Senior AI Research engineer

About Us

Beam AI

Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures."

Position Description:

Senior AI Research Engineer,

In this role, you will support the end-to-end lifecycle of AI-based solutions — from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.

Roles & Responsibilities

• Contribute to research and development initiatives focused on

  Computer Vision, Image Processing

  , and

  Deep Learning

  applied to construction-related data.
• Build and optimize models for extracting insights from documents such as

  blueprints, scanned PDFs, and SVG files

  .
• Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs).

• Follow best data science and machine learning practices

  , including data-centric development, experiment tracking, model validation, and reproducibility.
• Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications.
• Write clean, scalable, and production-ready code using Python and frameworks like

  PyTorch

  ,

  TensorFlow

  , or

  HuggingFace

  .
• Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges.

Skills & Requirements

• 4-7 years

  of experience in applied AI/ML and research with a strong focus on

  Computer Vision

  and

  Deep Learning

  .
• Solid understanding of

  image processing

  , visual document understanding, and feature extraction from visual data.
• Familiarity with

  SVG graphics

  ,

  NLP

  , or

  LLM-based

  architectures is a plus.
• Deep understanding of unsupervised learning techniques like

  clustering, dimensionality reduction

  , and representation learning.
• Proficiency in Python and ML frameworks such as

  PyTorch

  ,

  OpenCV

  ,

  TensorFlow

  , and

  HuggingFace Transformers

  .
• Hands-on experience with model optimization techniques (e.g.,

  quantization

  ,

  pruning

  ,

  knowledge distillation

  ). - Good to have
• Experience with version control systems (e.g.,

  Git

  ), project tracking tools (e.g.,

  JIRA

  ), and cloud environments (

  GCP

  ,

  AWS

  , or

  Azure

  ).
• Familiarity with

  Docker

  ,

  Kubernetes

  , and containerized ML deployment pipelines.
• Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate.
• Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills.

Why Work With Us?

• Be part of a visionary team building a

  first-of-its-kind AI solution for the construction industry

  .
• Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.
• Culture that encourages ownership, innovation, and growth.
• Opportunities for fast learning, mentorship, and career progression.