Read AI

Member of Technical Staff – ML

Read AI

full-time

Posted on:

Location Type: Hybrid

Location: Berlin • Germany

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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.
  • While we drive the capabilities of LLMs we expect that in some cases you’ll also apply other ML approaches.
  • Build our foundation models using large-scale historical data as well as data that our services generate on a regular basis.
  • Partner with our production teams to construct and implement scalable, efficient, and dependable ML/NLP systems and pipelines, designed for round-the-clock operation.
  • Play a key role in enhancing our ML productivity, focusing on areas such as 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 a 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
  • 401(k) matching
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