
- Life Insurance
- Long/Short Term Disability
- Competitive Pay
- 401k Matching
- Team Member Stock Purchasing Program (TMSPP)
- Learning & Development Opportunities
- Tuition Reimbursement
- Unlimited PTO
- Daily Lunch, Snacks & Coffee (in-office only)
- Commuter benefits (in-office only)
Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Rocket Money
Machine Learning Engineer
Job Title: Machine Learning Engineer (Level II)
Location: Remote
Start Date: ASAP
Foam, part of Whalar Group, is the operating system for managing digital talent. Foam is a suite of intuitive pitching tools and AI-enhanced features powered by real-time, certified metrics from Instagram, TikTok, YouTube, and Snap. Foam empowers managers with the data they need to analyze content performance, inform talent negotiations, and maximize brand opportunities. With over 40,000 Creators and hundreds of millions of integrated data points, Foam streamlines the entire pitching process, eliminating spreadsheets, screenshots, and slides, allowing managers to focus on providing strategic support to their talent. Learn more at foam.io.
About the role:
We’re looking for a Machine Learning Engineer (Level 2) to join our growing ML Engineering team and lead the development of advanced AI systems that power our platform. You’ll design and deploy the core intelligence behind our products, with a focus on building autonomous, stateful AI agents capable of reasoning, learning, and acting in dynamic environments.
In this role, you’ll bridge the gap between research and production, architecting, training, and scaling systems that turn cutting-edge ideas into reliable, production-ready tools. You’ll collaborate with engineering, data, and product teams to create cohesive, high-performance ML ecosystems across multimodal search, forecasting, and video understanding.
If you’re passionate about pushing the boundaries of applied AI, designing intelligent systems that think and evolve, this is an opportunity to have real impact.
Here’s what you’ll do day-to-day:
- Design and deploy autonomous AI agents, including reasoning loops, memory layers, and orchestration pipelines.
- Build observability and evaluation systems to monitor reasoning, token usage, and model performance, ensuring reliable production behavior.
- Lead the development of multimodal ML pipelines for semantic search, RAG, recommendation systems, and vector search across text, image, and video data.
- Engineer high-throughput time-series analytics and forecasting models that connect batch OLAP queries with real-time inference.
- Develop and maintain scalable asynchronous APIs and containerized services, ensuring reliability, monitoring, and performance optimization.
- Partner with product and engineering teams to translate business goals into measurable ML outcomes.
- Drive research-to-production pipelines for experimental AI projects and evaluate emerging technologies to advance our platform.
Here’s what we’re looking for:
- 2+ years of experience in machine learning engineering, building production-grade ML systems.
- Hands-on experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, Zep, Mem0, Langfuse, LangSmith).
- Experience building RAG pipelines, recommendation systems, and/or vector search applications (e.g., Pinecone, Vespa, PostgreSQL + pgvector).
- Strong background in time-series modeling, anomaly detection, and large-scale data analysis (e.g., Clickhouse).
- Skilled in asynchronous API design, containerization, and modern CI/CD workflows (FastAPI, Docker, Kubernetes, GitHub/Bitbucket).
- Excellent EDA skills with the ability to translate data insights into production-ready ML solutions.
- Comfortable working with LLM ambiguity, designing systems that fail gracefully and learn continuously.
- Proactive, independent, and curious—able to own complex features end-to-end and raise the technical bar for the team.
- Strong communication skills—able to explain trade-offs between AI approaches and align technical metrics to business goals.
- Experience leveraging AI tools and functionality to improve workflow efficiency, research, and experimentation.
The salary range for this role is $150,000 - $160,000 and serves as a general guideline reflecting the potential compensation for the role. The final salary offer will be determined based on a comprehensive evaluation of factors such as the candidate's experience, expertise, alignment with the position's requirements, and ultimately budget approvals.
Our values:
At Whalar, diversity, equity, and inclusion (DEI) isn't just a statement, it's our collective strength. Our people are our superpower. A diverse team and inclusive leadership have shaped Whalar since our inception in 2016, fueling a constant evolution of growth. We champion a culture of respect and empathy, fostering a sense of belonging that transcends demographics. We hire individuals of all backgrounds and empower them to thrive, challenge stereotypes, and actively break societal barriers.
The perks:
Whalar provides flexible benefits and collaborative work environments/experiences, so employees can work productively in a setting that best and uniquely suits their needs.
- Medical, Dental, Vision
- 25 days of PTO + Sick days + Winter break
- Retirement planning with employer match
- Monthly phone/internet reimbursement
- Professional development stipend
- New joiner Home office allowance
- Up to 16 weeks of paid parental leave
- Volunteer days
- Identity theft protection & Legal assistance
- Company Paid Life & Disability Insurance
- Extra Voluntary Life Insurance Policy
- Voluntary Hospital and Critical Illness Insurance
- Voluntary Pet insurance
- Employee Resource Groups
Whalar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Equal opportunity extends to all aspects of the employment relationship, including hiring, promotions, training, working conditions, compensation, and benefits.
