A student from various disciplines can Apply. Interested and eligible candidates can read more details below.


Blaize is a leading provider of a proprietary purpose-built, full-stack hardware architecture and low-code/no-code software platform that enables edge AI processing solutions at the network’s edge for computing in multiple large and rapidly-growing markets — automotive, mobility, retail, security, industrial automation, medical devices, and many others. Blaize’s novel solution solves the technical problem that edge AI processing requires across those verticals — very low latency and high thermal and power efficiency — which previously relied on retrofitting sub-optimized AI solutions designed more for data centers and the cloud. Blaize has previously raised over $180MM from strategic investors such as DENSO, Daimler, Magna, and Samsung, and financial investors such as Franklin Templeton, Temasek, GGV, and others. With headquarters in El Dorado Hills (CA), Blaize has teams in San Jose (CA) and subsidiaries in Hyderabad (India), Manila (Philippines), and Leeds and Kings Langley (UK), with 300+ employees worldwide. www.blaize.com. Follow Blaize on Twitter (@blaizeinc) and LinkedIn (Blaize).


  • Hands on Experience in rapid DL/ML/CV/RL/NLP POC development using python, Tensorflow, Pytorch, Keras, Matlab etc·
  • Demonstrable knowledge of industry-standard design tools and research methodologies in ML/DL domain·
  • Ability to consolidate, distil, and incorporate diverse ideas quickly·
  • Analytical skills, conceptualize ideas, understand, and implement literature
  • Work Independently without supervision.
  • Ability to deliver exceptional results in challenging tasks.
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Verifying data quality, and/or ensuring it via data cleaning and augmentation.
  • Finding available datasets online that could be used for training.
  • Defining the pre-processing or feature engineering to be done on a given dataset.
  • Training models and tuning their hyperparameters, analysing the model’s errors and designing strategies to overcome them.
  • Deploying models to production
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  • BE/BTech in Computer Science or Electronics or Electrical with 5+ years of relevant experience.
  • ME/MTech in Computer Science or Electronics or Electrical with 4+ years of relevant experience.


  • Strong experience in Computer Vision (CV), Machine Learning (ML),Deep Learning (Neural Network (NN), CNN, DNN, RNN), Reinforcement Learning (RL), Linear Algebra and Artificial Intelligence (AI)
  • Strong hold on Incremental/continuous and transfer learning and autoML concepts
  • Strong experience in C/C++, MATLAB, Python and basic libraries for machine learning such as scikit-learn and pandas
  • Proficiency with a deep learning framework such as PyTorch, TensorFlow and Keras
  • Hands on Experience in rapid DL/ML/CV/RL/NLP POC development
  • Very good Knowledge on Object-Oriented Design & System Integration
  • Very good knowledge on Code Optimization, Implement & Adapt Complex Algorithms (E.g., from literature, from other teams, etc.)
  • Good knowledge of image data annotation
  • Verify Dataset Quality and having experience of data reduction techniques
  • Expertise in visualizing and manipulating big datasets

Mandatory Skills:

  • Strong knowledge of MATLAB/Python/C
  • Hands on Experience in Deep learning/Machine learning/Reinforcement Learning
  • Hands on Experience in Pytorch/ tensorflow/keras
  • Hands on Problem Solving and designing architectures for end-to-end solutions

Blaize is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees, and we honor requests for preferred pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

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