BHOUT is on a mission to revolutionize the way people approach fitness. We understand that many individuals struggle to find enjoyment in traditional physical exercise, which often leads to its avoidance. That's where BHOUT comes in. We're dedicated to transforming the fitness experience into an exciting and engaging activity. Our smart boxing bags, fueled by cutting-edge AI technology and a dedicated app, are designed to gamify fitboxing, turning it into an immersive game that rewards your sweat.
Starting with a thriving BHOUT club in the heart of Lisbon, we're now expanding our reach globally. BHOUT bags will be a familiar sight everywhere – whether it's in offices, homes, buildings, or gyms – making fitness accessible wherever the mood strikes.
🙋♀️ Friendly - Simple and user-friendly to make it more accessible, democratic and fun.
🌏 Inclusive - Everyone is different. We acknowledge and celebrate each individual.
💎 Transparent - We are what we are. We don’t hide or pretend.
🥊 Punch - BHOUT makes a difference. Everything we do has a punch, gets noticed.
💡 Curious - Eternally evolving. Driving the fitness world forward. Creating new rituals and trends.
🤝 Connected - We are a team of many. To build a community, we have to build connections, using technology, creating live experiences.
We’re looking for a Machine Learning Engineer with a strong data background to join our team and help build models that understand, interpret, and coach users based on their performance.
You’ll succeed if you have a solid academic background in ML, Data Engineering, and Software Development. In this role, you’ll work mainly with structured data to identify patterns, develop predictive models, and interpret Computer Vision outputs, translating them into clear and actionable coaching feedback for BHOUT players.
Analyze and process tabular performance data from existing pipelines.
Design, train, and evaluate machine learning models for prediction, clustering, and recommendation tasks.
Define and track relevant metrics, identifying trends and patterns over time.
Develop data-driven systems to forecast user performance and progression.
Build personalized recommendation systems based on user metrics.
Perform data cleaning, preprocessing, and feature engineering.
Collaborate with Computer Vision and app teams to integrate outputs into the broader product.
Ensure models are efficient and suitable for low-latency environments when required.
Must-have:
2+ years of experience in Machine Learning and Data Analysis.
Strong experience working with tabular data.
Proficiency in SQL and experience with database management.
Experience with data cleaning, preprocessing, and visualization.
Solid understanding of core ML algorithms such as PCA, t-SNE, K-means, Decision Trees, Bagging & Boosting (XGBoost), least squares, ARIMA, among others.
Proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
Experience training, evaluating, and deploying ML models.
Good understanding of model evaluation metrics and validation techniques.
Awareness of resource constraints (memory, compute, latency).
Strong academic background (Master’s or PhD in a relevant field preferred).
Ability to work in multidisciplinary teams.
Nice to have:
Experience with NLP, conversational AI, or language models.
Experience with multimodal AI (e.g., vision-language models, CLIP).
Familiarity with speech synthesis or voice-based interaction systems.
Understanding of edge AI frameworks such as TensorRT, TFLite, or ONNX Runtime Mobile.
Experience with MLOps tools such as MLflow or Weights & Biases.
Experience deploying chat models or AI assistants, ideally in fitness, gaming, or sports coaching contexts.
Familiarity with reinforcement learning from human feedback (RLHF).
🥊 Play BHOUT: You and your family members can enjoy our special BHOUT Club Memberships.
💰 Competitive Compensation: Competitive salary and performance-based Bonuses.
🏝️ Extra Time Off: Enjoy 25 vacation days per year, plus 3 additional days off on your birthday, Christmas Eve, and New Year’s Eve.
🩺 Health Insurance: Access to a wide network of clinics and hospitals, negotiated rates, and reimbursement of medical expenses. For you and your immediate family, in Portugal only.
🗓️ Work-Life Balance: Work on your own terms with BHOUT's Flexible Hours and Remote Work Options!
🚀 Entrepreneurial Environment: Dynamic atmosphere where every voice is heard, and every idea has the potential to make a significant impact.
👫 Team Get-Togethers: Regular Team Events and Off-sites to foster Collaboration and Camaraderie!
BHOUT is an equal opportunity employer. We celebrate diversity and welcome applicants from all backgrounds. Join us in our mission to make fitness fun and accessible for everyone!