Read AI

Member of Technical Staff, ML

Read AI

full-time

Posted on:

Location Type: Hybrid

Location: Toronto • Canada

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Lead

Tech Stack

AWSAzureCloudGoGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

  • Collaborate with the product managers to clearly understand and refine product requirements, aligning them seamlessly with our business goals
  • Innovate in the field of ML/LLM/NLP by building various models by designing, prototyping, and testing them
  • Build our foundation models using large-scale historical data and data generated by our services
  • Partner with production teams to construct and implement scalable, efficient, and dependable ML/NLP systems and pipelines
  • Play a key role in enhancing ML productivity, focusing on automation, data refinement, code efficiency, and procedural improvements
  • Contribute to the bleeding edge of AI and drive innovation forward, staying ahead of the curve

Requirements

  • Advanced degree (Master’s or PhD) in Computer Science or related technical discipline
  • At least 3 years of professional experience in software development with an emphasis on machine learning and natural language processing
  • Demonstrable experience in creating, implementing, and maintaining ML/NLP models and infrastructures
  • Willingness to roll up sleeves and get intimate with the data
  • Knowledge of Large Language Models (LLMs) including experience in training and fine-tuning LLMs
  • Background in full-stack development will be considered favorably
  • Proficiency in programming languages like Python, Go, and in ML/NLP frameworks including PyTorch, TensorFlow, and Transformers
  • Acquaintance with cloud computing environments such as AWS, Azure, or GCP
  • Exceptional problem-solving abilities and effective communication and teamwork skills.
Benefits
  • Health insurance
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningnatural language processingLarge Language ModelsPythonGoPyTorchTensorFlowTransformersdata refinementcode efficiency
Soft Skills
problem-solvingcommunicationteamwork
Certifications
Master’s degreePhD