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.
  
  

Senior Manager, Data Science

Portfolio Management and Loss Mitigation

The Role: 

SoFi is seeking an inspirational and deeply experienced Senior Manager to lead the Portfolio Management and Loss Mitigation function in our Risk Data Science team. Reporting to the Head of Risk Data Science, this role will lead the development, deployment, and governance of portfolio management and loss mitigation models for all credit products.

The ideal candidate is a hands-on leader who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve portfolio performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence stakeholders, and proven success in delivering complex models into a regulated production environment.

What You'll Do: 

• Portfolio Management and Loss Mitigation Excellence: Directly oversee the development and deployment of Next Generation models designed to manage and mitigate portfolio losses while maintaining loss guardrails.
• Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply.
• Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (Macro-Economic variables, tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products.
• Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture.
• Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory).
• Stakeholder Alignment: Interact and negotiate with senior management and external stakeholders to reconcile competing views and drive critical, high-impact business decisions.
• Automation and Efficiency: Lead efforts to automate model monitoring and governance processes to create scalable and auditable infrastructure.

What You'll Need:

• Experience: 8+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 3 years in a people management role, managing technical staff.
• Education: Master’s or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.).
• Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference).
• Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment.
• Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS).
• 3+ years of progressive people management experience is required, including the ability to recruit, mentor, and foster talent within a team of high-performing Staff and Senior Data Scientists.
• Communication: Ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership.

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.

The role:

We are looking for a Senior Data Scientist and/or Machine Learning Model Developer to join our Fraud Model Development Team. This role owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products including Personal Loans, Student Loans, Credit Cards, and Crypto.

The Senior Fraud Model Developer is accountable for measurable fraud loss reduction and false positive improvements within assigned domains. This individual partners closely with Fraud Prevention, Risk, Operations, Finance, Compliance, and ML Platform teams to influence fraud strategy, inform risk tolerance decisions, and ensure models deliver sustained business impact.

This position requires deep expertise in data analytics, statistical modeling, and machine learning, along with the ability to translate complex model performance into clear business outcomes. The ideal candidate brings strong fraud domain knowledge, production ML experience, and a demonstrated ability to manage model risk and complexity at scale

What you’ll do:

The Senior Fraud Model Developer will help SoFi build and scale high-performing fraud modeling solutions by:

• Owning end-to-end development of fraud models within assigned product or risk domains, from problem framing through production deployment and ongoing monitoring
• Driving measurable reductions in fraud loss, false positives, and operational expenses
• Translating model outputs into business impact metrics and influencing fraud strategy decisions
• Aggregating and synthesizing datasets from multiple data environments to design scalable and reusable modeling frameworks
• Analyzing complex datasets to identify drivers of fraud loss and member friction across products
• Conducting trade-off analysis between fraud loss mitigation, customer experience, and regulatory guardrails
• Establishing and maintaining model monitoring standards (e.g., performance metrics, drift detection, recalibration cadence) to proactively manage model risk
• Investigating external risk data and emerging fraud patterns to inform roadmap prioritization
• Partnering with ML Platform teams to productionize models in AWS and improve lifecycle governance
• Reducing model development cycle time by simplifying processes, improving documentation rigor, and creating reusable components
• Handling escalations related to model performance, risk exposure, or business impact within assigned scope
• Influencing roadmap sequencing and contributing to prioritization discussions based on ROI, regulatory considerations, and level of effort

What you’ll need:

