Apply now for a career that puts wellbeing first!

GET TO KNOW US

Gympass is a corporate wellness platform that connects you to thousands of fitness & wellness partners, all with one simple monthly membership. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 offices around the world. At Gympass, you not only have the opportunity to build a career in a fast-paced global environment - but you'll make wellbeing universal, so everyone can be happy and healthy. 

THE OPPORTUNITY

We are hiring a Senior Machine Learning Engineer to our Data Solutions team in Portugal! 

The Data department at Gympass contributes to our data democratization mission. We are responsible for empowering every team by providing a scalable and reliable Data and ML platform to provide an efficient journey for every Data Practitioner and help elevate business outcomes from our data.

We tackle large-scale production challenges using software engineering principles, leveraging cutting-edge technologies such as Kubernetes, Trino, Spark, Kafka, Airflow, Flink, MLFlow, and more. Our infrastructure is entirely cloud-based, offering a dynamic and innovative environment for data-driven solutions.

YOUR IMPACT

• Develop and maintain a scalable platform to streamline the development, deployment and management of machine/deep learning models;
• Design and implement data architectures and pipelines to solve complex business challenges;
• Ensure engineering best practices to create scalable and reliable data solutions
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.
  

WHO YOU ARE

• You have created robust and scalable Data and/or Machine Learning architectures and frameworks;
• Proficient in at least one programming language (e.g. Java, Python, Scala).
• You can collaborate with different teams to understand needs and develop effective Data solutions;
• You are motivated to design, implement, and maintain software solutions within the Data realm;
• Demonstrated experience in building and maintaining MLOps tools and pipelines for model development, deployment, and automation;
• Understanding of Machine and Deep Learning principles and frameworks (e.g. TensorFlow, PyTorch, sci-kit learn);
• Understanding of data engineering and architecture principles and technologies (e.g. Apache Spark, Hadoop, Apache Flink);
• You need to be able to articulate ideas clearly when speaking to groups in English.

The following will be considered a plus:

• Hands-on experience with cloud platforms, particularly AWS, including services like SageMaker, EC2, and S3;
• Familiarity with containerization technologies such as Docker/Kubernetes/Crossplane;
• Ability to deploy and manage machine learning models within Kubernetes clusters;
• Experience with DevOps practices, including CI/CD pipelines and infrastructure as code (IaC) and logging tools such as Prometheus, Grafana, or AWS CloudWatch.

We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that experience working with Java, or Python, and understanding of Machine and Deep Learning principles and frameworks, and also an advanced level of English are mandatory requirements.

WHAT WE OFFER YOU 

We're a wellness company that is committed to the health and well-being of our employees. Our benefits include:

GYMPASS: We believe in our mission and encourage our employees and their families to find their passion too. Access digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more. You will receive the Gold plan at no cost, and other premium plans will be significantly discounted.

FITNESS: Additional fitness subsidy to access onsite gyms and fitness studios.

FLEXIBLE WORK: Choose when and where you work. For most, this will be a hybrid office/remote structure, but can vary depending on the needs of the role and employee preferences. We offer all employees a home office stipend and a monthly flexible work allowance to cover the costs of working from home. 

FLEXIBLE SCHEDULE: We understand that together, Gympassers and their leaders can make the best decisions for their own individual scopes. This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs.

PAID TIME OFF: We know how important it is to take time away from work to recharge. Employees receive a minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!).

PARENTAL LEAVE: 100% paid parental leave of 12 weeks to all new parents (of both biological and adopted children, regardless of gender and parent's relationship with the co-parent) + 100% paid birth leave of 14 weeks.

CAREER GROWTH: Outstanding opportunities for personal and career growth. That means we maintain a growth mindset in everything we do and invest deeply in employee development.

CULTURE: An exciting and supportive environment filled with passionate individuals from all over the world! You’ll partner with global colleagues and share in the success of a high-growth technology company disrupting the health and wellness space. Our value-based culture of trust, flexibility, and integrity makes this possible every day. Find more info on our careers page! 

 

And to get a glimpse of Life at Gympass… Follow us on Instagram @gympasscareers and LinkedIn!

Diversity, Equity, and Belonging at Gympass

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.

Gympass is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Questions on how we treat your personal data? See our Job Applicant Privacy Notice.

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