Senior Machine Learning Engineer

DGC Search; San Francisco (CA); Hybrid; USD 200,000 - 300,000; Full time

Job summary

A leading high-frequency trading hedge fund is seeking an Applied Research Machine Learning Engineer with strong mathematical foundations and expertise in machine learning frameworks. This full-time role is based in San Francisco, allowing for 3 days in-office and 2 days remote, with total compensation projected between $250K and $350K. Visa sponsorship is offered.

Qualifications

• Minimum 4+ years of experience required.
• Strong mathematical background and proficiency in ML frameworks like TensorFlow and PyTorch.
• Excitement for keeping up-to-date with machine learning advancements.

Responsibilities

• Build and maintain training and inference infrastructure.
• Move projects from concept to production.
• Create and maintain a robust research codebase.

Skills

Python

Machine Learning

Mathematical Foundations

Statistical Modeling

Optimization Theory

Linear Algebra

Regularization Techniques

Job description

This range is provided by DGC Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $300,000.00/yr

Direct message the job poster from DGC Search

My client, a prominent high-frequency trading hedge fund seeks applied research machine learning engineers with strong mathematical foundations, expertise with LLM, machine learning frameworks, algorithms, and statistical modeling techniques.

Offices in New York, Boston, Chicago, Miami, Los Angeles, San Francisco.

3 days office based / 2 days remote

$250K to $350K approximate total compensation

Visa sponsorship offered

Qualified applicants, please also send an updated resume to: [e-mail]

Required skills and experience:

• Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production
• You will have demonstrated proficiency in Python and key machine learning libraries such as TensorFlow and PyTorch.
• A strong mathematical background; Good candidates will be excited about things like optimization theory, regularization techniques, linear algebra, and the like
• Minimum 4+ years of experience
• A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package
• A proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Information Services

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