Tech Lead | Machine Learning Engineering

Lisbon, Portugal

Applications have closed

Gympass

Gympass ist ein umfassendes Firmenfitnessprogramm mit der größten Auswahl an Sport-, Freizeit- und Wellnessangeboten, Kursen, Training und Wellbeing-Apps.

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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 looking for a talented Tech Lead to join our Data Platform team in Portugal!

The Data Platform team is responsible for providing a scalable and reliable data infrastructure, delivering consistent and trustful data, while creating self-service data products that abstract complexity away from other teams and enabling them to focus on their development, derive the necessary analytics and make data-driven decisions.

Our infrastructure is completely in the cloud, running Kubernetes, Presto, Spark, Kafka, Airflow, Flink and more cutting edge projects. We use software engineering principles to solve large scale production challenges, while building and maintaining a machine learning platform which aims at helping everyone at Gympass to make data-informed decisions.

YOUR IMPACT

As a Tech Lead, you’ll be able to:

  • Build production systems that personalize our user’s experience on the platform;
  • Help drive optimization, testing, and tooling to improve quality;
  • Prototype new approaches and productionize solutions at scale;
  • Perform data analysis to establish baselines and inform product decisions;
  • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features.

WHO YOU ARE

  • You hold a Bachelor’s Degree in Computer Science or related field and/ or equivalent experience;
  • You have consolidated software engineering experience with a successful track record of delivering quality results;
  • You have strong software design and development skills (e.g. in Scala, Python, Java, or C++);
  • You have experience with large-scale data frameworks, such as Spark or Scalding;
  • You have experience with parallel and distributed computing;
  • You are experienced in applied machine learning and have hands-on experience implementing, or prototyping, machine learning systems at scale in Java, Scala, Python or similar languages;
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation;
  • You have experience and passion for fostering collaborative teams.

The following will be considered a plus:

  • Knowledge of machine learning algorithms;
  • Strong background in math, statistics, or numerical computation;
  • Experience with deep learning frameworks, such as TensorFlow, PyTorch, among others;
  • Significant contributions to open source projects;
  • Experience working with public clouds, especially AWS.

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. 

  • Our offices are in Germany, Italy, Netherlands, Portugal, Romania, Spain, and the UK. You can work from any office or remotely based in any of these countries.

FLEXIBLE SCHEDULE: We give our employees some flexibility to adjust their working hours, letting them adjust their starting time within a range of 3 hours. 

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.

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Airflow AWS Computer Science Data analysis Deep Learning Engineering Flink Kafka Kubernetes Machine Learning Mathematics Open Source Privacy Prototyping Python PyTorch Scala Spark Statistics TensorFlow Testing

Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Gear Health care Home office stipend Parental leave Startup environment Team events Wellness

Region: Europe
Country: Portugal
Job stats:  14  0  0

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