Lytx Hiring Machine Learning Scientist I in Bangalore 2026 | Freshers Jobs
Lytx Careers are open for the role of Machine Learning Scientist I at the company’s Bangalore, India office. This is a strong opportunity for fresh graduates and early-career candidates who want to build deep expertise in machine learning, deep learning and computer vision. The official posting is listed under Job ID R-4176 on the Lytx Workday careers portal, and applications are open right now.
If you have been searching for Lytx Machine Learning Scientist Bangalore openings or scanning the Latest IT Jobs 2026 for ML and AI roles, this drive is worth a serious look. Lytx works at the intersection of video telematics, driver safety and AI, so day-to-day work involves real production ML systems and large-scale field data. In this guide you will get a full overview of the role, eligibility, expected salary in India, interview preparation tips and a step-by-step process to apply on the genuine Lytx careers portal.
Job Overview – Lytx Machine Learning Scientist Bangalore
| Field | Details |
|---|---|
| Company | Lytx, Inc. |
| Job Role | Machine Learning Scientist I |
| Job ID | R-4176 |
| Job Category | AI / Machine Learning / Computer Vision |
| Qualification | Bachelor’s or Master’s in CS, EE, ECE or related field |
| Experience | 0 – 2 years (freshers, internships and academic projects accepted) |
| Job Location | Office – Bangalore, India |
| Work Mode | Onsite (office-based) |
| Job Schedule | Full time |
| Estimated Salary (India) | INR 12 – 22 LPA (industry benchmark for ML Scientist I) |
| Posting Date | Posted around late April 2026 |
| Hire Eligibility | Indian candidates eligible to work in India |
| Last Date | Open until filled – apply early |
About Lytx
Lytx is a global leader in video telematics, analytics, safety and productivity solutions for commercial and public sector fleets. The company is best known for its DriveCam Event Recorder and Driver Safety Program, which combine in-vehicle video with machine vision and AI to reduce risk on the road. Lytx operates one of the world’s largest driving databases of its kind and supports thousands of fleets and more than a million drivers worldwide. Joining Lytx as a Machine Learning Scientist means working on AI models that directly impact real-world safety and operational outcomes for global customers.
Job Description
As a Machine Learning Scientist I at Lytx, you will be part of the Applied Machine Learning Team in India. The team develops machine learning and computer vision algorithms that monitor and assess the state of drivers and their surroundings to detect risk and improve safety. You will contribute across the full deep learning and machine learning model lifecycle, from problem formulation and data engineering to prototyping, training, evaluation and deployment. The role also includes working with modern generative AI tools, LLM APIs and agentic workflows to support both internal and customer-facing applications.
Key Responsibilities
- Develop ML and DL models end-to-end, including problem formulation, data engineering, prototyping, training, evaluation and continuous iteration.
- Implement, debug and improve deep learning models using frameworks such as PyTorch or TensorFlow.
- Optimize and deploy models on cloud and edge environments to meet latency and throughput targets.
- Continuously improve models using large-scale, real-world driving data from Lytx fleets.
- Leverage generative AI tools and LLM APIs (for example Claude and other modern LLMs) to build internal and customer-facing solutions.
- Design and iterate on prompt engineering workflows, retrieval augmented generation (RAG) pipelines and LLM-powered applications, including AI agents for task and workflow automation.
- Communicate technical findings, trade-offs and recommendations to product, engineering and business teams.
Eligibility Criteria – Lytx Machine Learning Scientist Bangalore
You Must Have
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Electronics and Communication or a closely related field.
- 0 to 2 years of experience in ML or DL, which can include internships and significant academic project work.
- Hands-on experience with at least one deep learning framework, ideally PyTorch or TensorFlow.
- Strong proficiency in Python; working familiarity with C or C++ is a plus.
- Solid foundations in mathematics, probability, statistics and core algorithms.
- Good understanding of core ML concepts such as supervised and unsupervised learning, model evaluation and regularization.
- Ability to communicate ideas clearly and work in a cross-functional team environment.
Preferred
- Exposure to computer vision tasks such as detection, segmentation or tracking.
- Experience with cloud platforms (AWS, GCP or Azure) and ML pipelines.
- Familiarity with generative AI, LLM APIs, prompt engineering and RAG-based application design.
- Experience optimizing models for edge deployment, quantization or model compression.
- Strong publications, hackathon results or open-source contributions in ML or AI.
