Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $150,000 – $250,000 (USD equivalent), plus benefits. Role Overview 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. Key Responsibilities
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
Required Skills and Qualifications
5+ years in machine learning engineering with production ownership
Strong Python skills and deep experience with PyTorch or TensorFlow
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
What You'll Bring
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
What We Offer
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
Equal Opportunity Statement 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.