Why Lytx?:
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!
What You'll Do
· Develop ML/DL models end-to-end — problem formulation, data engineering, prototyping, training, evaluation, and iteration.
· Implement, debug, and improve DL models using frameworks such as PyTorch or TensorFlow.
· Optimize & deploy models on cloud/edge
· Continuous improvement of models using large scale field data
· Leverage GenAI tools and LLM APIs (e.g., Claude) to build solutions for internal and customer-facing use cases.
· Build and iterate on prompt engineering workflows, RAG pipelines, and LLM-powered applications along with AI agents for task/workflow automation
· Communicate findings and technical trade-offs to internal teams.
What You'll Need
Required
· 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.
Preferred
· Experience using GenAI tools and LLM APIs (e.g., Claude, OpenAI, Gemini) to build applications or automate workflows, along with familiarity with AI coding tools like Claude Code/GitHub Copilot
· Experience with model deployment tools (ONNX, TensorRT, Docker) or cloud ML platforms.
You’re driven to succeed and so are we. 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!
Lytx, Inc. is proud to be an equal opportunity employer. We’re committed to building a diverse and inclusive workforce and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, gender, genetic information, uniformed service, national origin, age, veteran status, disability, pregnancy, or any other status protected by federal or state law. We are committed to providing reasonable accommodation for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email TA@lytx.com. Lytx conducts background checks on applicants who receive a conditional offer of employment in accordance with applicable local, state, federal and regional laws. Qualified applicants with arrest or conviction records will be considered. Background check results may potentially result in the withdrawal of a conditional offer of employment and will be made in accordance with all applicable local, state, federal and regional laws.