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This is Engineering at Lattice
At Lattice, we build software that helps people and organizations thrive. Our engineering team values maintainable systems, strong collaboration, and thoughtful product experiences.
As we expand AI-powered capabilities across our platform, security is a core part of how we design, build, and operate our product. Our Product Security team partners closely with engineering to ensure we ship features that are secure by default and resilient in production.
What You Will Do
You will work closely with product and platform engineering teams to improve the security of Lattice’s applications and services.
Product Security & Engineering Partnership
- Partner with engineers to identify, triage, and remediate security issues in product features and services
- Participate in security reviews and threat modeling for new features and systems
- Perform security-focused code reviews and help identify common vulnerabilities
- Contribute to secure-by-default patterns, libraries, and tooling in our TypeScript-based stack
Security Tooling & Operations
- Help implement and operate security tooling (SAST, DAST, dependency scanning, etc.)
- Support vulnerability management workflows, including internal findings and bug bounty reports
- Assist in investigating security issues and assessing risk and impact
Cloud & Platform Security
- Collaborate with platform and infrastructure teams to improve application and cloud security posture
- Contribute to improving security practices in AWS-based environments
AI/LLM Security
- Assist in identifying and mitigating risks in AI/LLM-powered features, including prompt injection, data leakage, and unsafe output handling
- Apply emerging best practices (OWASP Top 10 for LLM Applications) to real product use cases
Security Enablement
-
- Contribute to security guidance, documentation, and training for engineering teams
- Help improve how security is integrated into the development lifecycle
What You Will Bring to the Table
Experience that is important for you to have at some level:
- 1–3+ years of experience in product security, application security, or software engineering
- Experience writing and maintaining code in JavaScript/TypeScript (or similar languages like Python or Ruby)
- Familiarity with common web and API vulnerabilities (e.g., OWASP Top 10)
- Exposure to security testing tools (SAST, DAST, dependency scanning, etc.)
- Experience working in or with cloud environments (AWS or similar)
Technical Approach
- Ability to identify common security risks and suggest practical mitigations
- Understanding of secure coding practices and basic security controls
- Interest in how security decisions impact real-world product systems
Collaboration & Growth
- Strong communication skills and ability to work closely with engineering teams
- Willingness to ask questions, learn quickly, and take ownership of well-scoped problems
- Ability to contribute to team discussions and share security context effectively
Experience that would be nice to have:
- Experience with modern web architectures (Next.js, NestJS, GraphQL)
- Familiarity with containerization or Kubernetes
- Experience or interest in AI/LLM security, including
----
The estimated annual cash salary for this role is $116,500 - $154,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter & Parking Accounts; Lunches in the Office; Internet and Phone Stipend; 401(k) retirement plan; Financial Planning; Learning & Development Budget
*Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.
Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.
#LI-remote
About Lattice
Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies.
Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto.
Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with Lattice's Job Applicant Privacy Policy.
Ready to apply?
Apply to Lattice
This is Engineering at Lattice
At Lattice, we build software that helps people and organizations thrive. Our engineering team values maintainable systems, strong collaboration, and thoughtful product experiences.
As we expand AI-powered capabilities across our platform, security is a core part of how we design, build, and operate our product. Our Product Security team partners closely with engineering to ensure we ship features that are secure by default and resilient in production.
What You Will Do
You will work closely with product and platform engineering teams to improve the security of Lattice’s applications and services.
Product Security & Engineering Partnership
- Partner with engineers to identify, triage, and remediate security issues in product features and services
- Participate in security reviews and threat modeling for new features and systems
- Perform security-focused code reviews and help identify common vulnerabilities
- Contribute to secure-by-default patterns, libraries, and tooling in our TypeScript-based stack
Security Tooling & Operations
- Help implement and operate security tooling (SAST, DAST, dependency scanning, etc.)
