AI/ML Engineer

At XO Life, we are scaling our engineering team. We are looking for true software engineers with 7+ years experience in product companies.

We seek an experienced AI/ML Engineer to drive innovation in artificial intelligence and machine learning, combining research with practical implementation. You'll design and deploy ML models, analyze data, and collaborate with cross-functional teams to deliver impactful solutions.

Your mission

1. Machine Learning Model Development

• Analyze, visualize, and ensure the quality of healthcare data to extract actionable insights

• Design, prototype, and deploy ML models and algorithms in collaboration with data scientists and engineers

2. ML Infrastructure & Operations

• Ensure robust data workflows and support MLOps best practices

• Develop and maintain scalable ML pipelines and microservices, including automation of deployment, monitoring, and retraining

3. Collaboration & Leadership

• Work closely with product, engineering, and business teams to deliver impactful AI solutions

• Present findings, lead cross-functional AI initiatives

Your background

Your Education & Experience

• PhD in Computer Science, Machine Learning/AI, Statistics, or related fields, OR Master’s with 5+ years relevant experience

• Strong foundation in mathematics, statistics, and algorithms

Technical Skills

• Programming: Python, JavaScript/TypeScript

• ML/AI: Vertex AI, LangGraph, TensorFlow, PyTorch, Scikit-learn, Keras

• Cloud: AWS, GCP

• Data: Snowflake, Apache Superset, MongoDB, Pandas, NumPy, Jupyter

• MLOps: Docker, Kubernetes, CI/CD, MLflow, Weights & Biases

Domain Expertise

• ML algorithms (supervised, unsupervised, reinforcement learning)

• Deep learning (CNNs, RNNs, Transformers)

• Statistical methods, experimental design

• Big data frameworks (Spark, Dask)

Soft Skills

• Analytical and problem-solving abilities

• Excellent English communication 

• Independent, organized, collaborative

Preferred Qualifications

• Distributed/parallel computing

• Software engineering best practices

• A/B testing, experimentation frameworks

• Edge computing, model optimization

Please note: you must have the legal right to live and work in the European Union (EU). Applications from candidates residing outside the EU cannot be considered.

Why us?

• Top Tech company in Digital Health: Work in a fast-growing, innovative environment where your impact is visible.

• True impact in healthcare: Contribute to a unique platform with the potential to improve health for millions.

• International team: Join colleagues from 14+ nationalities, united by a shared vision.

• 100% remote with best IT equipment: Enjoy full remote work, regular team events, and top-notch equipment.

Hiring Process

• Initial Screening: Technical phone/video introductory and experience call.

• Leadership Interview: Discussion focused on leadership principles, values, and cultural fit.

• Technical Deep Dive: In-depth discussion of applied ML/AI topics, including live coding and system design.