Who is Eleos Health?

Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human.

Eleos is on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, we want to give clinicians the support they need to do the important work only they can do.

Who is Eleos?

Today, more people than ever are speaking publicly about their mental health. Whether it’s ourselves, our friends and family, or even public figures, taking care of behavioral health is no longer a taboo — it’s vital, and it’s only human. At Eleos, we are on a mission to help deliver the world’s most effective behavioral care through data, measurement, and personalization. Simply put, we want to empower clinicians to do the essential work only they can do.

What is this opportunity?

We are seeking a sharp, execution-focused Data Science Team Leader to join our AI & Data Group. The DS team plays a central role in our product development, combining algorithmic thinking with strong engineering to build production-grade AI features that power our core platform.

You'll help us shape the next generation of AI-native features that support clinicians, including documentation assistance, summarization, clinical signal extraction, and more.

You will lead a group of talented data scientists working on real-world challenges - from processing clinical audio data, to applying machine learning to speech and language, to deploying robust models that impact clinicians and patients alike. The team works in a hybrid model: embedded within product pods, and on strategic projects at the platform level.

This is a hands-on leadership position. You’ll be expected to code, support architectural decisions, and guide the team’s work from idea to production. You’ll report to the AI Group Manager, and be a key figure in the continued success and growth of our AI capabilities.

Key Responsibilities

Team & Technical Leadership

• Lead a growing team of 5–6 data scientists working on both pod-integrated and platform-level AI initiatives
• Provide hands-on technical guidance in areas like LLM architecture, classical ML, hybrid pipelines, and data-centric ML workflows.
• Recruit, coach, and grow team members across research, engineering, and delivery dimensions.
• Support and develop team members through mentorship, code reviews, and technical guidance
  
  

Modeling & Engineering Execution

• Design and implement models across the ML spectrum — LLMs, classical ML, neural networks, and hybrid architectures.
• Drive experimentation with MM-LLMs, agentic workflows, and prompt-based solutions tailored for behavioral healthcare.
• Guide smart tradeoffs between modeling complexity, performance, inference cost, and integration fit.
• Collaborate deeply with Infra and data engineers to ensure models are deployable, observable, and scalable in production environments.
  
  

Cross-functional Collaboration

• Work closely with Group Leadership, Engineering, Product, and Clinical SMEs to turn abstract problems into concrete, testable, and explainable solutions.
• Translate user and clinical needs into viable ML products that deliver measurable impact.
• Actively contribute to architectural decisions involving data pipelines, APIs, and service-level integration of ML components.
  
  

Who are you?

• 5+ years of experience in applied ML or data science, with at 3 years of team leadership.
• Deep experience with NLP or LLMs — including fine-tuning, prompt engineering, or RAG-style pipelines. Especially audio, speech-to-text, or classic ML
• Solid background in classical ML, deep learning (CNNs, RNNs, DNNs), and feature engineering across varied data types.
• Strong engineering foundation — you’ve built and shipped production-grade ML services, and understand backend systems, APIs, and infrastructure fundamentals.
• Fluent in Python and modern ML tooling (PyTorch, Hugging Face, MLflow, Docker, Airflow).
• Experienced in working with MLOps, data engineering, and cloud infrastructure
• Excellent communicator, pragmatic thinker, and collaborative leader.
• M.Sc. or Ph.D. in a relevant field (e.g. Computer Science, Mathematics, or Engineering
  
  

This is a unique opportunity to join a startup that has a meaningful impact on the well-being and mental health of thousands.

We have:

• A product that positively impacts people's lives every single day.
• A team of amazing people with a shared vision and the infinite drive to make it happen
• We offer significant equity.
• Opportunity to build, grow, and become highly instrumental in shaping how technology can increase the effectiveness of therapy
• Hybrid work opportunities.
• On mental health days off, you can take any given moment simply because you need them.