Machine Learning Engineer

Alexander Chapman; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Competitive salary and equity package

Opportunity to shape innovative products

Access to cutting-edge technologies

Job summary

A leading tech recruitment firm in San Francisco is seeking an experienced Machine Learning Engineer to design and develop ML models for CAE applications. The role requires strong expertise in Python and PyTorch, with responsibilities including building data pipelines and collaborating with engineers. The position offers a competitive salary and opportunities for innovation and publication in the field.

Qualifications

• 5+ years of professional experience in applied machine learning.
• Strong expertise in PyTorch for deep learning.
• Advanced proficiency with Python for ML model implementation.

Responsibilities

• Design and develop foundational ML models for CAE applications.
• Build data pipelines for training, evaluation, and deployment.
• Collaborate with engineers to integrate ML capabilities.

Skills

Applied machine learning

PyTorch

Python

Large language models

MLOps practices

Mathematics

Communication

Education

PhD or MS in Computer Science or related field

Tools

CAE software or engineering simulation tools

High-performance computing for ML

Job description

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Base pay range

$200.00/yr - $250.00/yr

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Recruiter @Alexander Chapman | Connecting Top Talent with Leading Companies in Tech & Finance

What You'll Do

• Design and develop foundational ML models for CAE applications
• Build data pipelines for training, evaluation, and deployment of ML systems
• Collaborate with full-stack engineers to integrate ML capabilities into our platform
• Help establish ML best practices, experiment tracking, and model governance
• Participate in product strategy discussions and help define our technical ML roadmap
• Contribute to research publications and IP development

Required Qualifications

• 5+ years of professional experience in applied machine learning
• Strong expertise in PyTorch for deep learning research and development
• Advanced proficiency with Python for ML model implementation and data processing
• Experience with large language models, multimodal models, and retrieval-augmented generation
• Proven track record of deploying ML models to production environments
• Experience with ML infrastructure and MLOps practices
• Strong background in mathematics, particularly linear algebra, calculus, and statistics
• Demonstrated ability to conduct independent research and solve novel problems
• Strong communication skills and ability to explain complex ML concepts clearly

Preferred Qualifications

• PhD or MS in Computer Science, Machine Learning, or related technical field
• Familiarity with reinforcement learning and optimization techniques
• Experience with geometric deep learning or graph neural networks
• Familiarity with CAE software or engineering simulation tools
• Background in physics-informed neural networks or scientific ML
• Experience with high-performance computing for ML
• Publication record at top ML conferences (NeurIPS, ICML, ICLR, etc.)

What We Offer

• Competitive salary and equity package
• Opportunity to shape the direction of an innovative product from its inception
• Opportunity to work with cutting-edge AI and engineering technologies
• Opportunity to publish and present at industry conferences
• Direct access to customers and users, seeing your impact firsthand
• Flat organizational structure with transparent decision-making

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Software Development