BHOUT

BHOUT is a gaming company with the heart of a fitness leader that created the first Boxing Bag with a brain by combining sensors on the bag with 3D Computer Vision, breakthrough Artificial…

bhout.com

BHOUT

BHOUT is a gaming company with the heart of a fitness leader that created the first Boxing Bag with a brain by combining sensors on the bag with 3D Computer Vision, breakthrough Artificial…

bhout.com

HQPT

Team Size77

Open JobsUnknown

Total Funding-

Latest FundraiseUnknown

TL;DR

Product: AI-powered smart punching bag (BHOUT Bag) with companion app and clubs

Founded: 2019

Headquarters: Lisbon, Portugal

Funding (reported): Total reported ~$10.92M; multiple early rounds including a pre-seed closed Dec 2022

Team size (reported): 63 employees

Company Overview

Problem Domain

Fitness technology / exergaming — improving engagement and training through gamified smart equipment and AI-driven coaching.

Founded

2019

Industry

Fittech / Gaming-Fitness (exergaming)

Tech Stack

Sensors

3D computer vision

Machine learning

Mobile app

Funding Track Record

Pre-Seed- 2022-12-30

Announced Jan 24, 2023; investors listed for this round include Portugal Ventures and COREangels Lisbon

Investor Signal

“Multiple early-stage investors including Portugal Ventures, COREangels Lisbon, Lince Capital and Explorer Investments”

Founders

What we do

Join the Team

Junior AI & Machine Learning Engineer

HybridLisbon, Lisbon, PT

Hybrid • Lisbon, Lisbon, PT

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1. About BHOUT

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.

2. Working at BHOUT Means

♀ 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.

3. About the Role

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.

4. What You'll Do

5. What You'll Need

Must-have:

Nice to have:

6. Our Perks:

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!

Join Us!

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!

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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.

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 .

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) .