Associate Machine Learning Engineer Jobs
Associate Machine Learning Engineer jobs are open across technology, finance, healthcare, and research institutions, at levels from new-grad to mid-level, with specializations in model training, natural language processing, and computer vision. See the openings below and apply to the ones that match your experience.
Find JobsLooking for remote work? View remote associate machine learning engineer jobs →Overview
Showing 5 of 2,418+ Associate Machine Learning Engineer jobs
The opportunity
Unity is building next-generation intelligence systems for gaming: systems that help AI-native teams understand the market and get the most out of the frontier models.
We are hiring a Senior Machine Learning Engineer to lead this effort. You will own the end-to-end architecture, build pipelines, systems, and models, and scale a cross-disciplinary team of engine developers, game developers, and machine learning engineers. The work spans market forecasting, outcome prediction, multimodal content understanding, evaluation, and agentic systems.
What you'll be doing
Technical Excellence
- Work on our Game Intelligence ML platform, from data ingestion, semantic layer and feature stores through model registry, evaluation and serving.
- Make the calls that keep every model output reproducible and auditable: versioned data snapshots, model and prompt versions, and cost tracked per decision.
- Define, lead, and spearhead engineering practices for the agentic era, including agentic development workflows and evaluation methodologies.
- Partner with different functional teams and disciplines to translate expert human judgment into training signals. Shape the roadmap with the product team.
Modeling
- Build predictors of commercial outcomes for games such as user acquisition cost, lifetime value and return on ad spend from large, noisy, multi-source signals.
- Build forecasting models over market signals that detect emerging demand and estimate when a window opens, peaks and closes.
- Deliver every prediction as a calibrated range with stated confidence, and own the ranking and portfolio logic that turns predictions into recommendations within a budget.
Experimentation and agentic systems
- Design online experimentation with guardrails, safe exploration and clear human decision points.
- Build evaluation harnesses for LLM-based agents, including automated playtesting and multimodal assessment of generated content.
- Orchestrate frontier-model agents in production with strict data boundaries and cost control.
Calibration and measurement
- Own the feedback loop that scores predictions against realized outcomes and corrects bias, coverage and signal weighting over time.
- Make the system report its own error in plain language so that creators and internal stakeholders can trust it.
What we're looking for
- Passion for game industry
- Deep experience in Game, Game Engine development or Game publishing.
- Experience in machine learning with a track record of owning production ML systems or Agentic systems end to end, from data to serving to measured business outcome.
- Deep experience in performance marketing or ad-tech modeling: predicting acquisition cost, lifetime value, return on ad spend, retention or comparable outcomes.
- Strong grounding in probabilistic prediction and calibration: quantile or interval prediction, coverage, bias correction and backtesting of forecasts.
- Experience building LLM-based agent systems in production: orchestration, evaluation harnesses, prompt and model versioning, and cost control.
- Comfort building in a zero-to-one environment.
You might also have
- Experience in mobile game user acquisition, LiveOps or monetization, on the studio or publisher side.
- Experience with Unity game engine, or with automated and bot-driven playtesting.
- Time-series and demand forecasting experience over noisy, multi-source market signals.
- Experience with the Claude Agent SDK, Codex or similar frameworks for multi-agent software production.
- Hands-on experience with BigQuery, ClickHouse, Kafka, Postgres, pgvector or their equivalents.
- Publications or open-source contributions in forecasting, causal inference, calibration or agentic systems.
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
The opportunity
Unity is building next-generation intelligence systems for gaming: systems that help AI-native teams understand the market and get the most out of the frontier models.
We are hiring a Senior Machine Learning Engineer to lead this effort. You will own the end-to-end architecture, build pipelines, systems, and models, and scale a cross-disciplinary team of engine developers, game developers, and machine learning engineers. The work spans market forecasting, outcome prediction, multimodal content understanding, evaluation, and agentic systems.
What you'll be doing
Technical Excellence
- Work on our Game Intelligence ML platform, from data ingestion, semantic layer and feature stores through model registry, evaluation and serving.
- Make the calls that keep every model output reproducible and auditable: versioned data snapshots, model and prompt versions, and cost tracked per decision.
- Define, lead, and spearhead engineering practices for the agentic era, including agentic development workflows and evaluation methodologies.
- Partner with different functional teams and disciplines to translate expert human judgment into training signals. Shape the roadmap with the product team.
Modeling
- Build predictors of commercial outcomes for games such as user acquisition cost, lifetime value and return on ad spend from large, noisy, multi-source signals.
- Build forecasting models over market signals that detect emerging demand and estimate when a window opens, peaks and closes.
- Deliver every prediction as a calibrated range with stated confidence, and own the ranking and portfolio logic that turns predictions into recommendations within a budget.
Experimentation and agentic systems
- Design online experimentation with guardrails, safe exploration and clear human decision points.
- Build evaluation harnesses for LLM-based agents, including automated playtesting and multimodal assessment of generated content.
- Orchestrate frontier-model agents in production with strict data boundaries and cost control.
Calibration and measurement
- Own the feedback loop that scores predictions against realized outcomes and corrects bias, coverage and signal weighting over time.
- Make the system report its own error in plain language so that creators and internal stakeholders can trust it.
