Senior ML Scientist: LLMs, GenAI & Vision

Axon Enterprise; Boston (MA); Hybride; USD 160 000 - 256 000; Plein temps

Avantages offerts par ce poste

401k with employer match

Paid time off

Parental leave

Wellness programs

Office snacks

Résumé du poste

Axon Enterprise is seeking a highly qualified ML Scientist to lead research and development in LLM, MLLM and computer vision. You will mentor juniors and drive end-to-end training pipelines across cloud and embedded platforms, shaping products that impact safety and justice.

The role requires a PhD with extensive post-doctoral experience, proven publications, and strong Python/C++ skills, plus TensorFlow/PyTorch and ROS familiarity. Hybrid Boston area office.

Qualifications

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Responsabilités

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

Connaissances

Python

C/C++

TensorFlow

PyTorch

ROS

Research leadership

Formation

PhD in Computer Science or related field

Outils

CUDA

Git

Linux

Description du poste

Axon Enterprise is seeking a highly qualified ML Scientist to lead research and development in LLM, MLLM and computer vision. You will mentor juniors and drive end-to-end training pipelines across cloud and embedded platforms, shaping products that impact safety and justice.

The role requires a PhD with extensive post-doctoral experience, proven publications, and strong Python/C++ skills, plus TensorFlow/PyTorch and ROS familiarity. Hybrid Boston area office.