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Machine Engineer Jobs

2 jobs found

1mo ago

Machine Learning Engineer

Hang Los Angeles, CA

Los Angeles, CA

1mo ago Closed

Full time Learning Machine Machine Learning

This position is no longer accepting applications (closed Sep 2, 2026).

Job Description

Hang is seeking a Machine Learning Engineer in Los Angeles, onsite, to design, implement, and deploy ML models that strengthen the loyalty platform and enable data driven decision making through cross functional collaboration.

Responsibilities

Design, develop, and deploy machine learning models to enhance customer personalization, predictive analytics, and automated decision making within the loyalty platform.
Analyze large datasets to uncover trends and patterns that inform model development and business strategy.
Continuously test and optimize algorithms to improve accuracy and efficiency.
Collaborate with software engineers, data scientists, and product managers to integrate ML solutions into the platform and ensure smooth deployment.
Stay current with advances in ML and AI, exploring new techniques and technologies that can benefit Hang.
Provide technical leadership and contribute to the strategic direction of our machine learning practices.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field; PhD is a plus.
5+ years of experience in machine learning and data related roles.
Proven track record as a Machine Learning Engineer or in a similar role.
Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
Experience with data processing and data analytics.
Experience with vector databases and managing high dimensional data; familiarity with Redis, Milvus, Pinecone, Weaviate, Chroma, or Faiss is required.
Knowledge of machine learning techniques and algorithms, including model fine tuning processes and methodologies.
Experience deploying Large Language Models in production, 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.
Ruby experience is a plus.

Technologies

Python
TensorFlow
PyTorch
Redis
Milvus
Pinecone
Weaviate
Chroma
Faiss
Snowflake
Postgres
RDS
AWS
Ruby

Benefits

Top tier health, vision, and dental insurance with plans that may include zero employee cost.
Unlimited PTO and sick leave.
Competitive salary and equity compensation.
Quarterly company offsites.

About the Role

We are seeking a skilled and innovative Machine Learning Engineer to join our team and contribute to building and refining models that enhance the platform's capabilities.
Responsibilities include implementing and developing ML models to support product development and data driven decision making.

What You’ll Do

Design, build, and deploy machine learning models to improve aspects of the platform such as personalization, analytics, and automated decisions.
Analyze large datasets to identify trends and inform model development and strategy.
Iteratively test and refine algorithms to boost accuracy and efficiency.
Work with software engineers, data scientists, and product managers to integrate ML models and ensure smooth deployment.

Who You Are

Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; 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 (TensorFlow or PyTorch).
Experience with data processing and data analytics.
Experience with vector databases and managing high dimensional data; familiarity with Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required.
Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
Experience deploying Large Language Models in production, 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.
Ruby experience is a plus.

What Would Set You Apart

A passion for consumer brands and loyalty programs.

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1mo ago

Machine Learning Engineer, Ad Response Prediction

Amazon.com Services LLC New York, NY

New York, NY

1mo ago Closed

$144k - $214k/yr Full time Ad Learning Machine

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

New York, NY onsite, USD 143,700 to 213,800 per year; Amazon Ads seeks a Machine Learning Engineer to design, implement, and maintain scalable ML pipelines and online serving systems for ad response prediction within the Sponsored Products and Brands organization.