Machine Learning Engineer
Gensyn
Job Overview
Location
Remote
Employment Type
Full-time
Work Arrangement
Remote
Sector
Information Technology & Software
Experience Level
Mid-level (3-5 years)
About the Company
Gensyn is at the forefront of the machine intelligence revolution, developing protocols that enable AI to flourish alongside human intelligence. Our mission is to create open, permissionless, and neutral networks for the growth of machine intelligence, starting with compute hardware.
We believe in a future where AI and human intelligence collaborate seamlessly. Our work is built on the principles of autonomy, independence, rejection of mediocrity, and high performance. We foster a culture where individuals are empowered to take ownership, drive innovation, and embrace continuous learning.
Job Description
Gensyn is seeking a hands-on Machine Learning Engineer to build, ship, and refine ML products rapidly. This role is at the intersection of applied machine learning, experimentation, and product development, transforming promising ideas into valuable real-world systems.
We are looking for someone with strong ML depth, excellent product intuition, a startup urgency, and the ability to operate with high autonomy. You will own ML projects from prototype through launch and iteration, contributing to the engineering quality of our ML development.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key 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
Qualifications
- 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 (Preferred)
- Ability to balance speed and quality, making pragmatic technical decisions in ambiguous environments (Preferred)
- Familiarity with modern ML tooling and workflows for experimentation, model improvement, and productionization (Preferred)
- Experience working in a startup/scaleup environment (Nice to have)
- Previous experience working with smart contracts (Nice to have)
Benefits & Perks
- Competitive salary + share of equity and token pool
- Fully remote work (West Coast PT to Central Europe CET time zones)
- Visa sponsorship available for relocation to the US
- 3-4x all expenses paid company retreats globally per year
- All necessary equipment provided
- Paid sick leave and flexible vacation
- Company-sponsored health, vision, and dental insurance (including spouse/dependents in the US)
How to Apply
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<p>This is a hands-on Machine Learning Engineering role focused on building, deploying, and refining ML products at speed. You will operate at the nexus of applied ML, experimentation, and product development, transforming innovative ideas into functional, real-world systems. We are looking for an individual who combines deep ML expertise with strong product intuition, a startup mindset, and the ability to work with significant autonomy.</p>
Posted Date
March 23, 2026
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