Software Engineer (ML) | $120/hr Remote | Mercor
Posted 1 day ago by Crossing Hurdles
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Machine Learning Engineer role at Mercor, facilitated by Crossing Hurdles, involves developing and implementing machine learning tasks within a Docker environment. The position is remote, offering flexible hours and requires strong Python skills and experience in applied machine learning. The contract duration is 1-2 months with potential for extension. Training support will be provided for the role's responsibilities.
Key Responsibilities:
- Compile external ML competitions into realistic, challenging tasks involving model training, dataset preparation, and experimentation
- Draft detailed, executable natural language plans for completing machine learning engineering tasks
- Implement these plans in Python code within a provided Docker environment
- Validate code outputs against original plans and document any discrepancies
Key Skills:
- Strong years of experience in applied machine learning or a PhD in machine learning or a closely related field
- Strong Python engineering skills, particularly in model training and data handling workflows
- Familiarity with Docker-based development environments
- Detail-oriented mindset with ability to follow technical specifications precisely
- Experience in ML reproducibility, benchmarking, or experimental validation (preferred)
- Ability to work independently under compliance-aligned protocols
- Access to a desktop or laptop computer (Chromebooks are not supported)
Salary (Rate): £120.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with world’s leading AI research labs to build and train cutting-edge AI models.
Organization: Mercor
Position: Machine Learning Engineer
Referral Partner: Crossing Hurdles
Type: Hourly Contract
Compensation: $80-120/hour
Location: Remote
Duration: 1-2 months (with potential extension)
Commitment: 10-40 hrs/week, flexible and asynchronous
Role Responsibilities (Training support will be provided)
- Compile external ML competitions into realistic, challenging tasks involving model training, dataset preparation, and experimentation
- Draft detailed, executable natural language plans for completing machine learning engineering tasks
- Implement these plans in Python code within a provided Docker environment
- Validate code outputs against original plans and document any discrepancies
Requirements
- Strong years of experience in applied machine learning or a PhD in machine learning or a closely related field
- Strong Python engineering skills, particularly in model training and data handling workflows
- Familiarity with Docker-based development environments
- Detail-oriented mindset with ability to follow technical specifications precisely
- Experience in ML reproducibility, benchmarking, or experimental validation (preferred)
- Ability to work independently under compliance-aligned protocols
- Access to a desktop or laptop computer (Chromebooks are not supported)
Application Process (15 min)
- Upload resume
- Participate in AI interview (10 min)
- Submit form