Overview
Machine Learning Engineer (Remote, US Time - PST)
Full-Time
Drive Innovation. Save Lives. Join Street Simplified.
Street Simplified is a mission-driven company using advanced video analytics to help public agencies understand and prevent traffic crashes. By combining innovation with public safety, we aim to save lives on the road—and we’re looking for a talented Machine Learning Engineer to join our remote team and help us make an impact.
Key Responsibilities:
- Develop innovative machine learning solutions to reduce traffic incidents and improve public safety.
- Contribute to our core platform by building features, maintaining code quality, and ensuring long-term scalability.
- Design and deploy robust testing and production systems for real-world applications.
Qualifications:
- Experience handling large datasets (100GB+).
- Solid understanding of clean code principles, version control, documentation, and testing.
- Strong problem-solving skills, particularly in mathematical and physics-based domains.
- Proficient in Python; experience with C/C++ is a plus.
- Hands-on experience with AWS in a production setting.
Expertise in at least one of the following:
- Machine Learning & Data Science
- Real-Time Edge Computing (preferably with NVIDIA hardware)
- Statistical Analysis & Optimization
- Neural Network Training
- Classical Computer Vision
- Signal Processing & Algorithm Development
Preferred Background:
- Master’s or PhD in Computer Science, Electrical Engineering, Physics, or a related field.
- Demonstrated success solving complex technical problems across disciplines.
- Strong programming and multitasking abilities.
- Excellent written and verbal communication skills in English.
Why Work With Us?
- Contribute to a mission that saves lives.
- Join a collaborative, purpose-driven team.
- Enjoy flexible remote work hours aligned with Pacific Time.
- Receive competitive pay and opportunities for professional growth.
Ready to make a difference with your skills?
Apply today and be part of a team working to create safer streets for everyone.
Job Type: Full-time
Pay: ₹117,520.00 - ₹134,300.00 per month
Benefits:
- Flexible schedule
- Paid sick time
- Paid time off
- Work from home
Schedule:
- Monday to Friday
- US shift
Supplemental Pay:
- Overtime pay
- Performance bonus
- Yearly bonus
Education:
- Master's (Required)
Experience:
- Machine learning: 1 year (Preferred)
Work Location: Remote
Expected Start Date: 09/05/2025