Staff ML Engineer - Production-Ready, Remote

Sarsfield Group; United States; Remote; USD 145,000 - 220,000; Full time

Benefits offered by this job

Health and Dental

Life insurance

401(k) matching

Equity

Job summary

Sarsfield Group is seeking a Member of Technical Staff, Machine Learning to build core ML components and deploy production-grade models. You will work on real systems from day one, shipping, debugging, and iterating under production constraints.

The role emphasizes scaling models, improving data pipelines, and collaborating with engineers, product, and research teams to deliver reliable ML-powered features in a remote US/Canada setup.

Qualifications

• Strong foundations in machine learning and modern neural architectures.
• Some hands-on experience training, fine-tuning, or deploying ML models.
• Comfortable writing production-quality code and learning new tools quickly.
• Curious, coachable, and eager to learn from real systems in production.

Responsibilities

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models as part of larger production systems.
• Implement evaluation and testing to understand model behavior.
• Help build and maintain data pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship improvements iteratively and learn from real user feedback.
• Work closely with senior ML engineers and product teams.
• Work under real production constraints: latency, cost, reliability, and safety

Skills

Python

ML model development

PyTorch

JAX

Tools

PyTorch

JAX

Job description

Sarsfield Group is seeking a Member of Technical Staff, Machine Learning to build core ML components and deploy production-grade models. You will work on real systems from day one, shipping, debugging, and iterating under production constraints.

The role emphasizes scaling models, improving data pipelines, and collaborating with engineers, product, and research teams to deliver reliable ML-powered features in a remote US/Canada setup.