Senior Machine Learning Engineer

Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.

Responsibilities:

• Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production


• Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning


• Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale


• Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks


• Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies


• Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration


• Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code


• Implement efficient, scalable data pipelines and inference infrastructure


• Develop high-performance tooling in ML and data engineering

Requirements:

• Experience building, training, evaluating, and deploying ML models in production


• Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models


• Strong software engineering ability to build and maintain complex systems and work with large-scale datasets


• Ability to solve open-ended problems and quickly learn new domains


• Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints


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

Nice to have:

• Experience inferring structured, real-world attributes from images


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


• Familiarity with vision-language models (VLMs)


• Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code


• Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance


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


• Publications in major 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