About Us

Senseye is a NeuroTechnology 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 Diagnostics 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 hundreds of millions of sufferers. The Senseye platform has the potential to be the technology that drives this change.

Role Description
We are seeking a seasoned technical leader to guide Senseye’s machine learning strategy and execution. You will be responsible for leading and expanding a team focused on delivering robust and scalable ML models. This role involves cross-functional leadership, setting the technical direction, and ensuring our machine learning solutions are successfully integrated into production.

Responsibilities

• Lead the machine learning team in building and deploying advanced models, with emphasis on time-series analysis and computer vision.
• Manage, mentor, and scale a high-performing team of machine learning and computer vision engineers and researchers.
• Translate company goals and product needs into clear ML/CV roadmaps and project plans.
• Collaborate with engineering, product, and infrastructure teams to ensure smooth integration of ML models into our platform.
• Own the end-to-end ML lifecycle including problem definition, data strategy, modeling, validation, deployment, and monitoring.
• Promote strong engineering practices in model development, including reproducibility, versioning, and evaluation.
• Monitor real-world model performance and guide continuous improvement.
• Stay up to date with the latest research and industry advancements in ML and AI.
• Communicate clearly with both technical teams and non-technical stakeholders, including executives and product leaders.
• Create a culture of innovation, quality, and accountability within the ML organization.

• 8 or more years of experience in applied machine learning, including 3 or more years in a team leadership role.
• Demonstrated success deploying ML models in production, ideally in time-series, biosignal, or behavioral data applications.
• Strong technical expertise in machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Solid understanding of ML system design, architecture, and best practices for deployment and maintenance.
• Ability to transform research insights into scalable, reliable production solutions.
• Familiarity with MLOps tools and infrastructure, including model versioning, monitoring, and CI/CD workflows.
• Excellent communication skills, with experience presenting technical content to leadership and cross-functional partners.
• Experience working within regulated environments such as healthcare or finance is a plus.

Bonus Points

• Experience leading ML initiatives in startups or fast-paced product environments.
• Background in signal processing or behavioral science.
• Familiarity with probabilistic modeling or Bayesian inference.
• Knowledge of mobile deployment of ML models and edge inference.
• Exposure to clinical validation, FDA pathways, or ISO standards in machine learning.

• The freedom and trust to define your role as we design, build, and ship our products
• Competitive salary and stock option plan
• Flexible paid time off (vacation, sick leave, and public holidays)
• Flexible schedules
• Company health care plan
• Medical, dental, and vision insurance
• Short and long term disability insurance
• Life insurance policy
• 401k
• Commuter benefits for parking, public transit, carshares, etc.
• Mothers' room
• Fully stocked kitchen
• Opportunities for continuing education

Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.