1

Machine Learning Assistant Jobs Near Me

Data Engineer

Columbus, OH

$110K - $132K/yr

The Hartford is developing industry-leading AI and machine learning capabilities to improve ... deployments. * Assist with the deployment, monitoring, and support of production data and AI ...

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... Maintain engagement with the data science community and current industry developments to assist in ...

Production Fabricator

Columbus, OH · On-site

$18 - $24/hr

... machine learning data collection, culminating in robotic welding cell processing * Read and ... * Assist with fixture modifications, prototype builds, and general fabrication projects as needed.

Production Fabricator

Columbus, OH

$18 - $24/hr

... machine learning data collection, culminating in robotic welding cell processing * Read and ... * Assist with fixture modifications, prototype builds, and general fabrication projects as needed.

iOS Developer

Columbus, OH · On-site

$50 - $68.75/hr

... devices. Assist with troubleshooting, root cause analysis, and ensure that software bugs are ... machine learning, mobile, etc.) · Ability to tackle design and functionality problems ...

Develop code and follow standards in place for API and microservices * Assist in development of machine learning for existing automations * Potentially assist in development of new UI features

next page

Showing results 1-20

Machine Learning Assistant information

See salary details

$13

$18

$23

How much do machine learning assistant jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for machine learning assistant in the United States is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.
What cities are hiring for Machine Learning Assistant jobs? Cities with the most Machine Learning Assistant job openings:
What states have the most Machine Learning Assistant jobs? States with the most job openings for Machine Learning Assistant jobs include:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
A map of the United States highlighting the number of Machine Learning Assistant job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Machine Learning Assistant job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Applied AI ML-Vice President

JPMorganChase

Columbus, OH • On-site

Full-time

Posted 12 days ago


Job description

Job Summary:
JPMorganChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals. In this role, you will apply strong technical judgment to enhance machine learning solutions and drive innovation, ensuring that the technology products are secure, scalable, and reliable.
Responsibilities:
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
• Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
• Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
• Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
• Promote software and model quality, integrity, and security across the organization
Qualifications:
Required:
• BS in Computer science or similar fields with 5+ years experience or MS in Computer science or similar fields with 3+ years experience, with training and work experience in LLM/NLP and search.
• Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
• Experience in machine learning frameworks, ML Ops tools and practices.
• Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
• Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
• Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
Preferred:
• Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.