Ready to apply?
Apply to Whalar Group
Senior Product Engineer, Rocket Ready
The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) 1-2x per week.
ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM 📋
The Rocket Ready team helps clients improve their readiness for homeownership, through a collaboration between Rocket Money and Rocket Mortgage. We build technology and solutions that empower both our clients, and the internal teams who work directly with them. Some of the key products we support include:
- User-facing public web applications and CRM for clients interested in home ownership.
- Internal tools to improve the efficiency of licensed mortgage bankers and consultants.
- Data pipelines for receiving, enriching, and operationalizing data across the company.
Our platform is a bit over a year old, and much of our work is greenfield development on applications we’ve built as a small team. At the same time, we interact extensively with existing systems within our larger parent organization. As a result, our days are usually a healthy mix of deep, focused development, alongside collaboration with teams across the company.
A (non-exhaustive) list of a few technologies we work with frequently include: Python, FastAPI, UV, Kafka, Confluent, React, TypeScript, TanStack, C#, .Net, Postgres, Docker, Kubernetes, Terraform, SalesForce, AWS, and GitHub Actions.
ABOUT YOU 🤹♀️
We’re looking for experienced, full-stack software engineers to own the lifecycle of turning our team’s ideas and needs into reality. Ideally, you have deep familiarity with our tools and tech stack so you can hit the ground running. Even more importantly, you’re an adaptable learner who’s driven by growth—both your own, and that of the organization. You’ll be a great fit if you:
- Have 7+ years of experience in relevant software engineering projects.
- Have an entrepreneurial spirit, and are excited to use your technical skills to positively impact business outcomes.
- Write clean, reliable code across a variety of platforms.
- Have significant professional experience working with one or more of the following: Python, React (or similar frontend framework), Postgres (or a similar relational database).
- Are naturally collaborative, curious, and communicative, and enjoy ideating with product, marketing, and other engineering teams as much as you love writing code.
- Are motivated by our mission to help people improve their financial lives, and achieve homeownership.
WE OFFER 💫
- Health, Dental & Vision Plans
- Life Insurance
- Long/Short Term Disability
- Competitive Pay
- 401k Matching
- Team Member Stock Purchasing Program (TMSPP)
- Learning & Development Opportunities
- Tuition Reimbursement
- Unlimited PTO
- Daily Lunch, Snacks & Coffee (in-office only)
- Commuter benefits (in-office only)
Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Rocket Money
TITLE: Software Engineer
Reporting To: Software Engineer Lead
LOCATION: Brooklyn, New York (Onsite M-F)
Who The Flip Is Flip?
Ever call your favorite eCommerce brand or healthcare provider, and have a crazy good Voice AI answer? That’s Flip. Hundreds of brands from Under Armour and Tory Burch in retail to Experity and Fast Pace Health in healthcare trust Flip to have millions of phone calls with their customers every month.
We’ve built our company on the idea that the best way to grow is to have a reference list as long as our customer list, and a constant belief that the team is the best thing we’ve built. Both are true today and increasingly so every day.
Many on our team would tell you this is their favorite place they’ve ever worked, and the hardest they’ve ever worked. It’s ideal for people who want to go all-in, do the work, ride the roller coaster, and have a great Flippin time doing it. We’re a small and mighty team of 50 today with offices in NYC, LA, and the UK.
What You’ll Do
At Flip, you'll create user experiences, design and implement new features, and oversee entire pipelines of the Flip assistant. You'll also get deep into the data, interact with our customers, and help shape the direction of the product. We have a few excellent senior engineers already on the team, one of which will become your direct mentor!
You will get to work on intricate Python-based systems that interface with a wide range of external APIs, develop optimized LLM interfaces, handle complex dialogue management and flows, shape conversational workflows, and ensure low-latency, high-availability voice experiences.
Who You Are, As An Engineer
- You’re able to dive into the deep end of a complex Python codebase, and quickly understand what’s going on from the syntax.
- You write clean, pythonic, well-tested, and maintainable code, building off existing functionality appropriately, and adopting established code style.
- You can perform thorough yet swift PR code reviews – for code written by the R&D team and your own.
- You are fast yet meticulous, proactive yet careful, autonomous yet unafraid to ask for help.
- You own your work and take responsibility, fostering trust with all your colleagues.
- You are able to multitask, actually and literally.
- You constantly monitor performance and can troubleshoot production issues across services and integrations in a timely manner.
