Machine Learning Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

You will...

• Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects.
• Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
• Implement and improve machine learning training and inference pipelines.
• Make iterations on the models for improvements.
• Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models.

Qualifications:

• MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
• Solid coding proficiency in Python or C++.
• Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts.
• Experience in software architecture, system performance, latency and data flow. 
• Experience in Machine Learning.
• Understanding of parallel machine learning training and model deployment (e.g., TensorRT conversion).
• Ability to productionize machine learning models. 
• Experience building software solutions on cloud infrastructure.
• Ability to rapidly prototype and test new algorithms.
• Solid problem solving skills using linear algebra, geometry, statistics & probability.
• Open-minded and collaborative team player with willingness to help others.
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:

• Experience designing and implementing tools for automated model tuning and hyper-parameter optimization, as well as experiment analysis.
• Experience in Deep learning frameworks such as PyTorch and TensorFlow.
• Experience with automated testing.
• Experience working in an Agile/Scrum environment.

Perks/Benefits:

• Competitive compensation and equity awards.
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
• Unlimited Vacation.
• Flexible hours and Work from Home support.
• Daily drinks, snacks and catered meals (when in office).
• Regularly scheduled team building activities and social events both on-site, off-site & virtually.
• As we grow, this list continues to evolve!