We're seeking an experienced ML Engineer with a strong background in computer vision and time-series modeling. You're skilled at every stage of the ML lifecycle—from defining problems and exploring data, to developing, deploying, and iterating on models. You adeptly balance rigorous modeling with practical software engineering, integrating ML solutions seamlessly into production systems. You understand the nuances between offline metrics and real-world performance, translating complex, abstract problems into actionable ML strategies.

You thrive in ambiguous, fast-paced environments, approaching challenges with curiosity and analytical rigor. Complex, unsolved problems, particularly those involving visual data and behavioral analysis, motivate you. You're passionate about making tangible impacts by taking ownership of projects from initial prototype through production deployment.

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 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.

Requirements

Design, develop, and deploy ML models focused on computer vision and time-series analysis (e.g., semantic segmentation, point-of-gaze tracking, keypoint detection, photoplethysmography, MAMBA, dilated 1D CNNs, sparse attention transformers)
Select optimal architectures and training methods that align with constraints around data collection, annotation quality, timelines, and budgets, such as incorporating semi-supervised and few-shot techniques when applicable
Develop and maintain robust, production-grade ML services supporting critical user workflows
Monitor production model performance, establishing evaluation frameworks that accurately reflect real-world use
Conduct comprehensive exploratory data analyses to guide problem scoping, feature engineering, and model selection
Collaborate closely with platform and infrastructure teams to optimize ML tooling and data pipelines
Translate ambiguous business needs into structured ML problems and actionable technical roadmaps
Identify new data signals, design experiments, and iteratively refine models to maximize user impact
Review, contribute, and maintain high-quality, testable, and well-documented ML pipelines
Lead technical discussions and clearly communicate modeling strategies and outcomes to internal stakeholders
Stay informed on emerging research and tools, integrating them effectively when beneficial

Qualifications

5+ years of applied ML experience, including deploying models to production
Expertise in computer vision and/or time-series modeling, with experience in video or camera-based systems strongly preferred
Strong statistical modeling skills, particularly in extracting signals from noisy datasets
Proficiency in Python and deep learning frameworks (PyTorch, JAX, TensorFlow)
Proven track record of translating academic research into scalable, practical ML solutions
Experience with large-scale data systems, MLOps tooling, and model versioning practices
AbilitComfort managing ambiguity and independently driving projects to completion to clearly communicate technical solutions and their business impact to varied audiences

Additional Qualifications

Expert-level proficiency in Python and at least one deep learning framework (PyTorch, JAX, etc.)
Experience adapting recent research into innovative methods tailored to business needs
Demonstrated creative problem-solving ability, evidenced by patents or novel techniques
Experience managing scientific projects within industry or academia
Excellent written and verbal communication skills, able to bridge technical and non-technical audiences effectively

Extra Points

Direct experience with computer vision or camera/video-based systems
Ownership, deployment, and maintenance of model-serving pipelines in production
Expert-level coding skills focused on clarity, efficiency, and maintainability, complemented by rigorous testing practices
Experience with probabilistic modeling or Bayesian approaches
Familiarity with healthcare, SaMD, or regulated industries, including validation and compliance standards

Our Hiring Process

Phone screening
Testlify Test
Two interviews with Senseye manager and peers
Final interview with David Zakariaie, Senseye CEO
Offer

Target timeline:

Start interviews as soon as candidates complete Testlify
Aim to make an offer within a month or less

Benefits

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.

Senseye, Inc.

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