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Software Engineering Manager, Machine Learning

Two Sigma
London
1 month ago
Applications closed

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Software Engineering Manager, Learning Engineering

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Position Summary

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, 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.

The Learning Engineering team’s mission is to create cutting-edge tools that empower the entire spectrum of Machine Learning tasks for our investment management business. Our work ranges from feature engineering to learning and scoring across a wide array of techniques. We are dedicated to advancing the field of Machine Learning through both strategic initiatives and tactical projects. These projects include developing comprehensive learning platforms and collaborating one-on-one with researchers to provide high-quality, actionable insights. We pride ourselves on delivering solutions that are not only technically robust but also highly impactful for our users.

We are looking for a Software Engineering Manager to lead our Learning Engineering efforts. This team is currently focused on developing tools for scoring, profiling, experiment management, and interpretability—key areas that are crucial for advancing the effectiveness and transparency of Machine Learning models. Your goal will be to deliver world-class machine learning software that meets the highest standards of quality and performance. Additionally, you will be responsible for fostering a positive and productive team environment, ensuring that your team members are efficient and happy today, while also providing them with opportunities to continue learning and growing their careers.

You Will Take On The Following Responsibilities

  • Guide and manage a team of 6-7 talented software engineering individual contributors
  • Provide mentorship and support to junior engineers, fostering their professional development.
  • Engage actively with users, product managers, and senior management to align on key technical directions.
  • Create and implement technical designs, writing high-quality code to bring them to life.
  • Review and provide constructive feedback on designs and code produced by colleagues.

You Should Possess The Following Qualifications

  • A Bachelors with Honours in a relevant discipline is required.
  • Proven experience in engineering Machine Learning systems for technically sophisticated users at scale.Mastery of Python and working knowledge of C++ and Java.
  • Knowledge of leading open-source machine learning systems and tools.
  • Demonstrated experience in leading technical teams.
  • Strong collaborative nature, both within and across teams.

You Will Enjoy The Following 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

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.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology

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