Hang

Machine Learning Engineer

Hang

full-time

Posted on:

Location Type: Remote

Location: New York • United States

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Tech Stack

AWSPostgresPythonPyTorchRedisRubyTensorflow

About the role

  • Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
  • Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies.
  • Continuously test and refine algorithms to improve accuracy and efficiency.
  • Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment.
  • Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
  • Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.

Requirements

  • Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
  • 5+ years of experience in machine learning and data related roles.
  • Proven experience as a Machine Learning Engineer or in a similar role.
  • Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).
  • Experience with data processing and data analytics.
  • Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required.
  • Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
  • Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.
  • Experience with snowflake, Postgres, RDS, Redis and AWS.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication skills and ability to work well in a team.
  • Experience with Ruby is a plus.
Benefits
  • Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
  • Unlimited PTO / sick leave
  • Competitive salary & equity compensation.
  • Quarterly company offsites
Applicant Tracking System Keywords

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

Hard Skills & Tools
machine learningdata analyticsPythonTensorFlowPyTorchvector databasesLarge Language Modelsdata processingfine tuningRuby
Soft Skills
problem-solvingcommunicationteamwork