Salary in India 2026 – Machine Learning Scientist I
The official posting does not disclose a fixed package, but based on industry benchmarks for similar AI/ML roles in Bangalore, a Machine Learning Scientist I at a global product company like Lytx can typically expect a total compensation range of around INR 12 – 22 LPA. Freshers with strong fundamentals and good academic projects usually land closer to the lower end, while candidates with internships at top AI labs or published research and 1 – 2 years of solid ML experience may push toward the upper band. Final compensation is decided by Lytx based on interview performance, skills and overall fit.
Interview Preparation Tips
Lytx interviews for ML Scientist roles usually combine coding, ML fundamentals, system design and behavioural rounds. Focus your preparation on the following areas:
- DSA: Practice arrays, strings, hash maps, trees, graphs, recursion and dynamic programming. Aim for medium-level problems on LeetCode and similar platforms.
- OOPs and Python: Be solid on classes, inheritance, decorators, generators, Numpy and Pandas. Expect to write clean Python in a live coding round.
- ML fundamentals: Revise bias-variance trade-off, regularization, cross-validation, evaluation metrics (precision, recall, F1, AUC), tree-based models, gradient boosting and basic neural networks.
- Deep learning: Understand CNNs, RNNs/Transformers, optimization (SGD, Adam), batch normalization and common loss functions. Be ready to discuss PyTorch or TensorFlow code from your projects.
- Computer vision and applied projects: Be ready to explain a CV project end-to-end – dataset, preprocessing, model choice, evaluation and deployment trade-offs.
- GenAI and LLMs: Know how prompt engineering, RAG, embeddings and basic agent patterns work. Be able to describe a simple LLM application you have built or studied.
- SQL and data wrangling: Brush up on joins, group by, window functions and writing analytical queries on practical datasets.
- Behavioural: Prepare clear STAR-format answers around teamwork, learning from failure and ownership of ML projects.
How to Apply for Lytx Machine Learning Scientist Bangalore
- Read this full job overview and confirm you meet the eligibility criteria.
- Update your resume to clearly highlight ML/DL projects, internships, Python skills and any GenAI or LLM exposure.
- Click the official Apply Now link below and you will be redirected to the Lytx careers portal on Workday.
- Sign in or create an account on Lytx Workday and search for Job ID R-4176 – Machine Learning Scientist I.
- Fill in your personal and professional details, upload your resume and submit the application.
- Keep an eye on your email for further communication from the Lytx Talent Acquisition team.
Official Apply Link: Apply Now on Lytx Workday Careers (Job ID R-4176)
Disclaimer: Always apply for the Lytx Machine Learning Scientist Bangalore role only through the official Lytx Workday careers domain shown above. Lytx and itreferraljobs.in never ask for any payment, fees or sensitive financial information from job seekers at any stage of the hiring process.
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FAQs – Lytx Machine Learning Scientist Bangalore
Q1. Who is eligible for the Lytx Machine Learning Scientist I role in Bangalore?
Candidates with a Bachelor’s or Master’s degree in CS, EE, ECE or a related field and 0 to 2 years of ML/DL experience (including internships and academic projects) are eligible.
Q2. Can fresh graduates apply for this Lytx hiring drive?
Yes. Lytx explicitly considers 0 – 2 years of experience, which includes internships and strong academic ML projects, making this a fresher-friendly role.
Q3. What is the job location and work mode?
The role is based at the Lytx office in Bangalore, India and is an onsite, full-time position.
Q4. Which programming languages and tools should I be strong in?
Python is essential. Hands-on experience with PyTorch or TensorFlow is required, and familiarity with C or C++, SQL and GenAI/LLM tools is a plus.
Q5. What is the expected salary for Machine Learning Scientist I at Lytx India?
Industry benchmarks suggest a total compensation range of around INR 12 – 22 LPA in Bangalore, with the final number depending on interview performance and overall fit.
Q6. What does the Lytx selection process usually look like?
Typically a resume screen, an online coding/ML assessment, one or two technical rounds focused on ML, DL and projects, and a final behavioural round with hiring managers.
Q7. Do I need to pay any fees to apply for this Lytx job?
No. Lytx never asks for any payment, deposit or fees from candidates. Apply only via the official Workday careers link.
Q8. Where can I officially apply for Job ID R-4176?
Use the official Apply Now link to the Lytx Workday careers portal listed in this article to apply directly.
Conclusion
The Lytx Machine Learning Scientist Bangalore role is a strong launchpad for anyone serious about building a long-term career in AI, ML and computer vision. You will get to work on real production systems, large-scale driving data and cutting-edge GenAI tooling at a company that has a clear impact on global road safety. If you meet the eligibility criteria, apply early through the official Workday link, tighten up your resume and ML fundamentals, and bookmark itreferraljobs.in to stay on top of the latest IT and AI hiring drives across India.
