Senior Machine Learning Engineer

Python PyTorch Tensor Flow AWS GCP

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• Role: Senior Machine Learning Engineer
• Location: Remote
• Employment Type: Full-time

Compensation: Competitive salary commensurate with experience, qualifications, and location.
Indicative range: $150,000 – $250,000 (USD equivalent), plus benefits.

We are hiring a Senior Machine Learning Engineer to lead the design, training, and deployment of ML systems in production. The role combines deep ML expertise with strong software engineering — owning models from research through scaled inference.

• Design, train, and deploy machine learning models at production scale
• Lead architecture decisions for training, evaluation, and inference pipelines
• Build evaluation frameworks and monitoring for model quality and drift
• Partner with data engineering on training data pipelines and feature stores
• Mentor junior ML engineers and contribute to ML practice
• Stay current on research and bring proven techniques into production

• 5+ years in machine learning engineering with production ownership
• Strong Python skills and deep experience with PyTorch or Tensor Flow
• Experience training and serving models at scale (deep learning, LLMs, or classical ML)
• Hands-on with cloud ML infrastructure (AWS Sagemaker, GCP Vertex, Databricks, or similar)
• Strong software engineering fundamentals (testing, code review, system design)
• Track record of shipping ML systems that delivered measurable business value

• Curiosity about how models behave and why they fail
• Rigor in following guidelines and flagging ambiguity early
• Strong written communication, including ability to document findings clearly
• Comfort working asynchronously across time zones

• Fully remote, flexible work hours
• Performance-based bonus structure
• Annual learning & development stipend
• Health and wellness benefits (varies by location)
• Opportunity to work on high-scale, real-world impact projects

This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.