Burlington, MA

Data Scientist

Key Responsibilities

• 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.

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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.

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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.

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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).

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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.