Machine Learning Engineer

Gensyn is a company focused on developing machine intelligence that complements human intelligence through open and neutral protocols. The role involves hands-on ML engineering to build, ship, and enhance ML products, requiring a blend of machine learning expertise and product instinct.

Responsibilities:

• Own ML projects from early prototype through launch and iteration
• Build and improve applied ML and reinforcement learning workflows that deliver measurable product value
• Design and run fast, thoughtful experiments to validate ideas and guide product and technical decisions
• Explore new models, tools, and techniques that can unlock better product experiences
• Write robust, maintainable code and help raise the engineering quality of ML development
• Collaborate closely across product, engineering, and research to ship practical solutions in ambiguous, fast-changing environments

Requirements:

• Strong background in applied machine learning and/or reinforcement learning, with hands-on experience training, evaluating, and improving models
• Strong product instinct and judgment around where ML can create real user and business value
• Proven ability to take ML work from prototype to production through rapid experimentation, iteration, and deployment
• Comfortable working in an experimental environment with high autonomy and unpredictable timelines
• Strong software engineering fundamentals and the ability to write clean, reliable, production-quality code
• Experience shipping ML-powered product features in a startup or similarly fast-moving environment
• Ability to balance speed and quality, making pragmatic technical decisions in ambiguous environments
• Familiarity with modern ML tooling and workflows for experimentation, model improvement, and productionization