Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Washington.

📋 Description

• Develop, train, assess, and implement computer vision and multimodal models, advancing them from initial prototypes to full production.

• Create systems that deduce structured attributes and spatial context from images by integrating learned models with geometric and heuristic reasoning.

• Train and refine models using extensive and varied real-world image datasets, while establishing the necessary pipelines for data curation and labeling at scale.

• Collaborate with vision-language models (VLMs) and construct robust evaluation frameworks to gauge their accuracy on our specific tasks.

• Create and evaluate high-performance image retrieval functionalities utilizing embedding models and vector indexing methodologies.

• Enhance models for inference speed and throughput by employing techniques such as distillation, quantization, and GPU acceleration.

• Review current research, prototype innovative algorithms derived from academic literature, and convert promising concepts into dependable production code.

• Execute efficient, scalable data pipelines and inference infrastructure.

• Build high-performance tools in machine learning and data engineering.

• Undertake additional duties and responsibilities as reasonably requested by the employee’s supervisor or CEO.

⛳️ Requirements

• Proven experience in building, training, evaluating, and deploying ML models in a production environment.

• Strong proficiency in using PyTorch, JAX, or other deep learning frameworks to develop and enhance models.

• Solid software engineering skills to construct and maintain complex systems while working with large-scale datasets.

• Capable of addressing open-ended challenges and rapidly acquiring knowledge in new domains.

• Comfortable with substantial ownership and autonomy, making practical trade-offs between model complexity, speed, inference, and business constraints.

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.

• Nice to have: Experience in inferring structured, real-world attributes from images.

• Experience in training models on large-scale, real-world image datasets.

• Familiarity with vision-language models (VLMs).

• Ability to comprehend academic literature, prototype innovative algorithms, and bridge the gap between research and production code.

• Experience in building LLM or VLM pipelines and the evaluation frameworks to assess their performance.

• Experience in an ML role at a growth-stage startup.

• Publications in prominent ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV).

🏝️ Benefits

• Medical, Dental, Vision, STD and LTD Plans.

• FSA - Medical and Dependent Care.

• EAP and wellness programs.

• 13 Paid Holidays.

• Unlimited PTO.

• Flexible work environment - 100% remote.

• 401(k) plan.