Which cities in the United States of America offer the highest salaries for machine learning jobs?

The top 10 cities are: Grand Rapids, MI ( from $ 177,531 to $ 240,706 year ) Lansing, MI ( from $ 109,700 to $ 240,100 year ) Simi Valley, CA ( from $ 136,688 to $ 235,450 year ) Spokane Valley, WA ( from $ 135,458 to $ 234,943 year ) Charleston, SC ( from $ 112,230 to $ 233,350 year ) Chula Vista, CA ( from $ 174,990 to $ 229,500 year ) Fairfield, CA ( from $ 151,875 to $ 227,500 year ) Sunnyvale, CA ( from $ 150,000 to $ 225,000 year ) Hampton, VA ( from $ 107,500 to $ 225,000 year ) Wichita Falls, TX ( from $ 145,250 to $ 223,751 year )

Machine learning Jobs in USA

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Machine learning • usa

Last updated: 21 hours ago

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States

Full-time

Quick Apply

Machine Learning Engineer

Ontrac SolutionsChicago, Illinois, United States

Full-time

This role is ideal for junior-to-mid-level engineers with strong.Google Cloud Platform experience.The selected engineers will work under the direct guidance of a.MLOps execution, pipeline maintenan...Show more

Machine Learning Engineer

GivzeyUnited States

Full-time

We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions.In this role, you'll have the opportunity to shape and create our ma...Show more

Machine Learning Specialist

Applied PhysicsNew York, NY, US

Full-time

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Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics.In this role, you will have the opp...Show more

Machine Learning Engineer

K1XUS

Remote

Full-time

Quick Apply

Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred.K1x is the leading data distribution platform for alternative investments.Simply put, our mission is to digitize the K-1 ecosystem....Show more

Machine Learning Engineer

J5 ConsultingHerndon, US

Full-time

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J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities.Our services improve Information System networking ...Show more

Machine Learning Engineer

Swish AnalyticsSan Francisco, California, US

Full-time

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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.We believe that oddsmaking is a challenge rooted in engi...Show more

Machine Learning

OorwinDemo INDIACalifornia, PA, Mississippi, USA

Full-time +1

Job description Job Responsibilities : - Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation.Underst...Show more

Machine Learning Engineer

Seven Seven SoftwaresNewark, NJ, US

Full-time

Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.Design and implement Mach...Show more

Machine Learning Engineer

ProSidian Consulting, LLCAlexandria, Virginia, United States

Full-time

ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] for Program Support on a Exempt W2: No Overtime Pay Basis located...Show more

Machine Learning Engineer

WorkNovas LLCRichmond, VA, United States

Full-time

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Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the Role We are seeking a Machine Learning Engineer with expertise in agentic AI systems to design, buil...Show more

Machine Learning Engineer

Johns Hopkins Applied Physics LaboratoryLaurel, Maryland, United States

Full-time +1

Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field?.Do you thrive in a collaborative...Show more

Machine Learning Educator

Jane StreetNew York, New York, US

Full-time

We’re looking for an experienced and skilled educator to help us teach people at Jane Street about machine learning.Machine learning is a critical pillar of Jane Street's global business.Our ever-e...Show more

Machine Learning Engineer

Q2Austin, TX

Full-time

As passionate about our people as we are about our mission.Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in ...Show more

Machine Learning Engineer

Match Point SolutionsSan Diego, CA, United States

Full-time

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About MatchPoint Solutions MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber, Robinhood...Show more

Machine Learning Engineer, Data & Machine Learning (DML)

Amazon Web Services, Inc.Arlington, Virginia, USA

Full-time

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.The Amazon Web Services Professional Services (ProServe...Show more

Machine Learning Engineer

Intuitive SurgicalSunnyvale, CA, United States

Full-time

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at.Were a team of engineers, clini...Show more

Machine Learning Engineer

Realtor.comAustin, TX

Full-time

Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.Building your career? Build it better at.Machine Learning Engineer at (View all jobs) (.A...Show more

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States

30+ days ago

Job type

Full-time

Quick Apply

Job description

Pay Rate: $60 - $65/Hour

Overview:

We are seeking a skilled and experienced Machine Learning (ML) Engineer to join our team in a customer-facing role. You will architect and implement innovative ML solutions, working closely with data scientists and engineers to put algorithms and models into practice to solve our customers' most challenging problems. You will take the lead in planning, designing, and running experiments, while researching new algorithms to deliver impactful solutions.

Key Responsibilities:

Design, build, and deploy machine learning models within the proposed platform, ensuring they are optimized for performance and scalability.
Collaborate with Data Scientists and Data Engineers to implement feature stores, model management (MLOps), and Explainable AI (XAI) capabilities.
Monitor and optimize the performance of deployed models, ensuring they meet business requirements and performance standards.
Support model management, versioning, and deployment workflows to streamline the operationalization of machine learning models.
Engage directly with customers to understand their business problems and help implement tailored ML solutions.
Deliver Machine Learning projects end-to-end, including understanding business needs, planning projects, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact.
Utilize deep learning frameworks like PyTorch and TensorFlow to build computer vision models for versatile applications.
Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems.
Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.
Work closely with customer account teams and product engineering teams to optimize model implementations and deploy cutting-edge algorithms.
Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.
Apply best practices from core Software Development activities to Machine Learning, including deplorability, unit testing, and structured, extensible software development.

Preferred Qualifications:

Proven experience in building and deploying machine learning models at scale.
Proficiency with deep learning frameworks like PyTorch and TensorFlow.
Experience with cloud-native machine learning solutions, preferably on AWS.
Experience with Databricks
Experience with Agile Methodology
Strong understanding of MLOps workflows, including model management.
Ability to work independently and collaboratively with cross-functional teams.