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Machine Learning Assistant Jobs (NOW HIRING)

Jane Street

Machine Learning Educator

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... assistants, our internal stack for training models, and how to reason about performance. We're ...

Jane Street

Machine Learning Educator

New York, NY

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... assistants, our internal stack for training models, and how to reason about performance. We're ...

Apple

Machine Learning (MLOps) Engineer

Cupertino, CA · On-site

As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring ... Comfort using LLM-based tools such as Claude, Gemini, or ChatGPT to assist with code generation ...

NYU Langone Health

Machine Learning Engineer

Manhattan, NY · On-site

$84K - $126K/yr

Implement our internal security and data protection standards in AI applications; assist the team ... of AI, machine learning, and deep learning 5. Experience with AI platforms like PyTorch or ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

One of the team's major focus areas is the Commerce and Support Assistant (CSA), an LLM-driven ... Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing ...

NYULMC

Machine Learning Engineer

New York, NY · On-site

Implement our internal security and data protection standards in AI applications; assist the team ... of AI, machine learning, and deep learning 5. Experience with AI platforms like PyTorch or ...

Autodesk

Senior Machine Learning Engineer

California, MD · On-site +1

$100K - $137K/yr

One of the team's major focus areas is the Commerce and Support Assistant (CSA), an LLM-driven ... Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing ...

Autodesk

$86K - $119K/yr

One of the team's major focus areas is the Commerce and Support Assistant (CSA), an LLM-driven ... Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

Vectara

Machine Learning (ML) Engineer

Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

Turion Space

Machine Learning Engineer

Irvine, CA

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the deployment of MLOps processes and techniques * Assist in the development of ...

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Machine Learning Assistant information

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How much do machine learning assistant jobs pay per hour?

As of Jul 9, 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 are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
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Machine Learning Assistant jobs near you
Machine Learning Engineer

Machine Learning Engineer

Virtualitics, Inc

Washington, DC

Full-time

Re-posted 22 days ago

Job description

Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission-critical challenges with AI. 

Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. 

Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves.

If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here.

 
Machine Learning Engineer - US TS/SCI Clearance (DC Metropolitan Area)
 
Virtualitics is trailblazing Intelligent Exploration and Enterprise AI with our cutting-edge AI Platform. We are hiring an ML Engineer with the capability and readiness to obtain a U.S.-government security clearance. This role is pivotal in bridging the worlds of machine learning, data engineering, and software development to enhance our AI data applications. Career advancement opportunities are available for those interested
in senior engineering positions and technical leadership.
 

As an ML Applications Engineer, you will:

  • Spearhead platform upgrades, ensuring our products are at the forefront of innovation and effectiveness.

  • Craft and manage dynamic dashboards using the Virtualitics AI Platform Python SDK, transforming data into intuitive visuals for decision-making.

  • Optimize data access patterns, enhancing the efficiency and performance of our AI solutions.

  • Tackle runtime performance issues, ensuring high responsiveness and stability of applications.

  • Architect robust, scalable, and user-friendly applications, considering current trends and future growth.

  • Collaborate closely with Technical Product Managers to drive usability enhancements, ensuring our products meet and exceed user expectations.

Requirements:

  • A degree in Computer Science or related field, or 4+ years of software engineering experience.

  • Must have a TS/SCI security clearance.

  • Must be willing to travel and work from a SCIF as needed.

  • Proven track record of deploying software into production environments.

  • Proficiency in Python with a solid understanding of Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.).

  • Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc).

  • Familiarity with Docker, Kubernetes, and Git.

  • Exceptional problem-solving skills and a keen sense of ownership.

  • Excellent communication skills in English, both written and verbal.

Pluses:

  • Experience in Machine Learning Engineering roles and the end-to-end lifecycle of AI applications, from model development to deployment.

  • Experience with Predictive Maintenance, Supply Chain, Scheduling Optimization, etc.

  • Experience with PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc. 

  • 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) or app building kits like Streamlit/Plotly Dash.

Compensation and Benefits:

  • Competitive salary/equity/bonus based on experience and education.

  • Comprehensive benefits package including medical, dental, and vision.

  • Unlimited paid time off.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.