Machine Learning Engineer

Wintermeyer Ventures; Los Angeles (CA); On-site; USD 175,000 - 250,000; Full time

Benefits offered by this job

Visa sponsorship available

Job summary

Wintermeyer Ventures in Los Angeles is seeking a machine learning engineer to design, train, and productionize AI models for hardware development projects. You will own data workflows from data curation through training and collaborate with cross-functional teams to translate product needs into ML solutions.

You will work with state-of-the-art language models and embeddings, write clean Python code, and help move models from prototyping to production while staying mindful of performance and

Qualifications

• 4+ years of ML engineering or equivalent research experience.
• Master's or doctoral degree in ML/CS with substantial ML depth.
• Strong Python skills and PyTorch or comparable DL framework.
• Experience developing DL models and embeddings from the ground up, incl. transformers.

Responsibilities

• Design, train, and evaluate custom ML models and embeddings.
• Own data workflows from data curation through training.
• Build and improve training/evaluation processes with metrics and reproducibility.
• Deploy models, monitor performance, iterate improvements.

Skills

Python

PyTorch

Transformer models

Production ML

Education

Master's/PhD in ML/CS

Tools

CAD

Geometry

Robotics

Job description

About the Role

Join a small, growing team building AI-powered tools for hardware development. You will develop custom machine learning models and take them from research and prototyping through production, helping translate product needs into useful features.

What You'll Do

• Design, train, and evaluate custom machine learning models and embeddings.
• Own data workflows from curation and preparation through model training.
• Build and improve training and evaluation processes, including experiment tracking, metrics, and reproducibility.
• Deploy models, monitor their real-world performance, and iterate on them.
• Partner with cross-functional teammates to turn product needs into machine learning solutions.
• Write and review clean Python code, and contribute to testing and debugging.
• Follow advances in language models, embeddings, and representation learning, and apply relevant ideas.

What We're Looking For

• At least 4 years of machine learning engineering experience, or equivalent research experience; the role is suited to candidates with roughly 4 to 10 or more years of experience.
• A'master's or doctoral degree in machine learning, computer science, or a related field with substantial machine learning depth.
• Strong Python skills and proficiency with PyTorch or a comparable deep learning framework.
• Experience developing deep learning models and embeddings from the ground up, including transformer-based architectures, rather than relying only on adapting existing models or integrating third-party APIs.
• Hands-on experience with large language models, graph neural networks, or graph transformers.
• Experience taking machine learning models into production, with a focus on model development, product machine learning, or research.
• Cloud or ML platform experience, backend development, and familiarity with CAD, geometry, robotics, or other physical-domain problems are helpful.
• Clear communication, strong problem-solving skills, and the ability to work effectively in a fast-paced team.

Compensation & Benefits

Base salary: $175,000 to $250,000 annually, plus equity. Visa sponsorship is available.

Location

On-site in Los Angeles, California.