Senior Machine learning Scientist

Lytx, Inc.; Bengaluru Urban; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Lytx, Inc. is seeking a Senior Machine Learning Scientist to join our Applied Machine Learning Team in Bengaluru, India. You will develop and optimize ML and computer vision algorithms to enhance driver safety and risk assessment. Collaborating with product teams, you will handle the complete lifecycle of DL/ML models, ensuring high accuracy and reduced latency.

The ideal candidate holds a Bachelor’s, MS or PhD in a quantitative field, with over 7 years of applied ML experience. Strong python skills and familiarity with cloud ML platforms are essential. Join us in making roadways safer!

Qualifications

• 7+ years of applied ML experience, including production model development.
• Proven experience with distributed training at scale.
• Strong communication skills to present complex technical work.

Responsibilities

• Collaborate with product teams throughout the entire ML feature lifecycle.
• End-to-end development of DL/ML models.
• Develop and optimize cloud/Edge deployment of DL/ML service.

Skills

Applied ML experience

Cloud ML platforms (AWS preferred)

Strong Python skills

Computer vision (object detection, classification)

Experience with SQL

Education

Bachelor’s, MS or PhD in CS, Statistics, EE, or related field

Tools

MLOps tooling

C++/CUDA

Job description

Why Lytx?: As our Sr Machine Learning Scientist, 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.

What You’ll Do:

• Collaborate closely with product teams throughout the entire ML feature lifecycle, from defining requirements to delivering value to clients.
• End-to-end development of DL/ML models – prototyping, formulation, data engineering, model training, etc.
• Implement, debug, and improvise DL/ML models.
• Develop and optimize cloud/Edge deployment of DL/ML service.
• Other duties as assigned.

What You’ll Need:

• Bachelor’s, MS or PhD in CS, Statistics, EE, or a related quantitative field.
• 7+ years of applied ML experience, including production model development in a commercial setting.
• Proven experience with distributed training at scale — multi‑GPU/multi‑node training, memory optimization, gradient checkpointing, mixed‑precision training.
• Strong experience managing large‑scale ML datasets — storage architecture, versioning (DVC, LakeFS, or custom), sampling strategies, and data quality workflows at terabyte scale.
• Solid computer vision background: object detection, classification, video understanding, or multi‑task models.
• Experience with cloud ML platforms (AWS preferred) and MLOps tooling.
• Strong Python skills; familiarity with C++/CUDA or other performance‑oriented tooling is a plus.
• SQL proficiency and comfort working with large‑scale structured data (Redshift, Snowflake, or similar).
• Track record of independently driving ambiguous problems to clear technical outcomes.
• Strong communication skills; ability to present complex technical work to non‑specialist stakeholders.

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 [e-mail]. 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.

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.

Private Notice: Please see Lytx’s Global Human Resources Privacy Statement for more information related to Personal Information we process and store related to our applicants.