bengaluru karnataka deep learning engineer researcher Jobs – 121 Open Jobs Today

ML Research Engineer (Inference)
Cerebras Systems —Bengaluru, Karnataka
- Computer Science
- Master's degree
- C++
R&D Engineer, Staff (PD, PnR, CTS)
Synopsys —Bengaluru, Karnataka
- B.Sc
- Master's degree
- Electrical experience
- Health insurance
Staff Machine Learning Engineer- I
InMobi —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
8d
Staff Software Engineer - AI I
Thomson Reuters —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
- Work from home
HFT Quantitative Research and Trading
DeepFin Research —Bengaluru, Karnataka
- C++
- Python
- Analytics
Staff Machine Learning Engineer- I
glance —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
AI Research Scientist
Motorola Solutions —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- C++
Computational Chemometrics Researcher
Shell —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Machine learning
2d
Senior Researcher - Multimodal Lab
Dolby —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Machine learning
Research Engineer - NLP
Bosch Group —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Java
Quick apply
STEM Educator – Astronomy & Astrophysics
Young Innovators Educational Services Pvt Ltd —Vijayanagar, Bengaluru, Karnataka
- ₹15,000 - ₹30,000 a month
- Overnight shift
- Data analysis skills
- Laboratory experience
- English
Quick apply
8d
AI/ML Computational Science Assoc Mgr
Accenture —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- English
- Master's degree
Gen AI Workflow Designer
DNEG —Bengaluru, Karnataka
- JavaScript
- AI
- Python
Hands On AI Engineer (NLP)
Technix India Solutions —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
HFT Options Quantitative Researcher
DeepFin Research —Bengaluru, Karnataka
- Doctoral degree
- Research
- Master's degree
Senior AI/ML Engineer
Optum —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Research
- Health insurance
AI Research Scientist
RDAlabs —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Research
Product Designer
ArtPark - I-Hub for Robotics and Autonomous Systems Innovation Foundation —Bengaluru, Karnataka
- Full-time
- Machine learning
- Travel
- AI
HFT Software Engineer
DeepFin Research —Bengaluru, Karnataka
- C++
- Linux
- Communication skills
Principal Machine Learning Engineer
Ema —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Java

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ML Research Engineer (Inference)

Cerebras Systems
Bengaluru, Karnataka

Apply Now

Job details

Internship

Qualifications

Image processing
Computer Science
PyTorch
Computer vision
Master's degree
C++
C
Bachelor's degree
Machine learning
Deep learning
Natural language processing
Computer networking
Linux
AI
Python

Full job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

About The Role

As a Research Engineer on the Inference ML team at Cerebras Systems, you will adapt today's most advanced language and vision models to run efficiently on our flagship Cerebras architecture. You'll work alongside ML researchers and engineers to design, prototype, validate, and optimize models, gaining end-to-end exposure to cutting-edge inference research on the world's fastest AI accelerator.

You will focus on pushing the frontier of speculative decoding, large-model pruning and compression, sparse attention, and sparsity-driven techniques to deliver low-latency, high-throughput inference at scale.

Responsibilities

Implement and adapt transformer-based models (NLP and/or vision) to run on Cerebras hardware
Assist in optimizing models for inference performance (latency, throughput)
Run experiments, analyze results, and support model improvements
Help bring up and validate models on the Cerebras system
Debug and troubleshoot model or system issues with guidance from senior team members
Support profiling and performance analysis using internal tools
Collaborate with cross-functional teams (ML, software, hardware) on model integration

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
1–3 years of experience in software engineering or machine learning in a similar capacity (internships count)
Experience with Python and at least one ML framework (e.g., PyTorch, Transformers, vLLM or SGLang)
Understanding of deep learning concepts (e.g., neural networks, transformers)
Experience with Generative AI and Machine Learning systems
Strong programming skills in Python and/or C++

Preferred Qualifications

Experience with speculative decoding, neural network pruning and compression, sparse attention, quantization, sparsity, post-training techniques, and inference-focused evaluations.
Exposure to large language models or computer vision models
Experience running experiments or tuning models
Familiarity with tools like PyTorch, Hugging Face Transformers, or similar
Basic understanding of performance concepts (e.g., latency, throughput)
Experience working in Linux environments

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.

Publish and open source their cutting-edge AI research.

Work on one of the fastest AI supercomputers in the world.

Enjoy job stability with startup vitality.

Our simple, non-corporate work culture that respects individual beliefs.

Apply Now

Refine Your Search

deep learning engineer researcher jobs in bengaluru karnataka

ML Research Engineer (Inference)

R&D Engineer, Staff (PD, PnR, CTS)

Staff Machine Learning Engineer- I

Staff Software Engineer - AI I

HFT Quantitative Research and Trading

Staff Machine Learning Engineer- I

AI Research Scientist

Computational Chemometrics Researcher

Senior Researcher - Multimodal Lab

Research Engineer - NLP

STEM Educator – Astronomy & Astrophysics

AI/ML Computational Science Assoc Mgr

Gen AI Workflow Designer

Hands On AI Engineer (NLP)

HFT Options Quantitative Researcher

Senior AI/ML Engineer

AI Research Scientist

Product Designer

HFT Software Engineer

Principal Machine Learning Engineer

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