Machine Learning Engineer (PyTorch)

Interested in Machine Learning Engineer (PyTorch) jobs in the United States? You're in the right place.

AI and machine learning hiring in the United States accelerated through 2025 and remains a priority in 2026, with Machine Learning Engineer (PyTorch) roles concentrated in San Francisco and the leading innovation hubs. Frontier AI labs, applied AI teams, and enterprises adding intelligent features are the main employers.

To move forward, simply upload your CV to wherewework, and we'll help connect you with real Machine Learning Engineer (PyTorch) openings from real companies, including the position you're viewing right now.

Here's how it works:
1. Upload your CV once. Click "Apply" in this window. It only takes a moment, and allows us to match your profile with relevant Machine Learning Engineer (PyTorch) opportunities.
2. We match you with real roles that fit your experience. When companies open Machine Learning Engineer (PyTorch) positions aligned with your skills, we'll identify the best opportunities for you.
3. You stay fully in control. Before your CV is ever shared, we'll notify you with the exact job title and company name, and ask for your confirmation.
4. Only confirmed applications are sent to employers. Once you approve, the employer receives your application and may contact you directly.

For Machine Learning Engineer (PyTorch) roles in San Francisco, salaries typically range from $12,900 to $18,400 gross per month, with an average gross salary of around $15,300. Pay rises with hands on experience shipping models to production, familiarity with modern ML and LLM tooling, and a track record on systems that operate at scale.

While you're here, explore wherewework to discover what it's really like to work at top technology and software companies in the United States, through interview experiences, employee reviews, and community feedback.