Senior Applied Scientist, ML

Summary

Join Sama's R&D team as an Applied ML Scientist and contribute to building integrated solutions for complex ML problems. Collaborate with researchers, engineers, and annotation associates to advance Sama's annotation platform, empowering customers and annotators to efficiently extract features from various data types. Leverage your expertise in machine learning to improve core ML technology and define the company's ML strategy. You will develop and productize technology for analyzing images, videos, text, and Lidar data, driving forward the machine learning technology offering. Advise clients on best practices for model training and evaluation, and define the vision for ML initiatives aligned with organizational goals. This role requires a strong background in machine learning and a commitment to delivering compelling solutions in a lean, self-driven environment.

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