AI Engineer

This is a fully remote position, open to applicants in California, +4 more locations.

📋 Description

• Establish the technical strategy and architecture for vision models encompassing detection, VLM, and VLA tasks.

• Train, fine-tune, and adapt models using proprietary data, which includes distillation, quantization, and LoRA-style adjustments.

• Create pipelines for labeling, auto-labeling, active learning, and synthetic or simulated data.

• Develop benchmarks, regression suites, failure-mode analyses, and online metrics connected to product outcomes.

• Deploy models to production while adhering to latency, memory, and cost constraints on cloud GPUs and edge devices.

• Lead technical projects across teams, compose design documents, review code and models, and mentor engineers.

• Monitor the research landscape, assess potential technologies, and transform them into prototypes and products.

⛳️ Requirements

• Over 5 years of experience in building and deploying ML systems, particularly in computer vision.

• BS/MS/PhD in Computer Science, Electrical Engineering, or a related discipline, or equivalent experience.

• In-depth practical experience with object detection and segmentation, including training, tuning, and deployment in production.

• Practical experience with VLMs, focusing on fine-tuning, prompting, grounding, and evaluation.

• Experience with VLAs or embodied and robot-learning models, or a proven track record in related multimodal projects.

• Strong proficiency in PyTorch, along with expertise in distributed training, mixed precision, and GPU profiling.

• Proven history of transitioning models from research to production, encompassing optimization, inference serving, monitoring, and responding to real-world challenges.

• Demonstrated staff-level influence, including setting direction among teams and making decisions on build versus adopt.

• Excellent written and verbal communication skills with engineers, researchers, and product leaders.

• U.S.-person status or export authorization may be necessary for specific ITAR-regulated projects.

🏝️ Benefits

• Equity participation in a rapidly growing AI startup.

• Comprehensive health, dental, and vision insurance coverage.

• Flexible paid time off (PTO).

• Opportunities for professional development.

• A remote-first culture supported by modern collaboration tools.