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Ai Machine Learning Engineer Jobs (NOW HIRING)

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AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

Knowledge of Machine Learning and Generative AI frameworks * Strong engineering fundamentals and problem-solving skills * A builder mindset -- curious, resourceful, fast-moving, and focused on ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

... AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams ... Five (5) or more years of experience in data engineering, data science, or a related role, with ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$92K - $126K/yr

... AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams ... Five (5) or more years of experience in data engineering, data science, or a related role, with ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

Veritone, Inc.

AI/Machine Learning Engineer

Irvine, CA · On-site

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Intellivo

Sr. AI/Machine Learning Engineer

Memphis, TN · Remote

$107K - $146K/yr

Sr. AI/Machine Learning Engineer Department IT and Programming Employment Type Full-Time, Remote (Memphis, TN candidates preferred for in-office collaboration) Minimum Experience Experienced Role ...

Intellivo

Sr. AI/Machine Learning Engineer

Memphis, TN · Remote

$101K - $139K/yr

Sr. AI/Machine Learning Engineer Department IT and Programming Employment Type Full-Time, Remote (Memphis, TN candidates preferred for in-office collaboration) Minimum Experience Experienced Role ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

... AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams ... Five (5) or more years of experience in data engineering, data science, or a related role, with ...

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Ai Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do ai machine learning engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for ai machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is an AI machine learning engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

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

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI machine learning engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

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

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

Is AI Machine Learning Engineer in demand?

AI Machine Learning Engineers are in high demand due to the growing adoption of artificial intelligence across industries. They typically require skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch, and job opportunities are expected to continue expanding as AI applications become more widespread.
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Ai Machine Learning Engineer jobs near you
Infographic showing various Ai Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Founding AI/Machine Learning Engineer

San Francisco, CA • On-site

TriFetch
See more jobs at TriFetchexternal

Full-time

Re-posted 13 days ago

Job description

Job Summary:
TriFetch is a company focused on AI and machine learning solutions, and they are seeking a Founding AI/Machine Learning Engineer. The role involves architecting post-training stacks, leveraging proprietary data for model fine-tuning, and collaborating with co-founders to define the research roadmap.
Responsibilities:
• Architect the Post-Training Stack: Lead the design and execution of alignment pipelines (SFT, RLHF, RLAIF) that bridge the gap between "exam-passing" models and "clinically useful" systems.
• Leverage Proprietary Data: Utilize our proprietary and open source medical datasets to fine-tune models on edge cases that generic models miss.
• Novel Technique Experimentation: Research and implement cutting-edge post-training methods to optimize model performance, aiming for improvements in calibration and reliability critical for healthcare.
• Safety & Evaluation: Build rigorous evaluation frameworks (LLM-as-a-judge, benchmarks) to detect hallucinations, ensure clinical correctness, and guarantee safety before deployment.
• Strategic Collaboration: Work directly with the co-founders to define the research roadmap and platform strategy.
Qualifications:
Required:
• Hands-on experience with post-training models for specific applications (SFT, RLHF, RLAIF, Reward Modeling, Knowledge Distillation, etc)
• Deep understanding of Transformer architectures (attention mechanisms, positional encodings) and ML systems
• Experience with distributed training frameworks and optimizing training jobs on GPU clusters
• You thrive in ambiguous environments, learn quickly, and have a bias toward action
• Proficiency in Python, PyTorch
• Familiarity with the modern open-source LLM stacks (HuggingFace, Vertex, Vercel, etc.)
Preferred:
• Healthcare experience
• Published research in high-impact journals or top-tier ML/AI conferences (NeurIPS, ICML, ICLR, CVPR, ACL)
• Background working or interning at top research labs (e.g., FAIR, DeepMind, OpenAI, Google DM, MSR, Stanford/CMU/MIT labs)
• Experience dealing with multimodal health data, clinical reasoning, or safety-critical ML systems
• You have founded a company, built early-stage products, or enjoy the 'zero-to-one' phase of building
Company:
TriFetch is a San Francisco-based healthcare AI startup focused on bridging AI foundations with practical healthcare applications. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

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