Machine Learning Scientist I

The typical Lytx interview experience involves technical interviews and a HR round. The technical interviews are challenging and require a strong understanding of machine learning and deep learning concepts. The company values problem-solving skills, logical reasoning, and coding abilities.

Lytx has a collaborative and fast-paced work environment. The company values innovation, responsibility, and customer satisfaction. Employees are encouraged to grow their careers and make a real impact in the industry.

Bachelor's or Master's degree in CS, EE, ECE, or a related field. 0–2 years of experience (including internships or academic work) in ML or DL. Hands-on experience with at least one DL framework (PyTorch or TensorFlow). Proficiency in Python; familiarity with C/C++. Strong foundations in mathematics, probability, statistics, and algorithms. Solid understanding of core ML concepts (supervised/unsupervised learning, model evaluation, regularization, etc.). Strong analytical and problem-solving skills; ability to thrive in a collaborative, fast-paced environment.

Round 1: Technical Interview → Round 2: Technical Interview → Round 3: HR (based on company knowledge)

Lytx is a leading provider of video telematics, analytics, safety and productivity solutions for commercial and public sector fleets. Our unrivaled Driver Safety Program, powered by our best-in-class DriveCam Event Recorder, is proven to help save lives and reduce risk. We harness the power of video to help clients see what happened in the past, manage their operations more efficiently in the present and improve driver behavior to change the future. Our customizable services and programs span driver safety, risk detection, fleet tracking, compliance and fuel management. Using the world’s largest driving database of its kind, along with proprietary machine vision and artificial intelligence technology, we help protect and connect thousands of fleets and more than one million drivers worldwide. For more information, visit www.lytx.com, @lytx on X, LinkedIn, our Facebook page or YouTube channel. As our Machine Learning Engineer, you will join our Applied Machine Learning Team in India, who develops machine learning and computer vision algorithms to monitor and assess the state of drivers and their environments to identify risk and improve safety for our clients. You will contribute to all aspects of the DL/ML model development and deployment cycle to improve the accuracy and throughput at reduced latency to help enhance and differentiate us as the leader in the Video Safety and Telematics industry. If this sounds like you, we encourage you to apply! You will be responsible for developing ML/DL models end-to-end — problem formulation, data engineering, prototyping, training, evaluation, and iteration. You will implement, debug, and improve DL models using frameworks such as PyTorch or TensorFlow. You will optimize & deploy models on cloud/edge and continuously improve models using large scale field data. You will leverage GenAI tools and LLM APIs (e.g., Claude) to build solutions for internal and customer-facing use cases. You will build and iterate on prompt engineering workflows, RAG pipelines, and LLM-powered applications along with AI agents for task/workflow automation. You will communicate findings and technical trade-offs to internal teams. At Lytx, our mission is to protect a world in motion, and we do it by building technology and partnerships that help keep people safe on the road. The way we work is guided by our shared values: Deliver for the customer, Responsibility in every outcome, Innovate with purpose, Velocity with excellence, and Elevate each other. If you’re looking for meaningful work, a team that challenges and supports you, and the chance to grow your career while making a real impact, we’d love to meet you. Together, we’re helping make roadways safer and saving lives!