Alexander Chapman
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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
Direct message the job poster from Alexander Chapman
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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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
Direct message the job poster from Alexander Chapman
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
#J-18808-Ljbffr