Senior Machine Learning Engineer

Qualifications:

• You take full ownership of the problem, starting with a fundamental understanding of the 'Why' from first principles. You are quick to iterate on hypotheses and dive into novel research, just as you are ready to tackle hands-on data cleaning issues. Your actions are geared towards actively supporting product deployment in the field. You recognize that speed is critical, and maintaining our users’ trust is paramount.
• MS or equivalent experience in Computer Science, Data Science, Mathematics, Statistics, Physics, or related field. PhD or equivalent experience preferred. Candidates still in their graduate program will be considered.
• Strong proficiency in at least one popular ML framework, e.g. Tensorflow or Pytorch.
• Strong proficiency in coding and data science.
• End-to-end proficiency at the model engineering process -- from data acquisition, storage, processing, and interface design, to model architecting and training, to local or cloud model deployment.
• Proficiency in Probability Theory and other mathematical areas relevant to ML
• A demonstrable track record of high-quality work in architecting and training neural networks. The ideal candidate will have a publication record demonstrating the ability to make novel contributions.
• Significant experience with computer vision, object detection, self-supervised learning, multimodal sensor fusion, and/or zero-shot learning.
• Experience with robust models & out-of-distribution data at test time.
• Excellent communication skills, and the ability to work effectively in a team.

Requirements:

• Ability to travel 10% - 20% of the time
• Onsite/Hybrid only 
• US Citizenship and eligibility for a Secret security clearance is required; an active Top Secret clearance is strongly preferred

Benefits:

• Full medical, dental, and vision benefits
• Discretionary PTO
• Paid Parental Leave
• Performance Bonuses 
• Catered lunch