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Senior Machine Learning Engineer, Artificial Intelligence
TTECSenior Machine Learning Engineer developing core Machine Learning systems powering AI products. Mentoring fellow engineers and collaborating with cross-functional teams while tackling production ML challenges.
Posted 7/10/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $170,000 - $190,000 per yearWebsite
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product.
- Own work end-to-end: data preparation, training, evaluation, inference, and iteration.
- Turn research ideas into working systems that run reliably in production.
- Debug model failures and system issues using real production signals.
- Iterate quickly: ship, measure outcomes, refine, and repeat.
- Collaborate closely with research, product, and engineering to deliver real user impact.
- Mentor and review work from other Machine Learning (ML) engineers through example and technical judgment.
- Work under real production constraints: latency, cost, reliability, and safety.
Requirements
What you’ll need- Experience building and shipping Machine Learning (ML) systems used by real users.
- Artificial Intelligence (AI) experience required.
- Experience understanding how modern Machine Learning (ML) models behave and misbehave in production.
- Experience writing strong, production-quality code and think in systems, not scripts.
- Experience taking ownership, work independently, and push work across the finish line.
- You learn fast, communicate clearly, and improve through iteration.
- Tech Stack: GPU-based training and inference systems, JAX, Python, and PyTorch.
Benefits
Comp & perks- medical insurance
- Dental
- Vision
- Savings Plan Options
- PTO
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 LearningArtificial IntelligenceProduction-Quality CodeData PreparationModel EvaluationModel DebuggingSystem IterationLatency ManagementCost ManagementReliability Engineering
Soft Skills
Clear CommunicationFast LearnerIndependent WorkMentoring