Machine

Machine Data Jobs

4 jobs found

Today

Machine Learning Engineer

Hang Los Angeles, CA

Los Angeles, CA

Today

Full time Engineer Learning Machine

Apply Now

Job Description

Hang is seeking a Machine Learning Engineer to design, build, and deploy models that enhance our loyalty platform and drive data driven decisions.

Responsibilities

Design, build, and deploy machine learning models to improve customer personalization, predictive analytics, and automated decision making on Hang's platform.
Analyze large datasets to identify trends and inform model development and business strategies.
Continuously test and refine algorithms to boost accuracy and efficiency.
Collaborate with software engineers, data scientists, and product managers to integrate ML models into the platform and ensure seamless deployment.
Stay up to date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
Provide insights and guidance on best practices in machine learning and contribute to the technology strategy.

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 experience 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 fine tuning processes and methodology.
Experience 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.

Technologies

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

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

What would set you apart

You have a passion for consumer brands and loyalty programs.

View full job page →

18d ago

Machine Learning Engineer, Ad Response Prediction

Amazon.com Services LLC New York, NY

New York, NY

18d ago

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

Apply Now

Job Description

Based in New York, NY (onsite), the Machine Learning Engineer will design, code, and maintain scalable ML pipelines and online serving systems for ad response prediction within Amazon Ads Sponsored Products and Brands, with a salary range of USD 143,700 - 213,800 per year and a minimum of 2 years of professional software development experience.

Responsibilities

Drive the technical direction of ML 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; you own what you build

Requirements

3+ years of non-internship professional software development experience
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
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 and AD&D insurance with option for supplemental life plans
Employee Assistance Program, mental health support, and 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)

View full job page →

2mo ago

Lead Machine Learning Engineer

ADP New York, NY

New York, NY

2mo ago Closed

$134k - $190k/yr Full time Engineer Lead Learning

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

ADP seeks a Lead Machine Learning Engineer in New York, NY (onsite) with a salary range of USD 134,423 - 190,200 per year to design and implement LLM-powered solutions and provide technical leadership across engineering teams.

Responsibilities

Lead the design and architecture of large language model solutions for complex business problems, with a primary focus on automating client onboarding.
Collaborate with implementation teams to identify gaps in current product features and design scalable LLM-powered solutions to address those gaps.
Partner with Technical Product Managers to develop and prioritize product roadmaps that deliver strategic enhancements and drive business value.
Design and implement high-performance LLM applications and systems using LangChain, LlamaIndex, and foundation models such as GPT-4, Claude, and Llama.
Develop and maintain scalable LLMOps pipelines including prompt engineering, fine-tuning, evaluation frameworks, and monitoring systems.
Implement retrieval-augmented generation architectures and vector databases for enhanced model performance.
Evaluate model performance through systematic testing, A/B testing, and observability tools, identifying areas for optimization and improvement.
Collaborate with data scientists, software engineers, product managers, and implementation teams to translate business requirements into LLM-powered technical solutions.
Work closely with software engineers to integrate LLM applications into product architecture, ensuring deployment, maintenance, and monitoring via comprehensive LLMOps practices.
Provide technical leadership and mentorship to engineering teams, documenting and communicating design decisions and best practices to stakeholders across the organization.
Drive innovation by staying current with the latest advances in LLMs, generative AI, and prompt engineering techniques, applying emerging technologies to business challenges.
Build and maintain robust LLMOps infrastructure using modern development tools, including Docker/Kubernetes, CI/CD pipelines with Jenkins and Ansible, and cloud platforms such as AWS or Azure.
Develop RESTful APIs and GraphQL services to enable seamless integration of LLM capabilities into existing systems.
Implement observability and monitoring solutions for LLM applications, including token usage tracking, latency optimization, and cost management.

Requirements

A Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field plus five years of related experience; or a Master’s degree with three years of related experience.
Three years of experience must include Python; LLMs and foundation models (GPT-4, Claude, or Llama); LLM frameworks (LangChain, LlamaIndex, or similar); Prompt engineering and fine-tuning techniques; Vector databases (Pinecone, Weaviate, or ChromaDB); RESTful APIs; Go or Node.js technologies; RDBMS and NoSQL databases (MySQL or DynamoDB); Public Cloud (AWS or Azure); Docker and Kubernetes; Git; CI/CD pipelines (Jenkins and Ansible); GraphQL; and Agile methodologies.

Technologies

Python
Go
Node.js
MySQL
DynamoDB
Docker
Kubernetes
Git
Jenkins
Ansible
AWS
Azure
LangChain
LlamaIndex
GPT-4
Claude
Llama
Pinecone
Weaviate
ChromaDB
RESTful APIs
GraphQL

Benefits

Medical
Dental
Vision
Life Insurance
Matched Retirement Savings
Wellness Program
Short- and Long-Term Disability
Charitable Contribution Match
Holidays
Personal Days & Vacation
Paid Volunteer Time Off

View full job page →

3mo ago

AI & Machine Learning Developer

Johnson Health Tech Companies Cottage Grove, WI

Cottage Grove, WI

3mo ago Closed

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

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

Job Description

The AI and Machine Learning Developer will design and prototype advanced AI features for Johnson Health Tech Companies' mobile fitness applications, with a focus on large language models and AWS-based backend services, and will collaborate with Android developers to integrate capabilities into production apps.

Responsibilities

Research, design, and implement AI/ML solutions for mobile fitness applications.
Develop and fine-tune large language models for natural language interactions and personalization.
Build scalable backend services using AWS technologies such as Lambda, DynamoDB, and SageMaker.
Establish scalable ML operations pipelines and production-ready inference endpoints with AWS offerings including SageMaker and Bedrock.
Collaborate with Android developers to integrate AI features into client-side applications.
Create prototypes and proofs of concept for new AI-driven features.
Stay current with emerging AI/ML technologies and industry 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.
Minimum 3 years of AI/ML development experience, with a focus on Natural Language Processing and LLMs.
Hands-on experience deploying AI/ML solutions on AWS.
Proficiency in Python and 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

Compensation

Salary: USD 99,000 - 119,000 per year. Location: Cottage Grove, WI onsite.

Benefits

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

View full job page →

Machine Data Jobs

Machine Learning Engineer

Machine Learning Engineer, Ad Response Prediction

Lead Machine Learning Engineer

AI & Machine Learning Developer

Get Machine Data Jobs alerts