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 Mid-level Data Scientist for our GenAI team in Portugal!

Our GenAI team leverages advanced AI technologies to personalize user experiences, streamline operations, and optimize resources, acting as a hub for innovation while enabling Wellhub to harness the full potential of generative AI across multiple domains.

We are looking for a talented and motivated Data Scientist to join us and contribute to groundbreaking projects in the field of Generative AI.

 

YOUR IMPACT

 

As a Data Scientist specializing in Generative AI, you will play a crucial role in designing, developing, and deploying AI models that can generate content, solutions, and insights across various domains. You will collaborate with a multidisciplinary team of engineers, and domain experts to create innovative AI applications that solve real-world problems.

• Model Development: Design, implement, and optimize generative models using advanced machine learning and deep learning techniques, including GANs, VAEs, autoregressive models, and transformers;
• Model Fine tuning: Fine-tune pre-trained models to adapt to specific use cases and requirements, including performing large language models (LLMs) fine-tuning and optimization for enhanced model performance. Additionally, collaborate with data scientists to annotate and preprocess data for model training, ensuring the models are tailored effectively to the intended applications.
• Prompt Engineering: Develop and refine prompts to enhance the performance and output quality of generative models, ensuring that the models respond accurately and relevantly to various input scenarios.
• Data Preparation: Collect, preprocess, and analyze large datasets to ensure high-quality input data for training generative models.
• Embeddings: Develop and utilize embeddings to represent complex data types (e.g., text, images) in a way that facilitates the generation of meaningful and accurate outputs.
• Research and Innovation: Stay current with the latest research in generative AI, propose new approaches, and contribute to the academic and technical community through publications and presentations.
• Collaboration: Work closely with cross-functional teams to integrate generative models into products and services, ensuring they meet business objectives and user needs.
• Evaluation and Testing: Develop and implement rigorous testing and evaluation frameworks to assess model performance, robustness, and reliability. Collaborate with the Data team in order to improve our internal ML Ops platform.
• Deployment: Collaborate with engineering teams to deploy models in scalable and efficient production environments.
• Documentation: Maintain comprehensive documentation of models, algorithms, experiments, and processes to ensure reproducibility and knowledge sharing.
• 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

• Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field;
• Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar;
• Knowledge of generative models, including GANs, VAEs, autoregressive models, and transformers;
• Strong problem-solving abilities, with a focus on experimental design and data analysis;
• Excellent verbal and written communication skills (both in English and Portuguese), with the ability to explain complex technical concepts to non-technical stakeholders.

The following are preferred qualifications:

• Proficient in model fine-tuning and hyperparameter optimization;
• Proven track record of developing and deploying generative AI models in production;
• Familiarity with natural language processing (NLP) and/or computer vision applications;
• Familiarity with vector databases for handling high-dimensional data.

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 prior experience in Data Science and Python 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:

WELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing 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:  At Wellhub, flexibility fosters a happier, healthier, and more productive work environment for everyone. As a Flexible First company, we offer two work model options: flexible hybrid and full remote, and make the office a place for collaboration, community, and team building. The model for this role can be discussed with your recruiter and hiring manager. 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: We understand that together, Wellhubbers 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: 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 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 Wellhub… Follow us on Instagram @lifeatwellhub 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.

#LI-REMOTE

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Last updated on Aug 14, 2024