At a Glance
- Tasks: Lead the development of AI-driven photo logging solutions for ZOE's health transformation mission.
- Company: ZOE is a pioneering science and nutrition company revolutionising how we approach health through personalised nutrition.
- Benefits: Enjoy competitive pay, stock options, flexible benefits, and wellness packages tailored to your needs.
- Why this job: Join a passionate team solving real-world problems with cutting-edge technology in a supportive environment.
- Qualifications: 7+ years in backend engineering and 5 years in deployed ML products; strong programming skills required.
- Other info: We value diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 48000 - 72000 £ per year.
We Are Redefining How People Approach Their Health
ZOE is the science and nutrition company leading a movement to transform the health of millions.
We exist because the food we eat is making us sick. Most of what we are taught about food is wrong.
ZOE runs the world’s largest nutrition science study to find scientifically proven solutions.
Our randomized controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years.
ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement.
Over 100,000 people rely on ZOE Membership, our personalized nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal.
ZOE means life — and you can change your life with food.
Visit our career page and become a ZOEntist.
About the Team
At ZOE, we\’re on a mission to empower people with the most advanced science and technology to transform their health. Our Snap team is at the heart of this mission, developing AI-driven solutions that make food logging effortless—just by using a camera! If you\’re passionate about cutting-edge machine learning, building impactful products, and solving real-world problems, this is the role for you.
About the Role
We\’re looking for an Lead Machine Learning Engineer to join our team of ML engineers and data scientists, helping to scale our product to millions of users, and working on some complex technical problems. You\’ll be tackling a range of challenges that will require analytical thinking and keen instincts, as well as an understanding of our domain and how our users behave. You\’ll work with a cross-functional team including product managers, designers, and front-end engineers to deliver our cutting-edge photo logging product.
What You’ll Do:
- Build and scale our photo logging AI product, a core feature for ZOE’s members.
- Work alongside data scientists, software engineers, and domain experts to collect requirements and establish project goals.
- Evaluate model performance, conduct A/B testing, and iteratively improve model accuracy and efficiency.
- Work with our platform team and collaborate on hosting, availability and scale challenges.
- Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.
- Solve complex backend problems while collaborating closely with product managers and UX designers to provide a best-in-class customer experience.
- Write code across our micro-services and data pipelines.
- Ship in production, preferably daily or more!
What makes you a great fit:
- 7+ years of experience in backend software engineering.
- 5 years of experience working on a deployed ML or AI product.
- A strong background in ML, Computer Science, Mathematics, or Statistics—either through a degree or equivalent experience.
- Experience working on a large scale backend system, dealing with scaling challenges, high availability, or supporting a large number of users.
- Passionate about LLMs, prompting techniques, and evaluation strategies.
- Experience in programming languages such as Python or Java.
- Understanding of cloud platforms (Google Cloud, AWS, Vertex AI, Sagemaker).
Bonus points:
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with data analysis or data science.
The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you\’re passionate about ZOE and the opportunity, but don\’t meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer upskilling opportunities where possible.
Compensation Philosophy
At ZOE, we are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary — we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company’s growth and success.
We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognize their individual contributions, and empower them to grow alongside ZOE.
Benefits & Perks
At ZOE we understand the significant role our benefits play in motivating, inspiring and safeguarding our employees\’ well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognizing the diverse needs arising from different life stages of our ZOEntists.
Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we\’ve got you covered.
At ZOE, we continue to build a benefits package that invests in our team members’ long-term personal and professional growth and wellbeing, adding to this list as it evolves.
Equal opportunities
We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.
#J-18808-Ljbffr
Lead Machine Learning Engineer | SNAP Team employer: Zoe Immersive, Inc.
Contact Detail:
Zoe Immersive, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer | SNAP Team
✨Tip Number 1
Familiarise yourself with ZOE's mission and products. Understanding how their AI-driven solutions transform health will help you articulate your passion for the role and demonstrate your alignment with their goals during discussions.
✨Tip Number 2
Showcase your experience with machine learning frameworks like TensorFlow or PyTorch. Be prepared to discuss specific projects where you've applied these technologies, as this will highlight your technical expertise and relevance to the role.
✨Tip Number 3
Network with current or former ZOE employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 4
Stay updated on the latest trends in machine learning and AI. Being able to discuss recent advancements or methodologies during your conversations will demonstrate your commitment to continuous learning and innovation in the field.
We think you need these skills to ace Lead Machine Learning Engineer | SNAP Team
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Lead Machine Learning Engineer position. Tailor your application to highlight relevant experience in backend software engineering and machine learning.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 7+ years of experience in backend software engineering and any specific projects related to deployed ML or AI products. Use concrete examples to demonstrate your skills and achievements.
Showcase Your Passion: ZOE values passion for health and technology. In your application, express your enthusiasm for the company's mission and how your background aligns with their goals. Mention any personal experiences that connect you to the health and nutrition field.
Tailor Your Documents: Customise your CV and cover letter for this specific role. Use keywords from the job description, such as 'A/B testing', 'model performance', and 'cloud platforms', to ensure your application stands out to the hiring team.
How to prepare for a job interview at Zoe Immersive, Inc.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning frameworks like TensorFlow or PyTorch. Highlight specific projects where you've successfully deployed ML models, and be ready to explain the challenges you faced and how you overcame them.
✨Understand ZOE's Mission
Familiarise yourself with ZOE's approach to nutrition and health. Demonstrating a genuine understanding of their mission and how your role as a Lead Machine Learning Engineer can contribute to transforming people's health will set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to tackle complex technical problems during the interview. Practice articulating your thought process when solving backend issues or scaling challenges, as this will showcase your analytical thinking and problem-solving skills.
✨Collaborate and Communicate
Since you'll be working closely with cross-functional teams, emphasise your collaboration skills. Share examples of how you've effectively communicated with product managers, designers, and other engineers to deliver successful projects in the past.