ml research engineer

Audiience

<div>About Audiience
We're transforming how content is created and trusted in publishing. We deliver technology that is accurate, scalable, and creative - built to elevate both craft and integrity. We attract the best in the business not through traditional methods, but through the solutions we create and the culture we've built.
Our Culture:<ul><li>
Low ego, high confidence &ndash; We sharpen each other through continuous improvement</li><li>
Open communication &ndash; Even when it creates necessary conflict</li><li>
Systems thinking &ndash; We solve complex problems through collaboration</li><li>
Human-centered &ndash; We work because we love what we do, but we are human first</li><li>
Integritycreativity &ndash; We win together or not at all</li></ul>
The Role
We're seeking a Principal AI/ML Research Engineer with savant-level abilities in solving exceptionally hard problems. This is not a role defined by years of experience, pedigrees, or degrees-though those matter. We want tenacious, self-taught learners who master the hardest assignments and continuously improve their craft. If you're young or old, traditionally educated or self-taught, but possess extraordinary ML/LLM/NLP/AI/Big Data capabilities and can articulate complex ideas through comprehensive white papers, we want to talk.
What You'll Do<ul><li>
Design, implement, and improve reinforcement learning algorithms used in model training</li><li>
Work closely with the data team to define reward signals and training objectives</li><li>
Train and refine models using both proprietary and open-weight foundations (e.g. Llama, DeepSeek)</li><li>
Run experiments, analyze results, and iterate based on empirical outcomes</li><li>
Help turn research ideas into stable, repeatable training pipelines</li></ul>
What We're Looking For
Core Technical Expertise
<ul><li>Strong experience with pytorch</li><li>
Solid understanding of reinforcement learning</li><li>
General machine learning experience with large neural networks</li><li>
Ability to debug training instability and performance issues</li><li>
Comfortable working with ambiguous problems and incomplete specs</li></ul>
Communication<ul><li>
Communication excellence &ndash; Can clearly articulate complex technical concepts through comprehensive white papers and documentation of experiments and results</li><li>
Demonstrate ability to explain technical decisions and tradeoffs to other engineers</li></ul>
Background<ul><li>
Degree not required</li><li>
Prior experience as an ml engineer or applied researcher</li><li>
Startup or fast-moving environment experience is a plus</li></ul>
Your Mindset<ul><li>
Problem-solving prowess &ndash; You see problems others don't and solve them in ways others can't</li><li>
Tenacious learner &ndash; Self-taught capabilities and continuous improvement are in your DNA</li><li>
Systems thinker &ndash; You understand how complex systems interact and create elegant solutions</li><li>
Results-oriented &ndash; Bias toward flexibility, impact, and getting it done</li><li>
Collaborative by nature &ndash; You believe we can only win if we do it together</li></ul>
Nice to Have<ul><li>
Experience with fused kernels, cuda, or performance optimization</li><li>
Prior work with large language models</li><li>
Distributed training or large-scale experimentation experience</li><li>
Published research papers or patents in AI/ML</li><li>
Previous startup or early-stage engineering experience</li><li>
Volunteer work</li></ul>
Why Join Us<ul><li>
Solve extraordinary problems with fewer resources than competitors-your impact is magnified</li><li>
Work with brilliant misfits who value craft, integrity, and creativity over politics</li><li>
Shape the future of content creation and trust in publishing</li><li>
Own end-to-end &ndash; From research to production, you'll have agency and impact</li><li>
Continuous learning &ndash; Work at the bleeding edge of AI with teammates who challenge and sharpen you</li></ul>
Location:
This role is fully remote; however, you must be willing to work Pacific Time zone hours. Occasional travel will be required for team workshops.
Come Work With Us!
We offer competitive compensation and benefits, equity, generous time off to recharge, and flexible working hours.
We are an equal opportunity employer committed to building a diverse team. We welcome applications from all backgrounds, especially those who might not check every box but possess the savant-level problem-solving abilities</div>

Principal ML/AI Research Engineer

General Motors (GM)

<div>Job Description
<div>The ML Validation Research Engineer - Early Career will contribute to applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems. This role centers on simulation-based evaluation, performance monitoring and issue observability, uncertainty modeling, scenario coverage automation, and transforming advanced ML research into working prototypes that enhance the efficiency, accuracy, and coverage of ML system validation.
 
