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Key job responsibilities
- Research vision - Where should we be focusing our efforts in this rapidly developing field
- Research delivery – Proving/dis-proving strategies in offline data or in the lab to maximize progress and deliver results
- Production studies - Insights from production systems and dataA day in the life
Every day you will be interacting with scientists and engineers based in Seattle, Boston, and Arlington. You will be interfacing with engineers and scientists building and deploying production systems, and you will interact with the team managing our data lake. You will be connecting the dots by finding the most effective way to exploit our data to impact production. Communication is essential, as well as making quick decisions and moving ahead as quickly as possible to try out ideas, discard the ones that don’t work, and leaning into those that do.
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
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