Machine Learning Engineer

Hang

$120K — $160K *
US-Anywhere
+ 2 other locationsRemote
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in relevant field; Ph.D. is a plus.
  • 5+ years of experience in machine learning roles.
  • Strong programming skills in Python; familiarity with ML frameworks like TensorFlow or PyTorch.
  • Experience with vector databases and high-dimensional data management.
  • Knowledge of machine learning techniques and deployment of Large Language Models (LLMs).
  • Excellent problem-solving and communication skills. Possibly familiar with Ruby.

Responsibilities

  • Design, build, and deploy machine learning models for customer personalization and predictive analytics.
  • Analyze large datasets to identify trends for informed model development.
  • Continuously optimize algorithms for better accuracy and efficiency.
  • Collaborate with software engineers, data scientists, and product managers for seamless ML integration.
  • Research new ML techniques and technologies to enhance product offerings.
  • Provide technical leadership and best practices in machine learning.

Benefits

  • Top-tier health, vision, and dental insurance with $0 employee cost plans.
  • Unlimited PTO and sick leave.
  • Competitive salary and equity compensation.
  • Quarterly company offsites.
Full Job Description
About the Role

We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.

What You'll Do
  • Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
  • Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies.
  • Algorithm Optimization: Continuously test and refine algorithms to improve accuracy and efficiency.
  • Collaborative Development: Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment.
  • Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
  • Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.
Who You Are
  • 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.
What Would Set You Apart
  • You have a passion for consumer brands and loyalty programs.


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

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