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Machine Learning Engineer

Vita Health

Bergamo

Remoto

EUR 40.000 - 70.000

Tempo pieno

4 giorni fa
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Descrizione del lavoro

A dynamic health startup is seeking a Machine Learning Engineer to lead a new initiative that models health progress using advanced algorithms. This role entails designing ML systems, translating user behaviours into insights, and collaborating with cross-functional teams to enhance user wellness journeys. The ideal candidate will have significant experience in applied ML, a passion for simplicity, and the ability to drive projects independently.

Servizi

Autonomy and flexibility
Work from anywhere
Personalised learning budget
Weekly dedicated learning time
Dynamic environment
Leadership committed to career progression

Competenze

  • 5+ years of experience in applied machine learning.
  • Experience in building and deploying ML solutions in production.
  • Ability to work closely with product and domain experts.

Mansioni

  • Design and implement core ML systems for health intelligence.
  • Translate user behaviour into actionable insights.
  • Own the entire ML lifecycle from data exploration to deployment.

Conoscenze

Applied machine learning
Algorithm design
Data pipelines
Project ownership
Behavioral modelling
Consumer product integrations

Descrizione del lavoro

About Vita Health
Vita Health is a dynamic startup in the health, nutrition, and fitness industry. Our innovative product has positively affected the lives of over 130,000 people in our core market, and we are now eager to expand our expertise and reach globally. Our mission is to enhance our presence not just in the sector, where we began, but also in corporate wellness by integrating into corporate partnerships for both large enterprises and SMEs that shape our market. We strive to make individuals more conscious of the benefits of a healthy lifestyle, demonstrating that dieting and exercising can seamlessly fit into their daily routines rather than being a chore. By utilising AI and algorithms, we create personalised diet and training plans tailored to user inputs during onboarding, which adapt continuously to reflect their progress. Our dedicated team of nutritionists and personal trainers is committed to guiding users throughout their journey to help them reach their goals. If you're passionate about transforming lives, join Vita Health!

About The Role
We’re hiring our first Machine Learning Engineer to spearhead a new strategic initiative aimed at modelling individual health progress and behaviour in a more intelligent, personalised, and explainable way. This role is a rare opportunity to lay the technical and strategic foundation for how we assess and support our users’ wellness journeys through data. You’ll work at the intersection of health science, behavioural modelling, and machine learning, bringing innovative ideas to life, backed by real-world impact. Your responsibilities will include:

  • Design and implement the core ML systems behind a new health intelligence initiative, balancing rule-based and ML-based approaches.
  • Translate complex user behaviours (nutrition, training, physical activity, sleep, engagement, etc.) into actionable, data-driven insights.
  • Own the entire ML lifecycle: from data exploration and feature engineering to model deployment and monitoring.
  • Build data-ingestion flows and automated training jobs on AWS.
  • Work closely with cross-functional stakeholders, including Product, Engineering, Design, and Health Experts, to define meaningful signals and feedback loops.
  • Ensure a high level of transparency and explainability so our users can understand and trust the results.
  • Help define the long-term ML roadmap—including opportunities in personalisation, recommendations, and behavioural nudging.

What You’ll Bring
  • 5+ years of experience in applied machine learning, with strong foundations in algorithm design and data pipelines.
  • Vision to architect and evolve our entire ML tech stack—from experimentation frameworks and data pipelines to deployment and MLOps infrastructure.
  • Experience building and deploying ML solutions in production environments.
  • Passion for turning complexity into simplicity for end users.
  • Ability to independently own projects from data exploration to delivery.
  • Experience working closely with product and domain experts to define and refine model objectives.

Bonus Points For
  • Domain experience in health, fitness, or behavioural science.
  • Experience with consumer-facing product integrations.
  • Experience in a startup or fast-paced product environment.

Additional Perks
Based on experience: autonomy and flexibility, work from wherever you want with optional visits to our modern Milan office, personalised learning budget with dedicated weekly learning time, a dynamic environment where your ideas influence strategies and product development, leadership committed to your career progression, and a unique opportunity to create a significant impact in the health sector.

Recruiting Process
  • Asynchronous Assessment: Evaluate reasoning abilities, logical and critical thinking, and behaviour in challenging situations.
  • Assessment Review: Discuss your test results to understand your thought process.
  • Technical Evaluation: A tailored technical assessment for the role.
  • Technical Review: Discuss your approach and reasoning behind your solutions.
  • Cultural Fit Interview: Ensure your values align with our company culture to help everyone thrive.
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