What we're looking for
- Passion for game industry
- Deep experience in Game, Game Engine development or Game publishing.
- Experience in machine learning with a track record of owning production ML systems or Agentic systems end to end, from data to serving to measured business outcome.
- Deep experience in performance marketing or ad-tech modeling: predicting acquisition cost, lifetime value, return on ad spend, retention or comparable outcomes.
- Strong grounding in probabilistic prediction and calibration: quantile or interval prediction, coverage, bias correction and backtesting of forecasts.
- Experience building LLM-based agent systems in production: orchestration, evaluation harnesses, prompt and model versioning, and cost control.
- Comfort building in a zero-to-one environment.
You might also have
- Experience in mobile game user acquisition, LiveOps or monetization, on the studio or publisher side.
- Experience with Unity game engine, or with automated and bot-driven playtesting.
- Time-series and demand forecasting experience over noisy, multi-source market signals.
- Experience with the Claude Agent SDK, Codex or similar frameworks for multi-agent software production.
- Hands-on experience with BigQuery, ClickHouse, Kafka, Postgres, pgvector or their equivalents.
- Publications or open-source contributions in forecasting, causal inference, calibration or agentic systems.
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
See All 2,418+ Associate Machine Learning Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsAssociate Machine Learning Engineer Job Market
Who's Hiring
- Apple261
- TikTok133
- Meta65
- Pinterest46
- Uber44
Top Industries Hiring
- Technology & Software401
- Artificial Intelligence89
- Electronics & Hardware56
- Automotive46
- Social Media39
What Employers Look For
The qualifications that appear most often in associate machine learning engineer jobs.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and at least one ML framework such as PyTorch or TensorFlow
- Experience building, training, and evaluating machine learning models on real datasets
- Familiarity with SQL and data preprocessing tools for cleaning and feature engineering
- Understanding of core ML concepts including supervised learning, model evaluation, and regularization
- Exposure to version control systems and collaborative development workflows such as Git
Tips for Your Associate Machine Learning Engineer Job Search
Tailor your resume to each stack
Hiring managers for associate machine learning engineer roles scan for specific frameworks like PyTorch or TensorFlow. Swap in the exact tool names from each job description rather than listing every library you've touched, so your resume clears automated filters and reads as a direct match.
Showcase end-to-end project work
Employers want proof you can move a model from experiment to deployment, not just notebook accuracy scores. Document at least one project where you prepared data, trained a model, evaluated it, and served predictions, even if the scale was small or academic.
Apply early to roles that fit
Migrate Mate lists associate machine learning engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by team size and ML maturity
Early-stage companies often want you to build pipelines from scratch, while larger teams expect familiarity with existing MLOps workflows. Reading the job description for mentions of existing infrastructure or greenfield work helps you target roles where your actual experience maps cleanly.
Prepare for a technical screen and coding round
Most associate machine learning engineer interviews include a live coding segment on data manipulation and a separate ML concept discussion covering topics like bias-variance tradeoff and regularization. Practice both independently because performing well in one doesn't substitute for weakness in the other.
Negotiate your offer using comp components
Base pay is only part of the picture for ML roles at tech-adjacent companies. Ask specifically about compute credits, conference budgets, and equity vesting schedules before accepting, since these vary significantly and affect the real value of competing offers.
Associate Machine Learning Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most associate machine learning engineers?
Apple, TikTok, and Meta are hiring the most associate machine learning engineers right now, with openings concentrated in California, Washington, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially active at companies with large data infrastructure teams or active product personalization initiatives.
How many associate machine learning engineer jobs are remote?
About 51% of associate machine learning engineer openings are fully remote or hybrid as of November 2026, reflecting the role's heavy reliance on cloud-based compute and collaborative tooling that doesn't require on-site presence. Sub-specializations in NLP research and data pipeline engineering tend to have the highest share of fully remote positions.
How do you become an associate machine learning engineer?
Start by building a foundation in linear algebra, probability, and Python, then work through hands-on projects that cover the full model lifecycle from raw data to deployed predictions. A degree in computer science, mathematics, or a related field strengthens your candidacy, though a strong portfolio of documented projects can substitute for formal credentials in some hiring contexts. Contributing to open-source ML repositories and completing recognized coursework in deep learning or applied statistics also signals readiness to employers.
Can you get hired as an associate machine learning engineer with little experience?
Yes, employers hiring at the associate level expect limited professional experience and prioritize demonstrated fundamentals over years on a resume. Build two or three portfolio projects that show you can process a dataset, train a model, evaluate its performance, and explain your decisions. Internships, research assistant roles, or Kaggle competition placements all count as relevant experience and give you concrete work to discuss in interviews.
What does the associate machine learning engineer interview process look like?
Most processes start with a recruiter screen followed by a technical phone interview covering Python and basic ML concepts. A take-home assignment or live coding session typically comes next, often involving data manipulation or model evaluation tasks. The final stage is usually a panel interview where you walk through a past project and answer conceptual questions on topics like overfitting, feature selection, and model deployment tradeoffs.
Where can I find and apply to associate machine learning engineer jobs?
You can find and apply to associate machine learning engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills and experience level, then apply directly to each one that fits.
See All 2,418+ Associate Machine Learning Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs