Senior Machine Learning Engineer

Description

The AI Engineering group at the company has an open role in Sunnyvale, CA for a Senior Machine Learning Engineer focused on computer vision, deep learning, generative AI and robotics, helping build technology for next-generation robot-assisted surgery platforms.

The team is newly formed and small, with a high-energy, focused pace. You will start new research directions, hold research to a high standard, and share both responsibility and reward with the group.

The role offers a challenging problem-solving setting where you can put your knowledge to work.

Responsibilities

• Lead research, design and implementation of AI algorithms for computer vision (image and video analysis), multimodal data and action models.
• Work on surgical AI and robotics pipelines, integrating and testing vision action (VA) and vision language action (VLA) models and finding where their accuracy falls short.
• Lead the creation of techniques and infrastructure, taking ideas through to working prototypes and products.
• Contribute to research projects building algorithms and systems in computer vision, robotics and multimodal data fusion.
• Push the state of the art forward, including patents and publications.
• Build validation methods, datasets, pipelines and evaluation metrics that show the approach scales to large clinical datasets.
• Help integrate new ML and CV algorithms into current and future robotic platforms.
• Work with users and clinical advisors to refine prototypes using their feedback and performance results.
• Build new technologies and digital products that improve the performance of surgeons and surgical teams on robotic platforms.
• Support academic collaborations in related fields.

Requirements

• Either a Master's degree with at least 6 years of industry experience building computer vision and machine learning applications, or a PhD in computer science, electrical and computer engineering or a related field with at least 3 years of experience.
• Strong experience building learning systems end to end: data collection, training, evaluation and iterative improvement.
• A strong publication record at conferences such as CVPR, ICCV and MICCAI.
• Strong hands-on experience with at least one mainstream deep learning framework, such as TensorFlow or PyTorch.
• Proficiency in Python and C/C++, plus hands-on shell scripting.
• Familiarity with control systems, robotics, kinematics and dynamics.
• Strong engineering practice, debugging and profiling skills, and familiarity with multi-threaded programming.
• Strong hands-on experience with GPU-accelerated algorithms and implementations.
• Strong hands-on experience with state-of-the-art AI models, VFMs or vision action models.
• Excellent written and verbal communication.
• Comfortable with early-stage product exploration and iterating when requirements are incomplete.
• Solid understanding of computer vision, machine learning, generative models and deep learning.
• Experience with visualization tools is a plus.
• Self-starter who works well in a collaborative, results-driven setting.
• Able to travel domestically and internationally, 5-15% of the time.
• Able to watch live and recorded surgical procedures.

Conditions

The company or its customers may require proof of current vaccination against certain diseases, including COVID-19. Requirements vary by role.

Some roles are subject to U.S. export controls under the Export Administration Regulations (15 CFR §743.13(b)), which may apply to nationals of countries under embargo or sanctions. Where a role is controlled, any offer depends on an approved export license and/or a Technology Control Plan (TCP) being in place before the start date. A license can take 3 to 6+ months, and a TCP typically adds 2 weeks to hiring.

Applicants with arrest or conviction records are considered in line with fair chance laws.

Candidates who do not live, and do not plan to live, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina or Tennessee get preference.

The job level may differ from the one listed, depending on business need and the selected candidate's experience, knowledge and skills. Pay is based mainly on that final job level and the candidate's qualifications, within the law.