Machine Learning Scientist I

Lytx’s interview process typically starts with a timed online coding test focusing on data structures, algorithms, and Python basics. Successful candidates move to a technical interview where they discuss past ML projects, solve case‑studies, and answer deep‑learning theory questions. The final HR round assesses cultural fit, communication skills, and motivation. Preparation should include strong DSA practice, clear articulation of ML projects, and familiarity with Lytx’s product domain.

Lytx promotes a collaborative, fast‑paced environment where engineers are encouraged to experiment and innovate. Employees benefit from mentorship, regular knowledge‑sharing sessions, and a healthy work‑life balance supported by flexible timings.

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics & Communication, or related field; 0–2 years of relevant experience (including internships); minimum CGPA 6.5/10 or equivalent; no active backlogs; batch years 2023‑2026 preferred.

Round 1: Online coding test (DSA & Python) → Round 2: Technical interview (ML/DL concepts, system design, project discussion) → Round 3: HR interview (cultural fit, motivations)

Lytx is a global leader in video telematics, analytics, and safety solutions for commercial and public‑sector fleets. With its flagship DriveCam® Event Recorder and a massive driving‑behavior database, the company leverages computer vision and artificial intelligence to turn raw video into actionable safety insights. Headquartered in the United States, Lytx has a strong engineering presence in India, especially in Bangalore, where it builds cutting‑edge machine‑learning models that power its risk‑detection platform. The firm’s mission – “protect a world in motion” – drives a culture of responsibility, innovation, and relentless focus on customer outcomes. As a Machine Learning Scientist I, you will join the Applied Machine Learning Team in Bangalore. The role is designed for fresh graduates or candidates with up to two years of experience who are eager to take ownership of end‑to‑end model development. You will work closely with senior scientists, data engineers, and product managers to translate real‑world video data into robust deep‑learning pipelines that can run both in the cloud and on edge devices. The position offers exposure to the entire lifecycle of AI products – from problem definition and data engineering to model deployment, monitoring, and continuous improvement. **Key Responsibilities** 1. Formulate ML problems, design data pipelines, and prototype solutions using Python. 2. Build, train, and fine‑tune deep‑learning models with PyTorch or TensorFlow for video and sensor data. 3. Optimize models for low latency inference on cloud platforms and edge hardware (ONNX, TensorRT, Docker). 4. Deploy models to production, monitor performance, and iterate using large‑scale field data. 5. Leverage Generative AI tools and LLM APIs (Claude, OpenAI, Gemini) to create internal automation and customer‑facing applications. 6. Design and implement prompt‑engineering workflows, Retrieval‑Augmented Generation (RAG) pipelines, and AI agents for task automation. 7. Conduct rigorous model evaluation, ablation studies, and documentation of results. 8. Collaborate with cross‑functional teams to translate business requirements into technical specifications. 9. Present findings, trade‑offs, and roadmap recommendations to stakeholders. 10. Stay updated with the latest research in computer vision, deep learning, and generative AI. **Tech Stack**: Python, PyTorch/TensorFlow, NumPy, Pandas, OpenCV, ONNX, TensorRT, Docker, AWS/GCP, Claude/ChatGPT APIs, Git, Linux. **Growth Path**: Starting as a Scientist I, high performers can progress to Scientist II, Senior Scientist, and eventually Lead or Principal roles, with opportunities to lead product‑focused AI teams or specialize in research. **Why Join Lytx?** The company offers a purpose‑driven environment where your work directly contributes to road safety. You will gain hands‑on experience with large‑scale video data, cutting‑edge AI tools, and real‑world deployment challenges. Lytx’s inclusive culture, mentorship programs, and focus on continuous learning make it an ideal place for fresh talent to launch a rewarding AI career.