Alexander Chapman is hiring: Machine Learning Engineer in San Francisco

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

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