Wellth

Senior Machine Learning Engineer

Poland

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Health & Fitness, Software Development, AI & Machine LearningIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Contract
  • Salary: Not specified

Welltech is a global leader in the Health & Fitness industry, with over 220 million app installs and a mission to improve people's health through intuitive nutrition trackers, fitness solutions, and personalized wellness journeys. We are a diverse team of over 700+ professionals across 5 hubs.

The core ML team is looking for an experienced professional to design and deploy impactful machine learning solutions that enhance decision-making and automate key business processes. This role involves ownership of end-to-end ML systems, from data to deployed models and monitoring.

Requirements

  • 4+ years of experience in Machine Learning, Data Science, or ML Engineering.
  • Advanced proficiency in Python and SQL.
  • Strong experience with ML libraries such as NumPy, Pandas, Scikit-learn.
  • Solid knowledge of statistical modeling, machine learning theory, optimization, and practical algorithm design.
  • Strong Python coding skills, including writing clean, efficient, and maintainable production code.
  • Hands-on experience building, deploying, and maintaining ML models in production.
  • Experience with end-to-end ML pipelines: data ingestion, feature engineering, training, validation, deployment, and monitoring.
  • Proficiency in AWS services such as SageMaker, Glue, Redshift, and Lambda.
  • Familiarity with ML engineering best practices: version control, CI/CD for ML (e.g., model registry, automated testing, retraining pipelines).
  • Strong communication and stakeholder management skills.
  • Proven ability to lead complex projects and collaborate with cross-functional teams.

Responsibilities

  • Lead the design, development, and deployment of robust ML systems.
  • Own and evolve core ML infrastructure and pipelines, ensuring scalability and reliability.
  • Partner with data engineers and analysts to ensure high data quality and efficient feature pipelines.
  • Design and maintain inference APIs in production environments.
  • Build internal tools and dashboards using Streamlit to support model transparency and monitoring.
  • Track model performance and implement monitoring tools.
  • Collaborate with business stakeholders to scope ML use cases and translate them into actionable technical solutions.
  • Conduct code reviews, mentor ML Engineers and Data Scientists, and promote best practices.
  • Ensure continuous improvement of deployed models through retraining, feedback loops, and error analysis.

Nice to Have

  • Experience with recommendation systems.
  • Familiarity with reinforcement learning or bandit-based approaches.
  • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with containerization (Docker).
  • Exposure to infrastructure-as-code (Terraform) and workflow orchestration (Airflow).

Tech Stack

  • Python
  • SQL
  • DBT

Company Information

Welltech is a global leader in the Health & Fitness industry, dedicated to improving the health of millions of people worldwide through innovative technology.

Skills

Python
SQL
NumPy
Pandas
Scikit-learn
Statistical modeling
Machine learning theory
Optimization

Wellth

Improves patient adherence to treatment plans

About Wellth

Wellth focuses on enhancing patient adherence to treatment plans through personalized programs based on evidence and behavioral economics. The company targets individuals who have difficulty maintaining health habits, such as taking medications or following treatment protocols, particularly in the areas of behavioral health and chronic disease management. Wellth tailors each member's experience to their specific needs, using insights from behavioral economics to tackle the reasons behind non-adherence and help members develop sustainable healthy habits. The company operates on an outcome-based payment model, meaning it only receives payment when its programs demonstrate validated success. This model appeals to healthcare providers, insurers, and employers who aim to lower healthcare costs by improving patient outcomes. Wellth's goal is to foster long-term relationships with its members while driving behaviors that positively impact healthcare costs and outcomes.

Culver City, CaliforniaHeadquarters
2014Year Founded
$36.5MTotal Funding
SERIES_BCompany Stage
HealthcareIndustries
51-200Employees

Benefits

Flexible Work Hours
Unlimited Paid Time Off
Parental Leave
Health Insurance
Dental Insurance
Vision Insurance
Health Savings Account/Flexible Spending Account
Performance Bonus

Risks

Increased competition from platforms like Omada Health and Livongo.
Regulatory scrutiny on AI and patient data may increase compliance costs.
Dependence on outcome-based models poses financial risks if outcomes aren't achieved.

Differentiation

Wellth uses behavioral economics to improve adherence in chronic disease populations.
The company offers a personalized mobile platform for patient engagement and habit formation.
Wellth's outcome-based payment model ensures payment only for successful program outcomes.

Upsides

Growing demand for digital health solutions supports Wellth's personalized programs.
AI integration enhances patient engagement, aligning with Wellth's recent feature launch.
Partnerships with Medicaid plans expand Wellth's reach in chronic condition management.

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