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Senior Software Engineer – ML Training Infrastructure
Stack AVSenior Software Engineer developing ML training infrastructure for Stack AV's autonomous technology. Ensuring scalable, reliable solutions and enhancing developer experience for ML engineers.
About the role
Key responsibilities & impact- Provide a reliable, scalable, and easy to use training framework for modeling needs of Stack AV.
- Build tools for testing, validation, and understanding models and the data used to train them.
- Optimize and deploy models.
Requirements
What you’ll need- Experience with both ML Platforms and building ML-based applications.
- Experience building scalable, reliable infra at a fast-paced environment working with MLEs on several different modeling teams.
- A deep understanding of design tradeoffs and ability to articulate those tradeoffs and work with others on getting alignment.
- Experience with building ML models or ML infra in the domains of autonomous vehicles, perception, and decision making (desirable but not required).
- Experience with model training, model optimization, or large data processing pipelines.
- Built an end to end ML model pipeline including components such as logs processing, feature extraction, dataset storage, model configuration management, model training, experiment frameworks, and serving deployment.
- Shipped ML products (NLP, computer vision, recommender systems, etc.) at scale to make business impact.
- Knows how to build appropriate abstractions and tooling to ensure MLEs are able to rapidly iterate on models.
- Prior AV experience
Benefits
Comp & perks- Equal opportunity workplace
- Commitment to building a culture of inclusion, entrepreneurship, and innovation
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningmodel optimizationdata processing pipelinesfeature extractionmodel trainingexperiment frameworksmodel configuration managementmodel serving deploymentNLPcomputer vision
Soft Skills
communicationcollaborationarticulation of design tradeoffsalignment with teamsrapid iteration