Senior Applied Scientist, ML

Summary

Join Sama's R&D team as an Applied ML Scientist and work with a talented team to advance the Sama annotation platform. You will develop and productize technology to analyze images, videos, and Lidar systems, driving the company's machine learning technology from research to production. Collaborate with clients, advising on best practices for model training and evaluation. Define and articulate the vision for ML initiatives, creating a roadmap with product and engineering teams. This role requires a postgraduate degree in a related field, research experience in machine learning and computer vision, and experience with deep learning frameworks. The ideal candidate possesses strong communication and collaboration skills and strategic thinking abilities. Sama offers competitive compensation and benefits packages, including medical, dental, vision, and life insurance, as well as holiday and vacation policies, professional development stipends, and a paid sabbatical program.

Requirements

• Postgraduate degree in Computer Science, Electrical Engineering, or related field
• Research experience in machine learning, computer vision, or large language models
• Experience with data annotation and preparation
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• 5 years of experience in specific Machine Learning related roles
• Demonstrates excellent communication skills, with the ability to effectively explain AI concepts in a way that allows stakeholders (internal and external) to understand the value of machine learning and generate actionable insights
• Strong communication and collaboration skills; able to align diverse stakeholders around a shared vision
• Proven strategic thinking ability, with experience developing and implementing multi-phase plans
• Ability to balance day-to-day technical work with big-picture planning and long-term sustainability

Responsibilities

• Develop and productize our technology to analyze, characterize and process images, videos, textual information and Lidar point clouds
• Drive forward our machine learning technology offering, from research to productization
• Advise clients on the best practices to train and evaluate their models in order to achieve the best performance and drive value for their companies
• Define and articulate the vision for ML initiatives aligned with organization goals, which would help define a roadmap in conjunction with product and engineering teams

Preferred Qualifications

• Contribution to research communities and/or efforts, including publishing papers at conferences such as NeurIPS, ICML, CVPR, ICLR, etc
• Familiarity with ML Ops and software engineering, in general
• Comfortable working with a distributed team
• Comfortable mentoring junior members of the team

Benefits

• Medical, dental, vision, and life insurance
• Holiday and vacation policies
• Professional development stipends
• A paid sabbatical program