- Support vulnerability management workflows, including internal findings and bug bounty reports
- Assist in investigating security issues and assessing risk and impact
Cloud & Platform Security
- Collaborate with platform and infrastructure teams to improve application and cloud security posture
- Contribute to improving security practices in AWS-based environments
AI/LLM Security
- Assist in identifying and mitigating risks in AI/LLM-powered features, including prompt injection, data leakage, and unsafe output handling
- Apply emerging best practices (OWASP Top 10 for LLM Applications) to real product use cases
Security Enablement
-
- Contribute to security guidance, documentation, and training for engineering teams
- Help improve how security is integrated into the development lifecycle
What You Will Bring to the Table
Experience that is important for you to have at some level:
- 1–3+ years of experience in product security, application security, or software engineering
- Experience writing and maintaining code in JavaScript/TypeScript (or similar languages like Python or Ruby)
- Familiarity with common web and API vulnerabilities (e.g., OWASP Top 10)
- Exposure to security testing tools (SAST, DAST, dependency scanning, etc.)
- Experience working in or with cloud environments (AWS or similar)
Technical Approach
- Ability to identify common security risks and suggest practical mitigations
- Understanding of secure coding practices and basic security controls
- Interest in how security decisions impact real-world product systems
Collaboration & Growth
- Strong communication skills and ability to work closely with engineering teams
- Willingness to ask questions, learn quickly, and take ownership of well-scoped problems
- Ability to contribute to team discussions and share security context effectively
Experience that would be nice to have:
- Experience with modern web architectures (Next.js, NestJS, GraphQL)
- Familiarity with containerization or Kubernetes
- Experience or interest in AI/LLM security, including
Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.
----
The estimated annual cash salary for this role is CAD $93,750 - CAD $125,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.
*Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.
Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.
#LI-remote
About Lattice
Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies.
Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto.
Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with Lattice's Job Applicant Privacy Policy.
Ready to apply?
Apply to Lattice
Associate Software Engineer
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The Baseball Data Platform team is seeking an Associate Software Engineer. From Statcast to ABS and beyond, the Baseball Data Platform is the bedrock of all Major League Baseball stats. Used by fans, broadcasters, stadiums, MLB Clubs, and across the league, if you’ve seen a data point about baseball, there's a good chance it started here.
We are seeking software engineers who possess a strong passion for developing new technologies within the baseball industry. This position provides the opportunity to collaborate with world-class engineers, product developers, and designers; contribute to acclaimed and sophisticated applications and systems; influence the innovation of products utilized by millions globally; and work within a highly collaborative, results-oriented team environment.
Responsibilities
Coding
- Write clean, concise, modular code that is easily testable
- Contribute to the Baseball Data API layer that powers baseball stats across the organization
- Design and build consistent, easy to use UIs, working with our operations partners to ensure their needs are met
- Utilize and contribute to applications deployed on Google Cloud Platform (GCP) and at edge inside ballparks
Collaboration
- Participate in an agile environment.
- Participate in the full software development lifecycle (requirements gathering, designing, building, testing and maintenance)
- Collaborate with other engineers in code reviews, pair programming, and design sessions
Technology
- Drive innovation in products utilized by millions globally
- Collaborate with leading data scientists on areas such as data analysis, machine vision, and Natural Language Processing (NLP)
- Introduce and champion technologies you are passionate about
- Develop technology used by all 30 Major League teams, every national and regional broadcast, and across the MLB organization
- Change the way baseball is consumed
Qualifications & Skills
- An undergraduate degree computer science or related field
- An avid learner, independent with excellent problem-solving skills
- Willingness to dive into any part of the system to understand and deliver the best solution
- Eager to learn new technologies and tools
- Ability to collaborate with other engineers
- Experience with modern web technologies (React, TypeScript, NodeJS)
- Experience designing or consuming APIs that serve frontend applications (Java, Spring, SQL, NestJS)
- Familiarity with Terraform
- Exposure to Google Cloud Platform
- Familiar with messaging queues: ActiveMQ, Kafka
- Familiarity with SQL databases like Postgres and SQL concepts
- Knowledge of big data concepts and related languages/tools, such as BigQuery or Bigtable
Salary Range: $90,000 - $120,000 (Base Salary + Bonus)
As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.
Top MLB Perks & Benefits
- Competitive Benefits Package
- Company 401K Contribution
- Paid Time Off and Holidays
- Paid Parental Leave
- Access to Free Tickets to Baseball Games & MLB.TV
- Discounts at MLB Store | MLBShop.com
- Employee Assistance Programs (EAP)
- Onsite/Online Training & Development Programs
- Tuition Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Pet Insurance
Why MLB?
