Senior Machine Learning Engineer

Job Description

Title : Senior Machine Learning Engineer
Location: San Francisco, California (onsite)
Duration: 6+ Months
Visa; GC/Citizen

Main Duties and Responsibilities:

– Collaborate with founders to refine model-routing technology and its production.

– Innovate techniques, tools, and structures to enhance model performance, reduce latency, and improve efficiency.

– Establish foundational infrastructure and best practices, especially for model hosting and training.

– Lead the ML Engineering team and manage its members.

– Understand and optimize modern ML architectures, focusing on inference.

– Deploy deep learning models, especially LLMs, in a live environment.

– Familiarize with model evaluation literature and training reward models using human or AI feedback.

– Address issues holistically, acquiring necessary knowledge for resolution.

– Bring a minimum of 3 years of relevant software engineering or ML Engineering experience.

– Demonstrate self-motivation, prioritize critical problems, and ascertain when to use or build tools to optimize workflow.

– Have knowledge in distributed training, deepspeed, and ML Ops.

– Show enthusiasm for establishing an ML Engineering organization from its inception

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Sanjeev Kumar Singh, Tek Inspirations LLC
16:04 (25 minutes ago)
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From:
Sanjeev Kumar Singh,
Tek Inspirations LLC
[email protected]
Reply to: [email protected]

Job Description –

Title : Senior Machine Learning Engineer
Location: San Francisco, California (onsite)
Duration: 6+ Months

Main Duties and Responsibilities:

– Collaborate with founders to refine model-routing technology and its production.

– Innovate techniques, tools, and structures to enhance model performance, reduce latency, and improve efficiency.

– Establish foundational infrastructure and best practices, especially for model hosting and training.

– Lead the ML Engineering team and manage its members.

– Understand and optimize modern ML architectures, focusing on inference.

– Deploy deep learning models, especially LLMs, in a live environment.

– Familiarize with model evaluation literature and training reward models using human or AI feedback.

– Address issues holistically, acquiring necessary knowledge for resolution.

– Bring a minimum of 3 years of relevant software engineering or ML Engineering experience.

– Demonstrate self-motivation, prioritize critical problems, and ascertain when to use or build tools to optimize workflow.

– Have knowledge in distributed training, deepspeed, and ML Ops.

– Show enthusiasm for establishing an ML Engineering organization from its inception