At a Glance
- Tasks: Lead a team to develop cutting-edge machine learning tools for investment management.
- Company: Two Sigma is a pioneering financial sciences company focused on innovative solutions.
- Benefits: Enjoy fully paid medical insurance, flexible work options, and generous vacation days.
- Why this job: Join a collaborative environment that values professional growth and impactful projects.
- Qualifications: Bachelor's degree required; experience in machine learning systems and team leadership essential.
- Other info: This role offers a hybrid work policy and a vibrant workplace culture.
The predicted salary is between 48000 - 84000 £ per year.
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.
Software Engineering Manager, Learning Engineering (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Manager, Learning Engineering (Basé à London)
✨Tip Number 1
Familiarise yourself with the latest trends in Machine Learning and software engineering. Being well-versed in current technologies and methodologies will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the industry, especially those who work at Two Sigma or similar companies. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing technical teams. Be ready to share specific examples of how you've mentored junior engineers and fostered a collaborative environment.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical discussions. Brush up on your coding skills in Python, C++, and Java, as well as your understanding of open-source machine learning tools, to impress during technical interviews.
We think you need these skills to ace Software Engineering Manager, Learning Engineering (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering and machine learning. Emphasise your leadership skills and any experience managing teams, as this role requires guiding a team of engineers.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and your vision for leading a team. Mention specific projects or experiences that demonstrate your ability to create impactful solutions and foster team development.
Showcase Technical Skills: Clearly outline your proficiency in Python, C++, and Java in your application. Provide examples of how you've used these languages in previous roles, especially in developing machine learning systems.
Highlight Collaborative Experience: Since the role involves engaging with users and product managers, include examples of past collaborations. Describe how you’ve worked with cross-functional teams to align on technical directions and deliver successful projects.
How to prepare for a job interview at Golden Bees
✨Showcase Your Technical Expertise
As a Software Engineering Manager, you'll need to demonstrate your mastery of Python and familiarity with C++ and Java. Be prepared to discuss specific projects where you've engineered machine learning systems, highlighting the challenges you faced and how you overcame them.
✨Emphasise Leadership Skills
Two Sigma is looking for someone who can guide and manage a team effectively. Share examples of how you've mentored junior engineers and fostered a positive team environment. Discuss your approach to providing constructive feedback and supporting professional development.
✨Align with Business Goals
Engagement with users and product managers is crucial. Prepare to talk about how you've previously aligned technical directions with business objectives. Think of instances where your technical decisions had a direct impact on project success or user satisfaction.
✨Prepare for Collaborative Discussions
Collaboration is key in this role. Be ready to discuss how you've worked across teams to achieve common goals. Highlight any experience you have with leading cross-functional projects and how you ensured effective communication among team members.