Major League Baseball (MLB) is the most historic of the major professional sports leagues in the United States and Canada. Employees love working at MLB because of the culture of growth, teamwork, and professionalism. Employees who are most successful at MLB take initiative, know how to identify problems and provide solutions, and always put the Team first. For those ready to step up to the plate and join the major leagues, MLB takes the same approach as teams do with their players: empowering our “workforce athletes” to be at their best by engineering experiences that put employees in the best position to succeed. Major League Baseball is looking for candidates who are passionate about growing America’s pastime to best serve its fans for decades to come.
California Residents: Please see our California Recruitment Privacy Policy for more details.
Colorado Residents: Colorado based applicants may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Applicants requiring a reasonable accommodation for any part of the application and hiring process, please email us at accommodations@mlb.com. Requests received for non-disability related issues, such as following up on an application, will not receive a response.
Are you ready to Step Up to the Plate? Apply below!
Ready to apply?
Apply to Major League Baseball
About Loop
Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100.
We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly.
Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy.
About You
As a full-stack engineer, you will work closely with founders and customers to understand and solve their logistics billing and payment pain points. You will help define the product and ship features that directly impact our customers. You will face and solve many complex technical challenges while you receive guidance and feedback from the team. You will shape the Loop DNA and define how we grow as a company.
Responsibilities
- Work cross-functionally with product, design, and sales to understand requirements and ship thoughtful solutions.
- Write high-quality code optimized for extensibility.
- Engage in code reviews to maintain a high bar of engineering excellence.
- Lead discussions and documentation to communicate and arrive at the best technical design.
- Work across different component boundaries, from frontend to backend, and even infrastructure layers.
- Adopt AI technologies such as Cursor/Codex/Claude to accelerate software development and champion adoption of AI tools across the organization for increased productivity.
- Promote better practices and share technical knowledge across the team.
- Help grow Loop through deliberate feedback on product, process, and culture.
Qualifications
- Willing to work in the SF or Chicago office three days a week
- Two years of software engineering experience.
- Experience with TypeScript and tools such as GraphQL, Relay, React, and Node.js.
- Experience working at early-stage companies where you shipped products end-to-end and wore many hats.
Under the Hood
- Infrastructure: AWS, CDK, Fargate ECS
- Backend: TypeScript, Node.js, Prisma, NestJS, PostgreSQL, Kafka, Redis, Elasticsearch, GraphQL
- Frontend: TypeScript, React, Relay, Ant Design, Vite, GraphQL
Compensation
- Base pay 150k+ per year
Benefits & Perks
- Premium Medical, Dental, and Vision Insurance plans
- Insurance premiums covered 100% for you
- Unlimited PTO
- Fireside chats with industry leading keynote speakers
- Generous professional development budget to feed your curiosity
- Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships
#LI-LOOP
Ready to apply?
Apply to Loop
Staff Software Engineer - Demand Services Team
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About Taskrabbit:
Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more.
At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!
We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future.
About the Role:
The Demand Services Team is architecting the future of Taskrabbit’s service engine. Our mission is to build a scalable, event-driven ecosystem that captures client needs with more precision than ever before. This domain focuses on decoupling Demand from Supply and dismantling legacy constraints, empowering the platform to handle our customers' complex needs.
As a Staff Engineer on this team, you won’t just be maintaining a domain system, you will be building the foundation that unlocks high-value revenue streams and enables Taskrabbit to expand into entirely new categories. You will play a pivotal role in creating a better everyday life for our users by making complex home services feel seamless.
Join us in creating a better everyday life for everyday people.
You will be:
- Designing & Driving the implementation of complex, high-volume backend solutions, focusing on core demand flow and event-driven architectures.
- Contribute to the team’s technical roadmap by proposing and executing platform improvements that dismantle legacy constraints and increase scalability.
- Mentor and collaborate with junior engineers, guiding them through complex design decisions, best practices, and effective goal decomposition.
- Establish and document best-in-class coding patterns and domain standards, ensuring they are accessible and actionable across the team.
- Maintain a culture of excellence through thorough code reviews and by troubleshooting complex performance, testing, and deployment issues in a high-traffic production environment.
- Partner effectively with Product, Design, and other domain teams to ensure cohesive feature delivery and a seamless user experience.
You should have:
- 8+ years of professional experience in software development, with a primary focus on building and scaling complex backend systems.
