Machine Learning Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 20%

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DevFixr

2 - 10 employees

🎯 Recruiter

🤝 B2B

💼 Consulting

Recruitment • B2B • Consulting

DevFixr is a UK-focused offshore developer staffing and engineering services company that supplies vetted offshore developers and dedicated teams to integrate with UK businesses. They offer staff augmentation, dedicated teams and development services across frontend, backend, mobile, AI & machine learning, and Cloud & DevOps, while handling payroll, compliance, and administrative setup so developers can start in around 10 days. DevFixr targets product companies, digital agencies and SMEs, promising faster hiring, flexible engagement models, and typical cost savings of up to 50% versus hiring directly in the UK.

📋 Description

• Design realistic and challenging ML engineering coding tasks based on real-world codebases • Build working reference solutions for each task • Create automated tests to verify that solutions are correct and robust • Ensure tasks are clearly defined and cannot be solved through shortcuts • Improve tasks based on reviewer feedback • Complete a short screening call and technical assessment before onboarding

🎯 Requirements

• 4+ years of hands-on ML Engineering experience in Python • Candidates with 3+ years of relevant Python/ML experience may also be considered when their education and practical experience demonstrate strong technical capability • Experience training or fine-tuning models using PyTorch, JAX, TensorFlow, or similar frameworks • Strong Python coding, debugging, and testing skills • Experience working with large or multi-file codebases • Strong written English • Ability to write clear technical specifications • Nice to have: GPU/ML systems experience with CUDA, Triton, FSDP, DeepSpeed, kernel optimization, multi-GPU, or distributed training • Nice to have: Experience with AI training/evaluation, benchmarks, model evaluations, or RL environments • Nice to have: Kaggle, competitive programming, or open-source ML contributions

🏖️ Benefits

• Remote position • Fully remote work arrangement • Around 20 hours/week with flexible scheduling

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