Associate AI Engineer Jobs
Associate AI Engineer jobs are open across technology, healthcare, finance, and enterprise software, from new-grad to mid-level, with specializations in machine learning engineering, natural language processing, and computer vision. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 3,863+ Associate AI Engineer jobs
Who We Are
About the Opportunity
What You'll Be Doing
- Build, evaluate, and deploy machine learning models for fraud and risk detection.
- Improve data quality, features, and model performance, balancing fraud detection with customer experience.
- Develop AI agents to support investigations, summarize cases, retrieve evidence, and automate routine workflows.
- Use AI coding tools to accelerate development, testing, and debugging while reviewing and validating their output.
- Work with engineering, product, and risk teams to deploy solutions and monitor their impact.
What We Look For In You
- A strong foundation in machine learning, with hands-on experience in deep learning and tree-based models such as XGBoost or LightGBM.
- Strong Python skills and experience training, evaluating, and deploying models.
- Some practical experience building AI agents or LLM applications, including tool calling, retrieval, or workflow automation. Prototypes and personal projects are welcome.
- Regular use of AI coding tools, with the ability to understand, test, and improve generated code.
- Familiarity with databases and data pipelines for preparing training data and supporting ML workflows.
- Good problem-solving, communication, and collaboration skills.
Nice to Haves
- Experience in account takeover (ATO), scam detection, or other fraud and risk use cases.
- Experience with LLM training, fine-tuning, evaluation, and alignment.
- Experience with reinforcement learning algorithms and their practical implementation.
- Experience with real-time ML systems, imbalanced datasets, or model explainability.
- Prior fraud or risk experience is helpful
- Fluency in Mandarin
Perks & Benefits
- Competitive total compensation package
- L&D programs for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
Who We Are
About the Opportunity
What You'll Be Doing
- Build, evaluate, and deploy machine learning models for fraud and risk detection.
- Improve data quality, features, and model performance, balancing fraud detection with customer experience.
- Develop AI agents to support investigations, summarize cases, retrieve evidence, and automate routine workflows.
- Use AI coding tools to accelerate development, testing, and debugging while reviewing and validating their output.
- Work with engineering, product, and risk teams to deploy solutions and monitor their impact.
What We Look For In You
- A strong foundation in machine learning, with hands-on experience in deep learning and tree-based models such as XGBoost or LightGBM.
- Strong Python skills and experience training, evaluating, and deploying models.
- Some practical experience building AI agents or LLM applications, including tool calling, retrieval, or workflow automation. Prototypes and personal projects are welcome.
- Regular use of AI coding tools, with the ability to understand, test, and improve generated code.
- Familiarity with databases and data pipelines for preparing training data and supporting ML workflows.
- Good problem-solving, communication, and collaboration skills.
Nice to Haves
- Experience in account takeover (ATO), scam detection, or other fraud and risk use cases.
- Experience with LLM training, fine-tuning, evaluation, and alignment.
- Experience with reinforcement learning algorithms and their practical implementation.
- Experience with real-time ML systems, imbalanced datasets, or model explainability.
- Prior fraud or risk experience is helpful
- Fluency in Mandarin
Perks & Benefits
- Competitive total compensation package
- L&D programs for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
See All 3,863+ Associate AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Associate AI Engineer JobsAssociate AI Engineer Job Market
Who's Hiring
- Apple355
- Google104
- Robotics Technologies97
- Mastercard58
- ServiceNow54
Top Industries Hiring
- Technology & Software120
- Electronics & Hardware66
- Accounting & Auditing15
- Insurance8
- Chemicals & Materials8
What Employers Look For
The qualifications that appear most often in associate AI engineer jobs.
- Bachelor's degree in computer science, data science, or a related technical field
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience building, training, or fine-tuning machine learning models in a project or academic setting
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques
- Exposure to cloud platforms such as AWS, Google Cloud, or Azure for model deployment
- Strong communication skills to present model results and trade-offs to non-technical stakeholders
Tips for Your Associate AI Engineer Job Search
Tailor your resume to each stack
Hiring managers for associate ai engineer roles scan for specific frameworks like PyTorch, TensorFlow, or Hugging Face. Pull the exact tool names from each job description and mirror them in your experience bullets so your resume clears automated screening.
Show model outputs, not just model names
Recruiters see dozens of resumes listing the same libraries. What stands out is a concrete result: accuracy improvement, latency reduction, or a deployed endpoint. Quantify what your model actually did in production or in a capstone project.
Apply early to roles that fit
Migrate Mate lists associate ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name a team
Job descriptions that mention a specific team, product line, or model type signal an active, funded headcount. Generic postings from large enterprises often sit open for months. Prioritize listings with clear team context and a named hiring manager or department.
Prepare a whiteboard ML design answer
Most associate ai engineer technical screens include a system design component: design a recommendation engine or a text classifier from scratch. Practice narrating your data pipeline, feature choices, and evaluation metrics out loud before the interview, not just on paper.
Negotiate scope, not just base pay
At the associate level, the projects you own in your first year shape your promotion timeline. When you receive an offer, ask which model or product area you'd be working on and whether there's a path to owning a full pipeline. That context matters as much as the number.
Associate AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most associate ai engineers?
The most active employers for associate ai engineers right now are Apple, Google, and Robotics Technologies, and the most openings are in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is spread across both large tech companies and enterprise software firms building internal AI capabilities.
How many associate ai engineer jobs are remote?
About 82% of associate ai engineer openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility in this discipline. Roles focused on natural language processing and machine learning research tend to have the highest remote availability, while positions requiring on-site GPU clusters or hardware integration are more likely to be in-person.
How do you become an associate ai engineer?
Start by building a foundation in Python, linear algebra, and probability, then work through machine learning fundamentals using publicly available datasets. Complete at least one end-to-end project that covers data preparation, model training, evaluation, and a deployed output. Publish the work on a code repository. Apply to roles that match the tools and domains you practiced, and be specific about what each project produced.
Can you get hired as an associate ai engineer with little experience?
Yes, employers hiring at the associate level expect candidates to have project experience rather than years of professional history. A strong portfolio of two or three self-directed or academic projects that demonstrate data handling, model building, and clear results can substitute for a long work history. Focus on roles that list coursework or internships as acceptable experience, and be explicit about your contributions on each project.
What does the associate ai engineer interview process look like?
Most processes start with a recruiter screen to confirm background and role fit, followed by a technical phone screen covering Python, statistics, and basic ML concepts. A take-home or live coding exercise typically involves cleaning a dataset or building a simple model. The final round usually includes a technical interview with the engineering team and a behavioral round focused on communication and problem-solving approach.
Where can I find and apply to associate ai engineer jobs?
You can find and apply to associate ai engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your skills and location preference, then apply directly to each one that fits. New listings are added regularly, so checking back frequently gives you access to the latest openings.
See All 3,863+ Associate AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Associate AI Engineer Jobs