Quantitative Software Engineer: Techniques Engineering

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

Quantitative Software Engineer: Techniques Engineering

Join to apply for the Quantitative Software Engineer: Techniques Engineering role at Two Sigma

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.

Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.

We’re seeking an experienced Machine Learning/AI Engineer who is passionate about bridging innovative research with production-level deployment. In this role, you will work closely with researchers, data teams, and platform engineers to transform innovative ideas into scalable, efficient, and robust production systems.

Responsibilities:

• Collaborate with ML researchers to explore model architectures, training methodologies, and experimental objectives
• Translate prototypes into reusable, maintainable, and production-ready code, ensuring research insights scale seamlessly into operation
• Design, implement, and optimize fully automated training pipelines and evaluation workflows
• Optimize models for production—improving efficiency through techniques like quantization, distillation, and intelligent batching
• Continuously assess and fine-tune both research and production workflows, integrating user feedback and automated monitoring systems
• Identify and implement opportunities for process improvements to reduce bottlenecks and improve overall modeler efficiency
• Stay ahead of industry trends and new technologies, incorporating sophisticated methodologies into production systems
• Provide technical guidance and mentorship to peers, ensuring the team uses new tools and techniques that drive innovation

Qualifications:

• BS in Computer Science, Mathematics, Physics, or related technical subject area
• Minimum 1 year of experience required; 7-15 years of experience preferred
• Strong software engineering skills using Python, version control, testing frameworks, and CI/CD practices
• Ability to work across functions and influence technical strategy while balancing research innovation with operational excellence
• A phenomenal teammate that can work efficiently with modeling and engineering partners
• Experience with leading ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and familiarity with model serving/deployment tools, distributed systems and data infrastructures
• Experience with the following are preferred but not required: working with LLMs, multimodal models, or time-series forecasting, ML Ops platforms, background in research or a proven understanding of ML theory

Benefits:

• Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
• Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
• Learning: Tuition reimbursement, conference and training sponsorship
• Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
• Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.