 
Key Responsibilities
</div><ul><li>Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines.
</li><li>Develop AI-tools to improve performance monitoring and observability for autonomous vehicle stack
</li><li>Advance ML research for open and and closed loop simulation validation.
</li><li>Develop AI-centric automations to make issue triage and root cause analysis more scalable
</li><li>Develop scenario generation, coverage-guided testing, and rare-event discovery tooling.
</li><li>Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods for autonomy ML systems.
</li><li>Evaluate deep learning modules across perception, prediction, and planning in realistic sensor and traffic simulation.
</li><li>Improve behavioral coverage and hazard-aligned metrics used in release readiness decision making.
</li><li>Collaborate with Simulation, Safety, Systems Engineering, and cross-functional partners.
</li>Author technical documentation, white papers, and contribute to validation methodology standards. 
<li>
</li></ul><div> 
 
Research Focus Areas
</div><ul><li>Scenario synthesis (diffusion models, generative models, counterfactuals)
</li><li>Coverage-based and fuzzing-based evaluation for autonomy behavior
</li><li>Uncertainty estimation, calibration, conformal prediction, OOD detection
</li><li>Robustness testing and perturbation frameworks
</li>Test suite prioritization, failure mining, and regression analysis 
<li>
</li></ul><div> 
 
Required Qualifications
 
</div><ul><li>B.Sc or MS in ML, Robotics, Computer Science, or work related experience
</li><li>Strong proficiency in Python, PyTorch/JAX/TensorFlow
</li><li>Demonstrated ability to translate complex ML research ideas into functional prototypes
</li><li>Experience integrating ML evaluation into CI/CD pipelines
</li><li>Proven research impact through published work, internal tools, or patents
</li><li>Strong communication skills and ability to collaborate cross-functionally
</li></ul>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being&ndash;at work and at home&ndash;so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</div>

ML Validation Research Engineer - Early Career

Adobe

The Opportunity
 We are the market leader in software products and services for the creative & marketing ecosystem with Creative Cloud, Document Cloud, Express, Firefly and Experience Cloud.
 Adobe has made industry-leading progress in addressing the enterprise need for new, scalable ways to create ideas and assets with GenAI-infused workflows and products. Adobe Digital Media’s recent launch of GenAI-powered products for enterprises includes Firefly Services (APIs), Firefly Custom Models, Object Composites, Style Kits and unique AI features within flagship products like Adobe Photoshop, Express and Adobe GenStudio.
 
We are looking for an outstanding Applied ML Research Engineer to research, design, develop and deliver high-profile products that span GenAI features and customization of GenAI Firefly models to empower the next generation of enterprise creators and marketers everywhere by turning creative intent into creative success. As an Applied Research Engineer, you will be the bridge between SOTA research, industry, and real-world applications shaping the future of our core Intelligence Layer powering these GenAI features for enterprises around the world.
 
You will be joining a highly collaborative engineering team working closely with internal product teams and strategic partners. You should be able to drive and solve complex AI problems, have a deep empathy for customers, and deliver tangible results in a team-oriented culture.
 
What you'll do
 <ul>
<li>Research, train, and deploy SOTA ML models for enterprise use-cases</li>
<li>Leverage LLMs to analyze complex data and build advanced knowledge-extraction and insight-generation systems</li>
<li>Explore and iterate on emerging LLM techniques to advance the frontier of Context Engineering</li>
<li>Build and optimize agentic AI workflows that enable users to dynamically interact and refine outputs from ML systems</li>
<li>Develop scalable frameworks to evaluate the accuracy, robustness and usability of complex AI agents</li>
<li>Partner closely with product, UX, business development and strategic partners to translate AI innovations into enterprise-grade production features</li>
<li>Collaborate with AI Research team to constantly explore and evaluate emerging AI technologies and transform research ideas into interactive prototypes</li>
</ul>
What you need to succeed
 <ul>
<li>B.S. or higher in Computer Science, Engineering, Mathematics or a related field</li>
<li>8+ years of hands-on experience building and deploying ML models in production</li>
<li>Demonstrated expertise in training, finetuning, optimizing LLMs / large-scale models</li>
<li>Proficiency in Python and deep knowledge of leading ML frameworks and libraries</li>
<li>Strong passion for AI-driven innovation and a track record of delivering impactful, production-grade AI solutions</li>
<li>Excellent analytical and problem-solving skills with the ability to thrive in a fast-paced, collaborative environment</li>
</ul>
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $211,800 - $306,625
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Lead Machine Learning Engineer

