Two Sigma · 5 hours ago
Quantitative Software Engineer: Techniques Engineering
New York, United States
Full-time
Hybrid
Mid, Senior Level
$165K/yr - $300K/yr
1+ years expTwo Sigma is a financial sciences company that focuses on data analysis and innovative solutions in investment management. They are seeking an experienced Machine Learning/AI Engineer to bridge research with production deployment, collaborating with teams to create scalable and efficient ML systems.
Big DataMachine LearningSoftware
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
Qualification
Required
BS in Computer Science, Mathematics, Physics, or related technical subject area
Minimum 1 year of experience required
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
Preferred
7-15 years of experience preferred
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
Fully paid medical and dental insurance premiums for employees and dependents
Competitive 401k match
Employer-paid life & disability insurance
Onsite gyms with laundry service
Wellness activities
Casual dress
Snacks
Game rooms
Tuition reimbursement
Conference and training sponsorship
Generous vacation and unlimited sick days
Competitive paid caregiver leaves
Flexible in-office days with budget for home office setup
Company
Two Sigma
Two Sigma's technology-driven team streamlines the use of machine learning, distributed computing and research to guide its endeavors.
1001-5000 employees
H1B Sponsorship
Two Sigma has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (127)
2024 (94)
2023 (97)
2022 (122)
2021 (85)
2020 (67)
Funding
Current Stage
Late StageLeadership Team
B
Brad Olson
Chief Financial Officer
Drew Conway
Senior Vice President
Recent News
South China Morning Post
2025-11-12
2025-09-17
Company data provided by crunchbase