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3 jobs found

15d ago

Machine Learning Engineer

Hang Los Angeles, CA

Los Angeles, CA

15d ago

Full time Engineer Learning Machine

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Job Description

Hang operates a loyalty platform and is looking to elevate its capabilities with advanced machine learning. This onsite role in Los Angeles seeks a seasoned ML Engineer to design, build, and deploy models that enhance personalization, predictive analytics, and automated decisioning, collaborating with cross-functional teams. The aim is to turn data into tangible improvements that guide Hang’s product strategy.

What you’ll do

Design, build, and deploy machine learning solutions that boost customer personalization, predictive analytics, and automated decisioning across Hang’s platform.
Analyze large datasets to uncover trends and patterns that inform model development and business strategy.
Experiment with algorithms and tune them to improve accuracy and efficiency.
Collaborate closely with software engineers, data scientists, and product managers to integrate models and ensure smooth deployment.
Stay current with the latest ML and AI developments and explore new techniques and technologies that could benefit Hang.
Provide technical leadership and contribute to the strategic direction of the technology team by sharing best practices.

Who you are

A bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field; a PhD is a plus.
Five or more years of experience in machine learning and data-oriented roles.
Proven track record as a Machine Learning Engineer or in a similar role.
Strong Python skills with familiarity in ML frameworks such as TensorFlow or PyTorch.
Experience with data processing and analytics.
Hands-on experience with vector databases and managing high-dimensional data; familiarity with Redis, Milvus, Pinecone, Weaviate, Chroma, or Faiss is required.
Solid knowledge of ML techniques and algorithms, including fine-tuning processes and methodologies.
Experience deploying Large Language Models in production, with emphasis on optimization and scaling.
Proficiency with Snowflake, Postgres, RDS, Redis, and AWS.
Excellent problem-solving skills and ability to thrive in a fast-paced environment.
Strong communication and teamwork capabilities.
Ruby experience is a plus.

Technologies

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

Benefits

Comprehensive health, vision, and dental coverage, including plans with zero employee cost.
Unlimited paid time off and sick leave.
Competitive salary plus equity compensation.
Quarterly company offsites.

About the role

We are seeking a skilled and innovative Machine Learning Engineer to join our team. The role focuses on implementing and advancing machine learning models to enhance the platform, contributing to product development, and enabling data‑driven decision-making.

What would set you apart

A demonstrated 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 Engineer Learning

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

Job Description

Machine Learning Engineer, Ad Response Prediction at Amazon.com Services LLC, onsite in New York, NY, with a salary range of USD 143,700 - 213,800 per year, responsible for designing, coding, and maintaining scalable ML pipelines and online serving systems for ad response prediction within the Sponsored Products and Brands team.

Responsibilities

Set the technical direction for machine learning offerings across the Sponsored Products organization
Design, code, troubleshoot, and support scalable ML pipelines and online serving systems
Collaborate with applied scientists to optimize ML model performance and infrastructure
Deliver end-to-end solutions and own what you create

Requirements

3+ years of non-internship professional software development experience
3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations experience
2+ years designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
Knowledge of machine learning model architecture and inference

Technologies

C#, C++, Java, Perl
JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, TensorRT

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

About the Team

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and cu

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4mo ago

AI & Machine Learning Developer

Johnson Health Tech Companies Cottage Grove, WI

Cottage Grove, WI

4mo ago Closed

$99k - $119k/yr Full time Python AI Android

This position is no longer accepting applications (closed May 10, 2026).

Job Description

AI and Machine Learning Developer role at Johnson Health Tech Companies in Cottage Grove, WI onsite, offering a salary of USD 99,000 - 119,000 per year.

Responsibilities

Design, prototype, and implement AI and ML features for Johnson Health Tech mobile fitness apps.
Develop and refine large language models to support natural language interactions and user personalization.
Build scalable backend services leveraging AWS, including Lambda, DynamoDB, and SageMaker.
Establish production ready ML operations pipelines and inference endpoints using AWS tools such as SageMaker and Bedrock.
Collaborate with Android developers to integrate AI capabilities into client-side applications.
Create prototypes and proof-of-concepts for new AI driven features.
Stay current with emerging AI and ML technologies and best practices.
Ensure compliance with data privacy and security standards.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
3+ years of AI/ML development experience, with emphasis on Natural Language Processing and LLMs.
Hands-on experience deploying AI/ML workloads on AWS.
Strong Python skills and familiarity with ML frameworks such as TensorFlow and PyTorch.
Experience with RESTful APIs and a microservices architecture.

Technologies

Python
TensorFlow
PyTorch
AWS Lambda
DynamoDB
SageMaker
Bedrock
Android

Benefits

Health & Dental Insurance
Company paid Life Insurance
401(k)
Paid Time Off benefits
Product discounts
Wellness programs

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Machine Developer Jobs

Machine Learning Engineer

Machine Learning Engineer, Ad Response Prediction

AI & Machine Learning Developer

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