Machine Learning Engineer

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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

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