ML Engineer — Productionized Research & Pipelines

Two Sigma; New York (NY); Hybrid; USD 165,000 - 300,000; Full time

Benefits offered by this job

Onsite gyms with laundry service

Tuition reimbursement

Generous vacation and unlimited sick days

Job summary

A financial sciences company is seeking a Quantitative Software Engineer to join their Techniques Engineering team. You will bridge the gap between innovative research and production-level deployment, focusing on AI systems. The role requires strong Python skills, experience with ML frameworks, and the ability to collaborate effectively. The company offers generous benefits, including hybrid work options and educational reimbursement.

Qualifications

• Minimum 1 year of experience required; 7-15 years preferred.
• Ability to work across functions while balancing research and operational excellence.
• Phenomenal teammate that can efficiently work with modeling and engineering partners.

Responsibilities

• Collaborate with ML researchers on model architectures and methodologies.
• Translate prototypes into reusable production-ready code.
• Design fully automated training pipelines and evaluation workflows.
• Optimize models for production and improve efficiency.

Skills

Software engineering skills using Python

Experience with ML frameworks (e.g., PyTorch, TensorFlow)

Capability to influence technical strategy

Teamwork skills

Education

BS in Computer Science, Mathematics, Physics, or related field

Tools

Version control

Testing frameworks

CI/CD practices

Job description

A financial sciences company is seeking a Quantitative Software Engineer to join their Techniques Engineering team. You will bridge the gap between innovative research and production-level deployment, focusing on AI systems. The role requires strong Python skills, experience with ML frameworks, and the ability to collaborate effectively. The company offers generous benefits, including hybrid work options and educational reimbursement.