Design and implement scalable, production-quality systems that incorporate machine learning and Generative AI components
Take end-to-end ownership of technical projects, from system design through implementation and operational excellence
Collaborate with cross-functional partners to translate ambiguous problems into well-structured technical solutions
Maintain a high bar for code quality, testing, clarity, and reliability
Contribute to architectural decisions, ensuring systems are maintainable, extensible, and resilient
Apply sound engineering judgment when integrating ML models into larger distributed systems

Requirements

7+ years of professional software engineering experience
Strong proficiency in Python (or similar modern language)
Demonstrated experience designing and building large scale production systems
Strong understanding of system design principles, APIs, distributed systems concepts
Hands-on experience integrating machine learning models into production applications or services
Experience with cloud platforms, CI/CD, DevOps, or MLOps practices
Strong problem-solving ability
Proven ability to own projects independently and drive them to completion
Strong communication skills and behavioral maturity.

Benefits

Enjoy generous time-away and health benefits from day one
Access on-demand professional development resources that allow you to hone existing skills and learn new ones
Receive 2-for-1 matching gifts for your charitable contributions
Opportunity to secure annual grants for the organizations you love
Company-funded retirement contribution of 15% of eligible earnings,
Individual annual performance bonus, and annual profitability bonus.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonmachine learningGenerative AIsystem designAPIsdistributed systemscloud platformsCI/CDDevOpsMLOps

Soft Skills

problem-solvingproject ownershipcommunicationcollaborationbehavioral maturity