Machine Learning Engineer
Read straight from Hang's careers page, verified 3d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
SalaryNo pay range posted
LocationRemote, New York
Work moderemote · United States
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
EquityIncluded
Company size6+ people
PostedNov 14, 2023 · 2y ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
Familiarity with ML frameworks like TensorFlow or PyTorch
Experience with data processing and data analytics
Experience with vector databases, including Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss
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
PhD in Computer Science, Engineering, Mathematics, or a related field
Experience with Ruby
Passion for consumer brands and loyalty programs
Skills
Python
TensorFlow
PyTorch
Redis
Milvus
Pinecone
Weaviate
Chroma
Faiss
Snowflake
Postgres
RDS
AWS
Ruby
Benefits
Health insurance
Vision insurance
Dental insurance
Unlimited PTO
Sick leave
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