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About the role
Key responsibilities & impact- Build, optimize, and scale machine learning models
- Contribute to innovative AI-driven solutions
- Assist users in understanding ML predictions
- Collaborate with cross-functional teams to ensure successful project outcomes
Requirements
What you’ll need- Ability to manipulate (i.e. optimize) model training and model serving frameworks
- Engineer features from raw data, including unstructured formats, to enhance model effectiveness
- Experiment with algorithms to select the most effective ones for project objectives
- Use advanced metrics to validate model performance and improve reliability
- Algorithmic and System level optimizations for inference
- Building reliable production model serving platform supporting a variety of accelerators
- Lead technical design discussions and training to other engineers
- Troubleshoot complex production issues involving ML
Benefits
Comp & perks- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
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 training frameworksmodel serving frameworksfeature engineeringalgorithm experimentationadvanced metricsalgorithmic optimizationsystem level optimizationproduction model servinginference optimization
Soft Skills
collaborationtechnical design leadershiptrainingtroubleshooting