- Expert-level proficiency in JavaScript, TypeScript, and the NestJS framework, with a proven track record of delivering high-quality, production-grade features at scale.
- Extensive experience building and consuming API-driven applications (e.g., RESTful services) and a strong understanding of microservice architectures.
- A solid foundation in Domain-Driven Design (DDD) principles and the ability to apply them to solve complex business logic challenges.
- Hands-on experience with Kafka or similar event-streaming platforms to build decoupled, resilient systems.
- A strong commitment to code quality, comprehensive documentation, and a mindset geared toward operational excellence and system reliability.
- Experienced in Ruby on Rails with a proven ability to navigate and interpret complex legacy codebases.
- Experience operating in a distributed systems environment and a solid conceptual understanding of event-driven architecture (e.g., using message queues or streams).
- Experience building and supporting containerized applications deployed into Kubernetes infrastructures.
Compensation & Benefits:
At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.
You’ll love working here because:
- Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection.
- The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
- The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
- The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment.
Taskrabbit’s commitment to Diversity and Inclusion:
An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.
Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.
Ready to apply?
Apply to Taskrabbit
Senior Software Engineer(Node.JS)
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Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
We are a team from UC Berkeley, Cornell, SJTU, Cambridge, NUS, with broad industry experiences from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of passionate, driven, and talented engineers who focus on building and innovating cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We are seeking a talented Senior Software Engineer to join our growing engineering team.
Day in the Life
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Work closely with Product Managers, Engineering Managers, and peer engineers to deliver well-scoped product features
-
Collaborate with cross-functional teams to address client issues and optimize software performance
Requirements
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Bachelor's degree in Computer Science or related field
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5+ years of experience in application development
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Proficiency in NodeJS development frameworks (ExpressJS or NestJS)
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Experience building scalable systems with test-driven development and CI/CD practices
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Strong knowledge of SQL databases and Redis
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Experience with cloud platforms like AWS
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Solid understanding of programming principles and design patterns
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Commitment to staying current with technology trends and improving productivity
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Excellent communication and problem-solving skills
- Bilingual in English and Chinese preferred
The base salary range for this role is between $120,000-$180,000 USD. This range is not inclusive of our equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.
Know More About Workstream
- https://www.workstream.us/blog/funding-series-b
- https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
- https://techbuzz.news/buzzworthy-august-27-2021/
Additional Information
Workstream 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 policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.
Ready to apply?
Apply to Workstream
Shape the Future of AI
At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About Labelbox
We're the only company offering three integrated solutions for frontier AI development:
- Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
- Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
- Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
- High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
- Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
- Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
- Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
- Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
Role Overview
We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end—from user-facing experiences and APIs to backend services, data models, and infrastructure.
You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.
Your Impact
- Own End-to-End Product Features
Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure. - Enable Human-in-the-Loop AI Training
Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development. - Support RLHF and Preference Data Workflows
Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning. - Leverage LLMs in the Review Loop
Build systems that use LLMs to assist human reviewers—such as automated checks, critiques, ranking suggestions, or quality signals—while maintaining human oversight. - Advance AI Evaluation
Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video). - Create Intuitive, Reviewer-Focused Interfaces
Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows. - Architect Scalable Data & Service Layers
Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability. - Solve Ambiguous, Real-World Problems
Translate loosely defined operational and research needs into practical, scalable, end-to-end systems. - Ensure System Reliability
Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack. - Elevate the Team
Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.
What You Bring
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 2+ years of experience in a software or machine learning engineering role.
- A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.
- Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.
- Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).
- Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.
- Excellent communication and collaboration skills.
- High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).
- Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.A focus on writing clean, well-tested code and delivering your work on time.
Bonus Points
- Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.
- Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).
- Previous experience with search engines (e.g., ElasticSearch).
- Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.
Engineering at Labelbox
At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.
Our Technology Stack
Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:
- Frontend: React.js with Redux, TypeScript
- Backend: Node.js, TypeScript, Python, some Java & Kotlin
- APIs: GraphQL
- Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
- Databases: MySQL, Spanner, PostgreSQL
- Queueing / Streaming: Kafka, PubSub
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Life at Labelbox
- Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
- Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
- Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
- Growth: Career advancement opportunities directly tied to your impact
- Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
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Apply to Labelbox