Data Scientist

• Build, train, and optimize ML model architectures to improve performance and scalability.
• Develop and deploy machine learning models aligned with program and product objectives.
• Research, evaluate, and refine sensor processing algorithms under the direction of the Lead Data Scientist.
• Enhance sensor data collection, transformation, and annotation pipelines.
• Innovate methods for real-world data acquisition and labeling.
• Train, test, and evaluate models; document findings and propose improvements.
• Work with cross-functional teams to define, develop, and integrate models and data processing pipelines.

Must-Have Skills & Experience

• Hands-on experience with computer vision and deep learning projects.
• Strong understanding of deep learning algorithms and architectures (CNNs, object detection, segmentation, etc.).
• Proficiency in Python and experience with C/C++ for performance-critical tasks.
• Expertise with ML frameworks: PyTorch, TensorFlow, Keras.
• Proficiency with data libraries: NumPy, Pandas.
• Experience training models with real-world data, including data collection and annotation.
• Experience optimizing models for edge computing (quantization, pruning, ONNX, TensorRT).
• Familiarity with MLOps tools or workflow automation (e.g., MLflow, Weights & Biases, Airflow).
• Ability to analyze datasets, interpret model performance, and debug ML workflows.
• Experience with automated training and testing pipelines.
• Strong analytical and problem‑solving skills with the ability to explain findings clearly.
• Excellent written and verbal communication skills.

Nice-to-Have Skills

• Knowledge of sensor fusion, time-series data, or other advanced signal processing techniques.
• Experience with SageMaker, Bedrock
• Experience deploying models into production‑grade systems or embedded devices.
• Exposure to cloud platforms (AWS/GCP/Azure) for ML training or deployment.
• Experience working in a startup environment, adapting to fast‑paced and evolving requirements.

Qualifications

• MS or PhD in Machine Learning, Data Science, Computer Science, Engineering, Applied Math, or a related field.
• Passion for working with real‑world data and deploying models into production environments.
• This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be U.S. citizens or lawful permanent residents (Green Card holder).

Why Join Us

• Contribute directly to the core AI technology at a high‑growth startup.
• Work on cutting‑edge ML challenges with real‑world impact.
• Collaborate with a skilled, multidisciplinary team of engineers and scientists.
• Enjoy a culture that values creativity, experimentation, and technical excellence.
• Competitive compensation with opportunities for rapid growth and ownership.