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Machine Learning Engineer

Hang

Remote, New YorkDataFull-time
Before you apply

Role details

The practical picture
Employment
Full-time
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

Hang seeks a senior machine learning engineer with over 5 years of experience to design, build, and deploy ML models for their brand loyalty platform. The role involves working with large datasets, optimizing algorithms, and integrating models with large language models in production. Candidates must have strong skills in Python, ML frameworks, and cloud infrastructure like AWS.

Remote scope
Hybrid work is specified as being based in New York, with the job location explicitly listed as Remote, New York.

What you need

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
  • 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 such as Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss required

What you will own

  • Design, build, and deploy machine learning models to improve customer personalization, predictive analytics, and automated decision-making.
  • Analyze large datasets to identify trends and patterns to inform model development and business strategies.
  • Continuously test and refine algorithms to improve accuracy and efficiency.
  • Collaborate with software engineers, data scientists, and product managers to integrate ML models into the platform.
  • Stay up-to-date with the latest developments in machine learning and AI to explore new techniques.
  • Provide technical leadership and insights on machine learning best practices and strategic direction.
Core skills
Machine LearningPythonTensorFlowPyTorchAWSSnowflakePostgresRedisLarge Language ModelsVector Databases
Internal freshness window ends Oct 21, 2026
View source evidence
  • location “Job location: Remote, New York”
  • remote_scope “Remote, New York”
  • applicant_location_requirements “New York”
  • must_have “5+ years of experience in machine learning and data related roles.”
  • must_have “Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).”
  • must_have “Experience with snowflake, Postgres, RDS, Redis and AWS.”
machine learningpythontensorflowpytorch
Role brief
Hang is building the future of loyalty for brands.

Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers.

Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).

Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.

Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.

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