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Machine Learning Ai Jobs (NOW HIRING)

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

Key Responsibilities Design and implement agentic AI systems capable of planning, tool use, memory ... machine learning, AI engineering, or applied ML Strong proficiency in Python for ML and backend ...

SynergisticIT

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

SynergisticIT is looking for candidates interested in Python, machine learning, NLP, automation, data processing, APIs, model evaluation, and AI-powered applications. This opportunity is ideal for ...

Gusto

Head of AI and Machine Learning Engineering

They are seeking a strategic Head of AI and Machine Learning Engineering to lead the development and implementation of AI/ML systems that enhance customer experiences and improve operational ...

Stackruit Ltd.

Machine Learning

San Francisco, CA · On-site

$200 - $250/hr

Be an AI Rockstar! First Machine Learning Engineer (US Remote - $200k-$250k) Do you dream of using machine learning to empower businesses to take action on their data? Join a mission-driven company!

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Machine Learning Ai information

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$25.5K

$42.6K

$88K

How much do machine learning ai jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning ai in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a machine learning AI?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What are the key skills and qualifications needed to thrive as a machine learning AI?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What are some common challenges faced when collaborating with cross-functional teams as a machine learning AI?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

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Machine Learning Ai jobs near you
Infographic showing various Machine Learning Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Research Scientist, Machine Learning / AI

Basis Research Institute

Manhattan, NY • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Basis Research Institute is a nonprofit applied AI research organization focused on understanding and building intelligence as well as advancing society's ability to solve intractable problems. The Research Scientist will lead efforts to develop a deeper understanding of the principles of intelligence and work collaboratively to solve scientific and societal challenges.
Responsibilities:
• Develop and explore computational theories of intelligence, including reasoning, learning, and decision-making.
• In close collaboration with domain experts inside and especially outside Basis, work as a team member to help solve scientific and societal problems
• Distill insights from solving problems into more general mathematical and computational theories
• Develop and maintain open-source software
• (Optionally) Publish and present findings in journals and conferences
• Contribute to the culture and direction of Basis
Qualifications:
Required:
• Demonstrated ability to do scientific research that is of high-quality. Possible ways to demonstrate this include publications, technical reports, and software projects.
Preferred:
• PhD (or equivalent experience) in technical areas, including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics.
• Excited about solving real world problems and having positive societal impact.
Company:
Basis is a nonprofit applied research organization with two mutually reinforcing goals. The first is to understand and build intelligence. Founded in 2022, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.

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