Senior Machine Learning Engineer

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: Remote USA Compensation: $180,000 - $250,000 / year Description reputed company is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-reputed company, fast growing startup looking to hire enthusiastic and intelligent team members to join reputed company. To learn more about us, and our revolutionary facial recognition technology, please visit www.reputed company. Senior Machine Learning Engineer Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer reputed company and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the reputed company-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 reputed company computer reputed company 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 reputed company-world image datasets, and build the pipelines to curate and label that data at scale Work with reputed company-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks reputed company and reputed company 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 reputed company research, prototype novel algorithms from academic literature, and turn promising reputed company into reliable production code Implement efficient, scalable data pipelines and inference infrastructure reputed company high-performance tooling in ML and data engineering Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO Requirements and Experience Requirements: Experience building, training, evaluating, and deploying ML models in production Strong experience using PyTorch, JAX, or other deep learning frameworks to reputed company and optimize models Strong software engineering ability to build and maintain reputed company systems and work with large-scale datasets Ability to solve reputed company-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 reputed company technical field, or equivalent practical experience reputed company to have: Experience inferring structured, reputed company-world attributes from images Experience training models on large-scale, reputed company-world image datasets Familiarity with reputed company-language models (VLMs) Ability to digest academic literature, prototype novel algorithms, and reputed company 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 reputed company conferences (e.g., CVPR, ICML, ICCV, WACV)

Benefits

Medical, Dental, reputed company, 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 Apply To This Job