Posted 29 May 2024, 2:00 pm

Senior Machine Learning Engineer Data Solutions at Wellhub

Apply now for a career that puts wellbeing first!

GET TO KNOW US

Wellhub (formerly Gympass*) is a corporate wellness platform that connects employees to the best partners for fitness, mindfulness, therapy, nutrition, and sleep, all included in one subscription designed to cost less than each individual partner. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 countries. At Wellhub, you have the opportunity to build a career in a high-growth tech company that places wellbeing at the foundation of its culture, and contribute to making every company a wellness company.

*Big news: Gympass is now Wellhub!
We are thrilled to announce our rebranding as Wellhub, marking a significant milestone in our journey. This transformation reflects our evolution from a “pass for gyms” to a comprehensive employee wellbeing solution. With our refreshed identity, we are poised to embark on an exciting new chapter of growth and expansion. We are elevating our offerings, including a completely new app experience and an expanded network of wellbeing partners. Learn more about it here.

THE OPPORTUNITY

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

The Data department at Wellhub 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 flexible program allows you to customize your benefits, according to your needs!

Our benefits include:

WELLNESS: Health, dental, and life insurance.

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 help cover the costs of working from home.

FLEXIBLE SCHEDULE:  Wellhubbers and their leaders can make the best decisions for their scope. This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs

WELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing too. Access onsite gyms and fitness studios, 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.

PAID TIME OFF: We know how important it is that our employees take time away from work to recharge. 

Vacations after 6 months and 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + extra day off for your birthday.

PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life and we want our employees to take the time to be present and enjoy their growing family. We offer 100% paid parental leave to all new parents and extended maternity leave

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 atmosphere with ambitious people from around 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  Wellhub… Follow us on Instagram @wellhublife and LinkedIn!

Diversity, Equity, and Belonging at Wellhub

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

Wellhub 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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Source: Remote Ok