- You strive to always push the product forwards, and generally not concerned about theoretical engineering perfection when it doesn’t matter.
- You really, really care about the customer.
Who You Are, As A Person
- You hold a BS in Computer Science, Mathematics or Engineering, or related scientific or technical discipline.
- You are an exceptional programmer, and have a strong proficiency in Python (minimum of 3-5 years): you can write pythonic code and have experience working with asyncio, decorators, advanced class usage (dataclasses, inheritance), an array of modules, and frameworks like FastAPI or Pipecat.
- Familiarity with REST APIs, authentication methods (OAuth2, JWT, Bearer Tokens, etc), and third-party integrations.
- You have a good working knowledge of data analytics and metrics pipelines, and have worked with data analytics systems such as Omni, Tableau, Looker, Grafana, etc.
- You put in the time and dedication to write, iterate, deploy, and monitor work you're proud of.
- You can effectively communicate with non-technical teammates and clients when needed.
- You are eager and willing to support your teammates – just like they will be with you!
Bonuses
- You are an experienced LLM Prompt Engineer and have fine-tuned or deployed LLMs yourself.
- You have experience with Pipecat, or TTS and STT pipelines in general.
- You have experience working with AWS cloud services, Google Cloud, Kubernetes, and/or Ansible, and know your way around a terminal.
- You have an entrepreneurial drive, and know what it’s really like to work at a successful startup.
- You can work onsite in our NYC/LA office – Partnering closely with the rest of the R&D Team, and Product and Customer Success Managers.
More About Us
- We're international, spanning the US, UK, and Canada
- We’ve raised +$30M to date including our recent $20M Series A - backed by Ridge, Next Coast, ScOp, Bullpen Capital, Data Point and Forum Ventures, as well as founders & executives from Amazon Alexa, Ada, Attentive, and Simon Data
- Comprehensive healthcare and unlimited vacation, including a mandatory half week for everyone over July 4, and a full week off at the end of the year
- In office 5 days/week
#FlippinLegend
Final compensation may vary based on location, experience, and qualifications. This role is also eligible for equity, in accordance with company policy, and subject to board approval.
Our customers span the globe, and so do our offices. Flip is committed to providing equal employment opportunities for all employees, applicants, and covered individuals regardless of protected characteristics. We want our company to be as diverse and inclusive as our customers.
Ready to apply?
Apply to Flip
We are seeking a talented senior software engineer with strong experience in backend services and cloud infrastructure platforms to advance our core mission: using the world’s most advanced technology for emotion understanding to build empathy and goal-alignment into AI. Join us in New York City, or wherever you are located, and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.
About Us
Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. We’re gearing up to launch the next generation of Octave and EVI, our foundational speech-language models for voice generation and powering real-time empathic AI assistants for any application.
Our models understand and generate subtle tones of voice, word emphasis, and more and the reactions of users. They are rated higher than models by OpenAI and others on empathy, expressiveness, naturalness, and speed, instantly speak with 100K+ unique voices and styles, stream language, emotion, and reasoning – all at once, and are fast enough to feel truly conversational (<300ms latency). Try them at hume.ai.
Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIRED, Forbes, and Venturebeat.
About the Role
As a Senior Platform Engineer, you will work directly with our team of research scientists, machine learning engineers, and designers to improve the services that allow us to deliver expression measurement, expression generation, and empathic foundation models in a number of groundbreaking applications. You will support cutting-edge research by contributing to the design, construction, and maintenance of a modern and efficient cloud AI infrastructure and the applications that run on it. You will be expected to operate with a high degree of autonomy, make sound architectural decisions, and take ownership of systems from design through production.
Responsibilities
-
Write clear and concise code to extend functionality on our platform and backend services.
- Architect and implement systems that enable new features and improvements of our API.
-
Own the design and evolution of our cloud infrastructure, from deployment pipelines to production services.
-
Communicate, collaborate, and grow alongside our engineering team.
- Champion well-tested, highly observable software with a focus on reliability and latency.
Requirements
-
5+ years of experience in developing backend services.
-
Expertise working with compute and storage on a cloud platform (e.g. GCP, AWS).
- Experience in Kotlin/Spring, Typescript/Express, Python/FastAPI, or Rust.
-
Deep understanding of modern deployment strategies utilizing cloud technologies (e.g. blue/green, canary deployments, etc).
-
Familiarity with service deployment tooling (especially Kubernetes, Terraform, Argo, Docker).
-
History building and maintaining highly available SaaS products which ensure scalability, performance, and observability.
-
Excellent communication and collaboration skills.
Bonus
-
Experience with machine learning concepts.
-
Experience with relational databases (PostgreSQL, BigQuery, etc.).
Application Note
Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered.
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