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AI/ML Engineer

Info Way Solutions

San Francisco, California • 6d ago

Easy Apply

Full-time

100,000 - 150,000

AI/ML Engineer

Abbott Laboratories

Alameda, California • Today

Full-time

Compensation information provided in the description

AI/ML Engineer

Fieldwire

Remote or San Francisco, California • Today

Full-time

USD 152,000.00 - 220,000.00 per year

AI/ML Engineer

GSK

San Francisco, California • Today

Full-time

USD 136,125.00 - 226,875.00 per year

Principal AI/ML Engineer

Abbott Laboratories

Alameda, California • Today

Full-time

Compensation information provided in the description

Senior AI/ML Engineer

Abbott Laboratories

Alameda, California • Today

Full-time

Compensation information provided in the description

Senior AI/ML Engineer

UnitedHealth Group

San Francisco, California • Today

Full-time

USD 145,500.00 - 249,500.00 per year

AI/ML Engineer, 2027 New Grad

BrainCo

San Francisco, California • Today

Full-time

AI / ML Engineer

INSPYR Solutions

Remote • 3d ago

Easy Apply

Contract

$70 - $80

Mid-Level AI & Machine Learning Engineer

Fieldwire

San Francisco, California • Today

Full-time

USD 170,000.00 - 195,000.00 per year

Staff AI/ML Platform Engineer

Abbott Laboratories

Alameda, California • Today

Full-time

Compensation information provided in the description

AI/ML Engineer

Medinext Global LLC

Remote • 10d ago

Easy Apply

Full-time

70,000 - 120,000

AI/ML Engineer

Cardinal Health

Remote • Today

Full-time

USD 96,300.00 - 123,840.00 per year

AI/ML Engineer

Xenith Solutions LLC

Remote or Ashburn, Virginia • Today

Full-time

USD 115,000.00 - 165,000.00 per year

AI/ML Engineer

Slate Auto

Remote or Washington • Today

Full-time

AI/ML Engineer

California SoftTech, Inc.

Remote • 2d ago

Easy Apply

Contract

60 - 70

Senior AI/ML Engineer

Crea Services LLC

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

AI/ML Engineer

Shimento, Inc.

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Senior Ai/ML Engineer

Redhorse Corporation

Remote • Today

Full-time

AI/ML Engineer (Artificial Intelligence & Machine Learning)

Dice US Sales Demo Account

Remote • 5d ago

Easy Apply

Full-time

Depends on Experience

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

AI/ML Engineer

Pro Integrate

Remote or New York, New York • Today

Easy Apply

Full-time

$$200K - $350K/yr compensation

Sr. AI/ML Engineer - Remote

UnitedHealth Group

Remote or Richardson, Texas • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Data Scientist / AI ML Engineer

TechVirtue LLC

Remote • 2d ago

Easy Apply

Contract

55 - 60

Senior AI/ML Engineer with PyTorch, ?++

EPAM Systems

Remote • Today

Full-time

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or San Diego, California • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Gen AI/ML Engineer - Entry Level

NET2ASPIRE LLC

Remote • 25d ago

Easy Apply

Contract

33 - 40

Senior AI/ML Engineer, Applications & Automation

Intelligent Medical Objects, Inc.

Remote or Chicago, Illinois • 2d ago

Full-time

USD 150,000.00 - 200,000.00 per year

Sr. AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr AI/ML Engineer- UHC Tech (Remote)

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Job Details

Skills

Algorithms
Amazon Web Services
Artificial Intelligence
Cloud Computing
Collaboration
Computer Science
Continuous Delivery
Continuous Integration
Data Science
Database
Deep Learning
Docker
Generative Artificial Intelligence (AI)
Git
Good Clinical Practice
Google Cloud Platform
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mathematics
Microservices
Microsoft Azure
Natural Language Processing
NoSQL
NumPy
Object-Oriented Programming
Pandas
Performance Monitoring
Prompt Engineering
PyTorch
Python
RESTful
SQL
Scalability
Shipping
Software Architecture
Software Engineering
Statistical Models
TensorFlow
Testing
Training
Unit Testing
Version Control
scikit-learn

Algorithms
Amazon Web Services
Artificial Intelligence
Cloud Computing
Collaboration
Computer Science
Continuous Delivery
Continuous Integration
Data Science
Database
Deep Learning
Docker
Generative Artificial Intelligence (AI)
Git
Good Clinical Practice
Google Cloud Platform
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mathematics
Microservices
Microsoft Azure
Natural Language Processing
NoSQL
NumPy
Object-Oriented Programming
Pandas
Performance Monitoring
Prompt Engineering
PyTorch
Python
RESTful
SQL
Scalability
Shipping
Software Architecture
Software Engineering
Statistical Models
TensorFlow
Testing
Training
Unit Testing
Version Control
scikit-learn

Summary

Position Overview

We are seeking 2 talented AI/ML Engineers to join our team in San Francisco, CA. In this full-time role, you will be working onsite to build, deploy, and optimize real-world Machine Learning and Artificial Intelligence models that drive core business products.

The ideal candidate has hands-on experience in the ML lifecycle—from data preprocessing and model development to productionizing and maintaining scalable ML microservices and pipelines.

Key Responsibilities

ML Model Productionization: Design, train, evaluate, and ship machine learning and data science models into production environments.
Pipeline & Infrastructure Development: Build, optimize, and maintain scalable data and feature pipelines to support model training, testing, and continuous deployment.
Algorithm & Framework Integration: Apply statistical models, deep learning techniques, or Generative AI/NLP frameworks to solve complex technical challenges.
Performance Monitoring & Tuning: Track, monitor, and optimize production ML models for latency, accuracy, scalability, and drift.
Cross-Functional Collaboration: Partner closely with software engineers, product managers, and data teams to integrate AI capabilities into end-user applications.

Required Qualifications

Experience: 1+ years of practical experience in Machine Learning, Data Science, or AI engineering with a proven track record of shipping ML systems into production.
Programming Skills: Strong proficiency in Python and standard ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy).
Software Engineering Fundamentals: Solid understanding of object-oriented programming, software architecture, unit testing, and version control (Git).
Data & Deployment: Experience working with SQL/NoSQL databases, RESTful APIs, and basic containerization (Docker).
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, or a related quantitative field.

Preferred Qualifications

Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) for ML training and deployment.
Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Weights & Biases) and CI/CD pipelines.
Exposure to modern LLM frameworks, RAG architectures, or prompt engineering.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90769335A
Position Id: 9115336
Posted 18 days ago

Fitment

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Contact the job poster

Girish Tanwar

Recruiter @ Info Way Solutions

View Profile

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San Francisco, California

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This is Adyen. Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at s

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Senior Machine Learning Engineer, AI-Native Evaluation & Search

Remote or San Francisco, California

•

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Overview Atlassian is looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. We build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power Atlassian's AI products. Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire peo

Full-time

USD 206,100.00 - 269,075.00 per year

Staff AI/ML Platform Engineer

Alameda, California

•

Today

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. At Lingo, we?re building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to h

Full-time

Compensation information provided in the description

Sr. ML Ops Engineer, Forward-Deployed

San Francisco, California

•

Today

Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place

Full-time

USD 191,475.00 - 260,830.00 per year