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Entry Level Artificial Intelligence Machine Learning Jobs

CoVar

Machine Learning Engineer

Durham, NC · On-site

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. In this role, you will help develop software and machine learning ...

Accelint

Machine Learning Engineer

D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field. * Experience deploying and maintaining production-scale NLP or LLM applications.

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Entry Level Artificial Intelligence Machine Learning information

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How much do entry level artificial intelligence machine learning jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for entry level artificial intelligence machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

Do entry-level machine learning jobs exist?

Yes, entry-level machine learning jobs are available and typically require foundational skills in programming, data analysis, and understanding of algorithms. These roles often involve supporting data scientists and engineers, and may require familiarity with tools like Python, TensorFlow, or scikit-learn. They are suitable for recent graduates or those transitioning into AI and ML fields.

Can I get an AI job with no experience?

Entry level artificial intelligence and machine learning roles often require some foundational knowledge of programming, data analysis, and algorithms, but many employers are open to candidates with relevant skills gained through online courses, certifications, or personal projects. Gaining experience through internships, projects, or certifications in tools like Python, TensorFlow, or scikit-learn can improve your chances of securing an entry-level AI position without prior professional experience.

What is the difference between Entry Level Artificial Intelligence Machine Learning vs Data Analyst?

AspectEntry Level Artificial Intelligence Machine LearningData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; some certifications in AI/MLBachelor's in Statistics, Data Science, or related; certifications in data analysis tools
Work EnvironmentTech companies, R&D labs, startups; focus on developing AI/ML modelsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageUsed in AI product development, automation, and researchUsed in business intelligence, reporting, and decision-making

Entry Level Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often requiring programming skills and knowledge of algorithms. Data Analysts interpret data to provide insights, primarily working with data visualization and statistical tools. While both roles handle data, AI/ML positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation for business decisions.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in AI and machine learning, and leadership responsibilities, with compensation including salary, bonuses, and stock options. Entry-level roles in AI and machine learning generally have lower salaries, but top executive positions can reach or exceed this figure.

What is the most entry-level AI job?

An entry-level AI job typically refers to roles such as AI intern, junior machine learning engineer, or data analyst with a focus on AI projects. These positions often require foundational knowledge of programming languages like Python, basic understanding of machine learning concepts, and familiarity with tools such as TensorFlow or scikit-learn.
What cities are hiring for Entry Level Artificial Intelligence Machine Learning jobs? Cities with the most Entry Level Artificial Intelligence Machine Learning job openings:
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs? The most popular types of Artificial Intelligence Machine Learning jobs are:
What states have the most Entry Level Artificial Intelligence Machine Learning jobs? States with the most job openings for Entry Level Artificial Intelligence Machine Learning jobs include:
Entry Level Artificial Intelligence Machine Learning jobs near you

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 7 days ago

Job description

Job Description

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

As the Staff Machine Learning Engineer, you own the execution layer of intelligence.  You translate research direction into reliable, scalable, production-grade Machine Learning (ML) systems.  This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints.  This position is 100% Remote.

Staff Machine Learning Engineer Responsibilities:

- Own end-to-end Machine Learning (ML) system execution:  data pipelines, training workflows, evaluation systems, inference architecture, and deployment.

- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.

- Architect and operate scalable inference systems, balancing latency, cost, and reliability.

- Design and maintain data systems for high-quality synthetic and real-world training data.

- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.

- Collaborate closely with application engineering to integrate Machine Learning (ML) systems cleanly into backend, mobile, and desktop products.

- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

- Work under real production constraints: latency, cost, reliability, and safety

Staff Machine Learning Engineer Outcomes

- Research and models reliably translate into production-ready solutions with clear performance and quality targets.

- Machine Learning (ML) pipelines, training loops, and inference systems are stable, efficient, and maintainable.

- Production issues are detected, debugged, and resolved quickly, minimizing user impact.

- Team members are supported, aligned, and able to deliver high-impact Machine Learning (ML) work with minimal friction.

- Iterations on models and systems are measurable, safe, and improve user experience over time.

Qualifications

Staff Machine Learning Engineer Qualifications:

- Experience building or shipping real Machine Learning (ML) systems used by people, not just demos.

- Artificial Intelligence (AI) experience required.

- Experience working with large models and understanding their failure modes.

- Experience writing strong, production-grade code.

- You are self-directed, pragmatic, and take full ownership of outcomes.

- Experience communicating clearly and collaborate well in small, high-trust teams.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Staff Machine Learning Engineer, Data Pipelines, DPO, GPU, JAX, LoRA, Machine Learning Engineer, ML, Machine Learning, Python, PyTorch, QLoRA, SFT, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Staff Machine Learning Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Staff Machine Learning Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

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