Machine Learning Research Engineer

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Job Description - Machine Learning Research Engineer

Our client are a VC-backed Series A startup who are revolutionizing the eCommerce experience through the power of AI and Machine Learning. They are hiring a Machine Learning Research Engineer to join the team in San Francisco and collaborate with the ML and Data Engineering team to enhance their innovative AI product.

**Please note** Our client are unable to sponsor new H1B visa applications at this time. 

Responsibilities:

  • As the Machine Learning Research Engineer, you will leverage cutting-edge research to improve their AI product.

  • Yu will be responsible to develop and propose innovative experiment ideas.

  • Lead the collection and generation of datasets.

  • Optimize models and inference processes.

  • Work with ML and Data Engineers on distributed training scripts.

Skillset:

  • Minimum of three years of experience working with production AI systems.

  • At least one publication as the first author.

  • Strong understanding of LLMs, capable of building GPT-1 in NumPy and manually performing backpropagation for transformer blocks.

  • Deep knowledge of Machine Learning fundamentals.

  • Experience with distributed training and production inference.

  • Proficiency in PyTorch.

  • Experience building agentic systems with task-specific models.

  • Ability to iterate AI products based on customer feedback.

Benefits:

  • Salary: $200k – $250k DOE

  • Health, dental and vision insurance.

  • Remote working options. 

Interested? Apply now in the link below or email your resume directly to for consideration. 

45010

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