<div>Job Description
<div><div>Role
</div><div>As a Staff ML Validation Applied Scientist on the Software Validation team within the Autonomous Vehicle (AV) organization , you will lead applied machine learning research focused on improving verification and validation of ML components and autonomous driving behavior at scale.
</div><div>You will push the frontier of simulation-led ML validation , creating metrics, tools, and agentic workflows that make it dramatically faster, more automated, and more robust to evaluate autonomy systems across large fleets, diverse scenarios, and continuous release cycles. You will transform advanced ML research into working prototypes and production-grade validation services, including AI validation critics that automatically review model behavior, logs, and simulation traces to surface issues, regressions, and coverage gaps. 
</div><div>About the Organization
</div><div>The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes.
</div><div>The Software Validation team focuses on unlocking software launches and continuous release decisions via simulation-led verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing. 
</div><div>What You&rsquo;ll Do
</div><div>As a Staff ML Validation Research Engineer, you will:
</div><div><ul><li>Lead ML-centric validation strategy for deep learning components across perception , prediction, and planning in AV, defining evaluation methodologies with cross-functional partners.
</li></ul></div><div><ul><li>Build AI validation critics and agentic acceleration workflows using LLM- and model-based agents plus orchestration to automate scenario review, anomaly detection, and end-to-end validation flows.
</li></ul></div><div><ul><li>Prototype ML research into scalable tools by transforming ML research into performant tools integrated into CI/CD and large-scale pipelines, owning key behavior and ML validation services and data pipelines.
</li></ul></div><div><ul><li>Drive simulation-based ML evaluation at scale by evaluating deep learning modules in realistic sensor and traffic simulation and expanding behavioral and scenario coverage tightly linked to ML models.
</li></ul></div><div><ul><li>Provide cross-functional collaboration and leadership across Simulation, Safety, Systems Engineering, Autonomy, and tools teams through reviews, roadmapping , standards, and mentorship focused on high-quality, automation-first software. 
</li></ul></div><div>Your Skills &amp; Abilities
</div></div><div><div><ul><li>8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science , or a related field.
</li></ul></div><div><ul><li>Strong proficiency in Python and at least one systems language (e.g., C++ ), with experience building production systems over large datasets.
</li></ul></div><div><ul><li>Deep understanding of and experience evaluating modern ML for robotic systems .
</li></ul></div><div><ul><li>Hands-on experience using AI agents, LLM-based tools, or workflow orchestration to automate parts of the development, validation, or operations lifecycle.
</li></ul></div><div><ul><li>Demonstrated ability to design and implement behavioral and ML metrics and associated tooling for validation and regression detection of complex ML systems
</li></ul></div><div><ul><li>Strong analytical skills and systems thinking; able to reason about complex AV behavior and ML model interactions and turn insights into code and tools.
</li></ul></div><div><ul><li>Effective communicator who can work across teams and provide technical leadership and mentorship to other engineers and researchers. 
</li></ul></div><div>What Will Give You a Competitive Edge
</div><div><ul><li>Background in autonomous vehicles, vehicle development, or ADAS .
</li></ul></div><div><ul><li>Demonstrated impact from introducing automation and AI-assisted tooling (e.g., AI agents, AI validation critics, smart monitoring) that improved scale, reliability, or engineering velocity in ML validation workflows.
</li></ul></div><div><ul><li>Experience building verification and validation tools or infrastructure for safety-critical ML or control systems.
</li></ul></div><div><ul><li>Experience working with simulation environments and large scenario or telemetry datasets for ML evaluation and behavior validation.
</li></ul>Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
<ul><li><ul><li>The salary range for this role: is $218,800 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
</li><li>Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
</li><li>Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
</li></ul></li></ul></div></div>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being&ndash;at work and at home&ndash;so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</div>

Staff ML Validation Applied Scientist

The Opportunity
 We are the market leader in software products and services for the creative & marketing ecosystem with Creative Cloud, Document Cloud, Express, Firefly and Experience Cloud.
 Adobe has made industry-leading progress in addressing the enterprise need for new, scalable ways to create ideas and assets with GenAI-infused workflows and products. Adobe Digital Media’s recent launch of GenAI-powered products for enterprises includes Firefly Services (APIs), Firefly Custom Models, Object Composites, Style Kits and unique AI features within flagship products like Adobe Photoshop, Express and Adobe GenStudio.
 
