19 Posti di lavoro per Algorithm engineer – computer vision and deep learning in Canali
Algorithm Engineer – Computer Vision and Deep Learning
Lavoro visualizzato
Descrizione Del Lavoro
We’re growing! Our team in Parma (Italy) is seeking a passionate and skilled Algorithm Engineer with a deep understanding of computer vision, deep learning, and computational geometry.
The successful candidate will play a role in the generation of high-quality ground truth data for HD maps, supporting autonomous systems and spatial intelligence.
Responsibilities:
- Design and implement advanced algorithms for computer vision applications.
- Develop and optimize deep learning models;
- Apply computational geometry techniques to solve complex spatial problems;
- Collaborate with the team to integrate your work into our in-house auto-annotation system;
Requirements:
- Proficiency in C++ and Python;
- Experience with computer vision and deep learning libraries (e.g., OpenCV, PyTorch, TensorFlow);
- Solid understanding of deep learning architectures;
- Strong background in computational geometry (e.g., triangulation, matching, 3D reconstruction);
- Ability to write clean, modular, and well-documented code;
Nice to Have:
- Knowledge of containerization tools such as Docker or Podman, and orchestration with Kubernetes;
- Experience in robotics, autonomous systems, or automotive applications;
- Knowledge of numerical optimization or SLAM techniques;
To apply, please submit resume with subject: JOB#RepLP_DM to or apply online on Ambarella website.
As an Equal Opportunity/Affirmative Action Employer, Vislab and Ambarella recruit qualified applicants without regard to race, color, national origin, sex, physical disability, or veteran status.
Please find at this link our privacy disclaimer dedicated to candidates data, accordingly to the GDPR:
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Algorithm Engineer – Computer Vision and Deep Learning
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
The successful candidate will play a role in the generation of high-quality ground truth data for HD maps, supporting autonomous systems and spatial intelligence.
Responsibilities:
Design and implement advanced algorithms for computer vision applications. Develop and optimize deep learning models; Apply computational geometry techniques to solve complex spatial problems; Collaborate with the team to integrate your work into our in-house auto-annotation system;
Requirements:
Proficiency in C++ and Python; Experience with computer vision and deep learning libraries (e.g., OpenCV, PyTorch, TensorFlow); Solid understanding of deep learning architectures; Strong background in computational geometry (e.g., triangulation, matching, 3D reconstruction); Ability to write clean, modular, and well-documented code;
Nice to Have:
Knowledge of containerization tools such as Docker or Podman, and orchestration with Kubernetes; Experience in robotics, autonomous systems, or automotive applications; Knowledge of numerical optimization or SLAM techniques;
To apply, please submit resume with subject:
JOB#RepLP_DM
to or apply online on Ambarella website.
As an Equal Opportunity/Affirmative Action Employer, Vislab and Ambarella recruit qualified applicants without regard to race, color, national origin, sex, physical disability, or veteran status.
Please find at this link our privacy disclaimer dedicated to candidates data, accordingly to the GDPR:
Algorithm Engineer – Computer Vision and Deep Learning
Inserito 3 giorni fa
Lavoro visualizzato
Descrizione Del Lavoro
We’re growing! Our team in Parma (Italy) is seeking a passionate and skilled Algorithm Engineer with a deep understanding of computer vision, deep learning, and computational geometry.
The successful candidate will play a role in the generation of high-quality ground truth data for HD maps, supporting autonomous systems and spatial intelligence.
Responsibilities:
- Design and implement advanced algorithms for computer vision applications.
- Develop and optimize deep learning models;
- Apply computational geometry techniques to solve complex spatial problems;
- Collaborate with the team to integrate your work into our in-house auto-annotation system;
Requirements:
- Proficiency in C++ and Python;
- Experience with computer vision and deep learning libraries (e.g., OpenCV, PyTorch, TensorFlow);
- Solid understanding of deep learning architectures;
- Strong background in computational geometry (e.g., triangulation, matching, 3D reconstruction);
- Ability to write clean, modular, and well-documented code;
Nice to Have:
- Knowledge of containerization tools such as Docker or Podman, and orchestration with Kubernetes;
- Experience in robotics, autonomous systems, or automotive applications;
- Knowledge of numerical optimization or SLAM techniques;
To apply, please submit resume with subject: JOB#RepLP_DM to or apply online on Ambarella website.
As an Equal Opportunity/Affirmative Action Employer, Vislab and Ambarella recruit qualified applicants without regard to race, color, national origin, sex, physical disability, or veteran status.
Please find at this link our privacy disclaimer dedicated to candidates data, accordingly to the GDPR:
Algorithm Engineer – Computer Vision and Deep Learning
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
The successful candidate will play a role in the generation of high-quality ground truth data for HD maps, supporting autonomous systems and spatial intelligence.
Responsibilities:
Design and implement advanced algorithms for computer vision applications. Develop and optimize deep learning models; Apply computational geometry techniques to solve complex spatial problems; Collaborate with the team to integrate your work into our in-house auto-annotation system;
Requirements:
Proficiency in C++ and Python; Experience with computer vision and deep learning libraries (e.g., OpenCV, PyTorch, TensorFlow); Solid understanding of deep learning architectures; Strong background in computational geometry (e.g., triangulation, matching, 3D reconstruction); Ability to write clean, modular, and well-documented code;
Nice to Have:
Knowledge of containerization tools such as Docker or Podman, and orchestration with Kubernetes; Experience in robotics, autonomous systems, or automotive applications; Knowledge of numerical optimization or SLAM techniques;
To apply, please submit resume with subject:
JOB#RepLP_DM
to or apply online on Ambarella website.
As an Equal Opportunity/Affirmative Action Employer, Vislab and Ambarella recruit qualified applicants without regard to race, color, national origin, sex, physical disability, or veteran status.
Please find at this link our privacy disclaimer dedicated to candidates data, accordingly to the GDPR:
Machine Learning Engineer
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
B2C
sector, where we began, but also in
B2B
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.
Machine Learning Engineer
Inserito 3 giorni fa
Lavoro visualizzato
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 B2C sector, where we began, but also in B2B 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.
Machine Learning Engineer
Inserito 3 giorni fa
Lavoro visualizzato
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 B2C sector, where we began, but also in B2B 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.
Machine Learning Engineer
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
B2C
sector, where we began, but also in
B2B
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.
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Informazioni sulle ultime novità Algorithm engineer – computer vision and deep learning Posti di lavoro;/Posti Vacanti nella Canali !
Machine Learning Engineer
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
B2C
sector, where we began, but also in
B2B
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.
Machine Learning Engineer
Ieri
Lavoro visualizzato
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 B2C sector, where we began, but also in B2B 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.
Machine learning engineer
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
About Vita HealthVita 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 B2 C sector, where we began, but also in B2 B 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 RoleWe’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 proficiencyBonus Points For Domain experience in health, fitness, or behavioural science Experience with consumer-facing product integrations Experience in a startup or fast-paced product environmentWhat 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 sectorRecruiting 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.