Attiva gli avvisi di lavoro via e-mail!
A health and fitness startup is seeking a Machine Learning Engineer to lead a new initiative aimed at personalizing health progress through intelligent modeling. In this role, you'll design core ML systems and manage the entire lifecycle from data exploration to deployment, all while working in a flexible environment. Ideal candidates will have over 5 years of machine learning experience and a passion for simplifying complex processes for users. Salary between €39,000 and €47,000.
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
by integrating into corporate
welfare programs
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
interpretable models
and 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. Fluent
English
proficiency
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
What We Offer €39,000 – €47,000
based on experience ️ Autonomy and flexibility. Work from wherever you want, with the option to visit our modern Milan office. Personalised learning budget with the possibility to have
dedicated learning time weekly . A dynamic work environment where your ideas will directly influence our strategies and product development. Leadership committed to your
career progression ️ A unique opportunity to create a significant
impact in the health sector
Recruiting Process Asynchronous Assessment : Evaluate your reasoning abilities, logical and critical thinking, and behaviour in challenging situations. Assessment Review : We’ll discuss your test results to understand your thought process. Technical Evaluation : A technical assessment tailored to 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.