We are looking for an outstanding Applied ML Research Engineer to research, design, develop and deliver high-profile products that span GenAI features and customization of GenAI Firefly models to empower the next generation of enterprise creators and marketers everywhere by turning creative intent into creative success. As an Applied Research Engineer, you will be the bridge between SOTA research, industry, and real-world applications shaping the future of our core Intelligence Layer powering these GenAI features for enterprises around the world.
 
You will be joining a highly collaborative engineering team working closely with internal product teams and strategic partners. You should be able to drive and solve complex AI problems, have a deep empathy for customers, and deliver tangible results in a team-oriented culture.
 
What you'll do
 <ul>
<li>Research, train, and deploy SOTA ML models for enterprise use-cases</li>
<li>Leverage LLMs to analyze complex data and build advanced knowledge-extraction and insight-generation systems</li>
<li>Explore and iterate on emerging LLM techniques to advance the frontier of Context Engineering</li>
<li>Build and optimize agentic AI workflows that enable users to dynamically interact and refine outputs from ML systems</li>
<li>Develop scalable frameworks to evaluate the accuracy, robustness and usability of complex AI agents</li>
<li>Partner closely with product, UX, business development and strategic partners to translate AI innovations into enterprise-grade production features</li>
<li>Collaborate with AI Research team to constantly explore and evaluate emerging AI technologies and transform research ideas into interactive prototypes</li>
</ul>
What you need to succeed
 <ul>
<li>B.S. or higher in Computer Science, Engineering, Mathematics or a related field</li>
<li>4+ years of hands-on experience building and deploying ML models in production</li>
<li>Demonstrated expertise in training, finetuning, optimizing LLMs / large-scale models</li>
<li>Proficiency in Python and deep knowledge of leading ML frameworks and libraries</li>
<li>Strong passion for AI-driven innovation and a track record of delivering impactful, production-grade AI solutions</li>
<li>Excellent analytical and problem-solving skills with the ability to thrive in a fast-paced, collaborative environment</li>
</ul>
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $183,300 - $265,350
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Sr Machine Learning Engineer

YO IT CONSULTING

<div><div><div>Engagement Type: Independent Contractor 
Work Mode: Fully Remote 
Contract Type: Project-Based (Short-Term, Extendable)
Role Overview:
collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience.
Key responsibilities
<ul><li>Design and write detailed evaluation suites for machine learning engineering tasks
</li><li>Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
</li></ul>Ideal qualifications
<ul><li>3+ years of experience in machine learning engineering or applied ML research
</li><li>Hands-on experience with model development, experimentation, and evaluation
</li><li>Background in ML research (industry lab or academic setting strongly preferred)
</li><li>Strong ability to reason about ML system design choices and tradeoffs
</li><li>Clear written communication and high attention to technical detail
</li></ul>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
</div></div><div><div><h2 class="jobSectionHeader">Contract and Payment Terms</h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Your work at will not involve access to confidential or proprietary information from any employer, client, or institution.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div></div></div>

Machine Learning Engineer

Apple

Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The Intelligence System Experience (ISE) team within Apple&rsquo;s software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple&rsquo;s AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers! 
 
Description 
 
We&rsquo;re seeking strong senior machine learning engineers to help build next-generation tools for large-scale deep learning. You&rsquo;ll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple&rsquo;s centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities. 
 
In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions. We are especially looking for a PyTorch-focused ML efficiency expert to optimize training and inference performance, improve distributed training throughput, and drive system-level efficiency for large-scale models. If you have deep experience with PyTorch internals and high-performance ML infrastructure, we&rsquo;d love to hear from you. 
 
Preferred Qualifications 
 
Experience developing model parallel and data parallel training solutions and other training optimizations 
 
Experience with parallel training libraries such as torch.distributed, DeepSpeed, or FairScale 
 
Experience with CUDA-level optimization 
 
Experience building ML models targeting Apple Silicon 
 
Experience building large-scale deep learning infrastructure or platforms for distributed model training 
 
Publication record at Machine Learning conferences such as MLSys, NeurIPS, etc. 
 
Minimum Qualifications 
 
PhD or Master's degree in the area of Computer Science, or equivalent years of industry experience 
 
3+ years working with AI/ML technologies in production or research settings 
 
Strong Python programming skills 
 
Understanding software design principles, and algorithms 
 
Experience with deep learning frameworks, such as PyTorch 
 
Experience building large-scale distributed systems 
 
Familiarity with parallelization algorithms for large model training 
 
Familiarity with recent developments in foundation model architectures 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Machine Learning Efficiency Engineer - SIML, ISE

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