Software Engineering Intern (MS/PhD, Sim-Realism ML Infrastructure)

• Contribute to existing projects maintaining millions of multi-modal examples and PiBs of feature data
• Implement new systems to improve existing workflows
• Work with users and agents to identify use cases and flows that can be improved

Benefits

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
• Access to mental health apps
• Onsite wellness centers
• Medical advocacy program for transgender employees
• Counseling services
• Support programs including menopause benefit
• Second medical opinion for you and your loved ones
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• Annual cross-company compensation review and pay equity analysis
• 1-on-1 financial coaching
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Survivor income benefit
• Backup childcare
• Elder care and support
• Caregiver leave
• Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
• Jury duty leave
• Military leave
• Hybrid work model with remote work opportunities also available
• Educational reimbursement
• Peer learning and coaching platform
• Donation matching programs
• Volunteer hours
• Employee resource groups
• Internal community groups and local culture clubs
• Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
• On-site meals and snacks
• Fitness centers, massage programs, and ergonomic support
• On-demand fitness, wellbeing, and cooking classes
• Commuter benefits

• Currently enrolled in a Master’s or PhD program in Computer Science, or a related technical field
• Distributed Systems
• Python / C++ Coding
• Familiarity with ML training and inference lifecycles
• Hands on experience with feature extraction, feature representations, distributed storage
• Experience with autonomous driving and / or robotics
• Experience with deep learning frameworks, TensorFlow, Jax

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