• 7+ years of advanced quantitative modeling experience, or
• Master’s degree and 5+ years of related experience, or
• PhD and 3+ years of related experience, or
• Equivalent practical experience
• Demonstrated ownership of production machine learning models with measurable impact on fraud loss or false positive reduction
• Deep expertise in Python, SQL, and data visualization tools (e.g., Tableau)
• Strong knowledge of statistical methodologies and machine learning techniques (e.g., regression, decision trees, gradient boosting, random forests, neural networks, clustering analysis)
• Experience designing, validating, and monitoring models using metrics such as AUC, KS, precision/recall, and drift detection
• Ability to independently determine modeling approaches, manage trade-offs, and execute solutions with minimal guidance
• Experience partnering cross-functionally with Risk, Fraud Ops, Engineering, Finance, and Compliance stakeholders
• Strong communication skills with the ability to distill complex technical concepts into clear business recommendations
• Demonstrated ability to manage risk exposure within projects and proactively escalate with proposed solutions
  
  

Nice to have:

• Direct experience in fintech, banking, payments, or digital fraud risk
• Familiarity with graph databases and network-based fraud detection
• Experience developing and deploying models in AWS environments
• Experience influencing fraud policy or risk tolerance decisions

The role:

• As a Senior Staff Software Engineer at Galileo, you will lead broad, impactful projects across multiple teams as one of the senior-most technical contributors. Your influence will span across teams, projects and locations, shaping both our technical direction as well as how our teams build and operate software systems.
• You will be hands-on and in the details as an exemplary practitioner for both the software we develop, as well as the tools and techniques we use to test, release and operate it. You will help teams evolve code-bases to ship improvements safely and frequently. As part of this, you will steward a broader engineering community and mentor others.
• You will proactively identify the problems to solve and advocate for the right organization priorities. This role is inherently cross-functional and you will work closely with engineering, product, risk, compliance, data, legal, and executive teams to define and execute on technical strategy. You’ll face and solve a wide range of challenges: technical, product, and operational, shaping your personal growth and career along the way.

What you’ll do:

• Own driving Galileo’s software architecture and systems forward, setting long term direction and executing on it across multiple teams and quarters.
• Build as an exemplary practitioner: you will get to be hands-on developing software, and set a high quality standard for teams to follow.
• Define the right boundaries, APIs, and integrations between our teams and with our clients and partners to set us up for technical and business success.
• Solve complex engineering problems endemic to high-availability, low-latency, scalable distributed systems.
• Execute large-scale projects, leading design, planning, and execution across multiple teams to drive technical directions and product outcomes.
• Proactively identify broader problems and opportunities. Anticipate and design the next generation of our systems and products.
• Raise the quality of our engineering teams: you will identify opportunities and advocate for improvements to the way we write software, our approach testing and quality, and shape the habits and processes of highly effective teams.
• Mentor and coach to individuals and teams across the company. Steward engineering communities, fostering design collaboration and mindshare.
• Articulate how technical architecture and team structure interact, provide input to the right organization structure to deliver on our engineer goals.
• Strategic advisor to leadership, representing technical strategy to business and executive stakeholders, and participating in strategic planning.
• Continuously drives improvement, new practices and operational excellence initiatives across the department (e.g. multiple groups).
• Raises the quality of department and products. Be able to stand up processes, mechanisms, or tools to improve engineering excellence, operations, and quality of our technology.
• Through a combination of working through others and their contribution, improves the department's systems by championing improvements in code, design, and operational reviews. Leads initiatives that improve department software quality and operations. Be a stakeholder in engineering norms and standards for code quality, software quality, and operational excellence for your department.

What you’ll need:

• 10+ years programming experience, mastery of software development independent of language (Ideally in Python)
• Advanced expertise in designing, building, and operating large-scale fault-tolerant distributed systems, applications, databases, and workflows.
• Demonstrated experience with continuous delivery principles and techniques: you’ve built systems with layered test automation that is always safe for automated releases to production, enabling a great, low-cycle time developer experience.
• A high standard for what “great” looks like, and experience continuously improving legacy systems to reach it.
• Strong judgment, experience recognizing and driving out critical decisions in a balanced and pragmatic way.
• Experience building systems with public cloud infrastructure, preferably AWS.
• Excellent verbal and written communication skills.
• Ability to lead and influence technical direction across multiple teams.
  
  

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.