Researcher, Vision

Neara

India

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+

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Job summary

A leading AI research company in Bengaluru seeks a Researcher in Vision to work on vision-language model development. You'll engage in designing training methods, investigating data strategies, and building evaluation frameworks for multimodal tasks. The ideal candidate possesses deep knowledge in vision-language models and strong PyTorch skills. Join a dynamic team focused on creating impactful AI solutions that can transform how India learns and communicates.

Qualifications

  • Proven track record of good research through publications or impactful work.
  • Ability to isolate variables and draw defensible conclusions.
  • Experience with multilingual or low-resource language modelling.
  • Proficient with PyTorch; able to run end-to-end experiments.
  • Willingness to work across data, training, and evaluation problems.

Responsibilities

  • Research vision-language architectures including encoders and fusion mechanisms.
  • Design training methods suitable for multilingual VLMs.
  • Investigate data strategies to improve model performance.
  • Create evaluation frameworks and benchmarks for multimodal tasks.
  • Analyze model robustness, failure modes, and interpretability.
  • Collaborate with engineers to prototype quickly and validate at scale.
  • Engage with open-source communities and collaborations.

Skills

Deep understanding of vision-language models
Strong PyTorch skills
Rigorous experimental design
Intellectual range
Broad intellectual range

Education

PhD/Master's in ML, Computer Vision, NLP, or related field

Tools

PyTorch

Job description

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Researcher, Vision

Job type: Full Time · Department: Engineering · Work type: On-Site

Bengaluru, Karnataka, India

About Sarvam

Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.

About the Role

You will work across the full lifecycle of vision-language model (VLM) development — data, training, evaluation, and production. The team's scope will evolve as the field does; we want researchers who are comfortable with that and can lead.

What You'll Do
  • Research vision-language architectures — encoders, fusion mechanisms, pretraining objectives, and scaling behaviour
  • Design training methods (pretraining, SFT, RLHF, DPO) adapted for multilingual VLMs
  • Investigate data strategies — what mixtures, quality signals, and synthetic data approaches actually move the needle
  • Build evaluation frameworks and benchmarks, especially for Indic multimodal tasks
  • Study model failure modes, robustness, and interpretability
  • Work closely with engineers to ensure ideas are testable at scale — prototype fast, then validate properly
  • Engage with the broader research community through open-source contributions and collaborations
What We're Looking For
  • Deep understanding of vision-language models — training dynamics, architecture tradeoffs, and failure modes
  • Track record of good research — through publications, technical reports, or impactful shipped work
  • Rigorous experimental design — able to isolate variables and draw defensible conclusions
  • Strong PyTorch skills — runs experiments end to end
  • Intellectual range — willing to work across data, training, and evaluation problems
Bonus Points
  • PhD/Master's with relevant research experience in ML, Computer Vision, NLP, or related field
  • Research papers published at A/A* venues
  • Experience with multilingual or low-resource language modelling
  • Familiarity with document understanding, OCR, or structured visual prediction
  • Experience with large-scale data curation and its effect on model quality
Why Sarvam?

Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.

  • Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
  • High ownership and high impact, from day one
  • Everything we do is AI-first, from the way we build and ship to the way we think about problems
  • You can work on problems that could change how an entire country learns, works, and communicates

If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.

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