Director of Machine Learning

Senseye is seeking a Director of Machine Learning to lead the design, deployment, and evolution of our ML systems powering the world’s first objective mental health diagnostics platform. This role is both strategic and hands-on: you’ll define the vision and processes for our ML organization while also contributing directly to model development, experimentation, and deployment.

You’ll lead a small but growing team of ML engineers and scientists working at the intersection of computer vision, time-series analysis, and cognitive neuroscience. You’ll establish best practices for reproducibility, evaluation, and experimentation — transforming research concepts into robust, clinically validated production systems. You’ll work closely with leadership to define roadmaps, resource needs, and decision frameworks that are grounded in data and operational transparency.

This role is ideal for a technical leader who thrives in ambiguous, high-stakes environments, enjoys building teams and systems from the ground up, and wants to directly influence how ML is used to transform mental health diagnostics.

• Own and drive the ML technical roadmap, balancing short-term delivery with long-term research and infrastructure investments.
• Design, develop, and deploy models for computer vision and time-series applications (e.g., semantic segmentation, point-of-gaze tracking, keypoint detection, photoplethysmography, MAMBA, dilated 1D CNNs, sparse attention transformers).
• Lead and mentor a small, high-performing team of ML engineers and scientists; establish technical rigor, code quality, and experimentation culture.
• Implement reproducible ML processes — from dataset versioning and model tracking (e.g., Weights & Biases) to GPU scheduling, experiment orchestration, and results documentation.
• Develop and enforce objective evaluation frameworks to assess model performance and reliability across development and production environments.
• Build transparency and accountability through clear reporting of model metrics, data quality, and production outcomes to both technical and executive audiences.
• Collaborate cross-functionally with product, clinical, and platform teams to align ML outputs with product goals, user impact, and regulatory requirements.
• Guide operational planning for ML compute resources, infrastructure scaling, and data pipeline optimization.
• Translate ambiguous problems into clear ML problem statements, balancing technical feasibility, scientific value, and business impact.
• Stay ahead of emerging research and tools, integrating new approaches thoughtfully when they advance clinical accuracy, scalability, or efficiency.
• Represent ML leadership externally, ensuring Senseye’s technical excellence and ethical standards are visible in publications, presentations, and collaborations.

Senseye is a Neuro Technology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first objective mental health diagnostic on top of our core technology.

Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided, and will enable access to treatment for millions of sufferers.

The Senseye platform has the potential to be the technology that drives this change. This is a great opportunity to shape the future of digital medicine and address unmet medical needs that affect billions of people worldwide.

Our interview process is designed to evaluate both your technical depth and your fit as a collaborative leader within our mission-driven team.