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aiml - machine learning engineer - computer vision & audio, mind Jobs in Seattle

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aiml machine learning engineer computer vision audio mind

Apple

<div>The Machine Intelligence, Neural Design (MIND) team, part of Apple&rsquo;s AIML organization, is leading Apple-wide innovation on HW/SW co-design for efficient inference. With roots in ML, computer vision, and energy efficiency research, our team is strategically positioned to contribute to diverse initiatives ranging from shipping features in well-known Apple products to ambitious, long-term research projects. 
 
We are seeking a hands-on Machine Learning Engineer to drive the data &amp; evaluation lifecycle for our production models. In this role, you will focus on designing and scaling high-performance data processing pipelines, ensuring data quality, performing in-depth failure analysis on production models, and implementing advanced data augmentation techniques to boost model performance. This includes but is not limited to crafting creative techniques to analyze audio &amp; video datasets, designing metrics to understand user behavior &amp; evaluate performance of machine learning models. You will innovate across the entire end-to-end ML production pipeline, bridging the gap between hardware, software, and modeling, ensuring our ML systems are robust, efficient, and scalable. 
 
Description 
 
We are seeking a Machine Learning Engineer to design and deliver innovative features and models that advance our ML systems. In this role, you will scale model evaluation workflows, build robust data pipelines, and optimize performance across the stack. 
 
Your responsibilities will include: 
 
<ul><li>Pipeline Scaling &amp; Optimization: Design, build, and maintain scalable ETL/ELT data pipelines using tools like Spark, &amp; Airflow to handle large-scale datasets. Optimize existing pipelines for efficiency, latency, and cost.</li></ul> 
<ul><li>Data Augmentation &amp; Synthesis: Research and implement advanced data augmentation techniques (e.g., GANs, semantic augmentation, synthetic data generation) to address data scarcity and imbalanced datasets.</li></ul> 
<ul><li>Data Quality &amp; Monitoring: Implement data observability and automated data validation checks to identify data drift, schema violations, and outliers in real-time.</li></ul> 
<ul><li>Failure Analysis &amp; Debugging: Perform root-cause analysis on production model failures, diagnosing issues between data inputs and model outputs using advanced statistical methods.</li></ul> 
<ul><li>Model Evaluation: Collaborate with other machine learning engineers to productize models, implementing robust evaluation frameworks, including experimentation and performance monitoring.</li></ul> 

Preferred Qualifications 
 
Experience with shipping ML features and products 
 
Experience with GPU-based distributed training &amp; evaluation. 
 
Background in Computer Vision (image augmentation), Audio and Natural Language Processing. 
 
Minimum Qualifications 
 
Proficiency in working with unstructured data, specifically video &amp; audio signals, for object detection, pattern recognition, feature extraction and segmentation. 
 
Proficiency with Python and deep learning frameworks like PyTorch. 
 
Expertise in designing metrics, and conducting metric change &amp; performance analysis for model evaluation. 
 
Strong problem solving skills in analyzing complex, ambiguous problems and clearly presenting sophisticated technical concepts to both expert and non-expert audiences. 
 
Proven track record of contributing to cross functional projects in a collaborative environment. 
 
Self-motivated and curious with creative and critical thinking capabilities and drive to figure out and improve how things work. 
 
High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize. 
 
Strong verbal and written communications skills with demonstrated experience in authoring &amp; presenting analytical insights via papers &amp; presentations. 
 
Experience with large scale training ML models including deep learning based models. 
 
Experience with shipping ML features and products. 
 
Master&rsquo;s degree or equivalent experience in a technical or quantitative field. 
 
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 $139,500 and $258,100, 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.</div>

AIML - Machine Learning Engineer - Computer Vision & Audio, MIND

<div>
 
 Summary
 
 
 
 Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple&rsquo;s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. Within the Data Operations organization, the Capacity Planning &amp; Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling &amp; experimentation, and ad hoc analyses.
 
 
 We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning &amp; optimization with quantitative rigor&mdash;all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods.
 
 
 
 Description
 
 
 
 The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 As a Data Operations Capacity Planning &amp; Analytics Data Scientist, you will:
 </li>
 <li>
 Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development.
 </li>
 <li>
 Evaluate which tasks and data types benefit most from automation and work with customers to optimize against.
 </li>
 <li>
 Translate behavioral insights and empirical trends into optimized project structures, ensuring our annotation workflows are designed for both efficiency and quality before projects launch.
 </li>
 <li>
 Partner with cross-functional teams to design, run, and analyze A/B experiments, establishing best practices for project structure.
 </li>
 <li>
 Contribute to capacity forecasting and optimization by converting quantitative decision-making into forecast drivers and scenarios.
 </li>
 <li>
 Identify key factors that lead to improving productivity and quality.
 </li>
 <li>
 Contribute to development of a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and efficiency gains
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
 </li>
 <li>
 4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals
 </li>
 <li>
 Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization
 </li>
 <li>
 Mastery in SQL-based languages, and proficiency in at least one large-scale data languages
 </li>
 <li>
 Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
 </li>
 <li>
 Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations
 </li>
 <li>
 Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization
 </li>
 <li>
 Passion for AIML and Operations, with a consistent track record of operational results.
 
 
 </li>
 </ul>
 
 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 $172,100 and $258,600, 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&rsquo;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&rsquo;s Employee Stock Purchase Plan. You&rsquo;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 &mdash; 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.
 
 
 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.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

Data Scientist, AIML Data Scientist

We&rsquo;re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us enable that potential for realtime human understanding on Apple devices. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life. 
 
Description 
 
As part of the Video Computer Vision (VCV) team, you will support our ML development and continuously improve our features. Working closely with ML algorithms engineers, data scientists and quality assurance teams, you&rsquo;ll help deploy state-of-the-art computer vision technologies on Apple devices, balancing performance with the compute and power constraints of on-device inference.&quot;,&quot;responsibilities&quot;:&quot;Develop applications and tools for algorithm evaluation, prototyping, and technology demonstrations. 
 
Support teams across Apple by integrating ML and CV components into production systems. 
 
On-device integration of CV/ML algorithms. 
 
Preferred Qualifications 
 
Experience with CoreFoundation, RealityKit and CoreML. 
 
Hands-on experience with CI/CD pipelines and practices. 
 
Experience with live camera streaming applications: Understanding of real-time video pipelines, image transformations, and rendering loops. 
 
Familiarity with common computer vision techniques (e.g., object detection, segmentation, tracking, pose estimation), sequence models for real-time inference and LLMs optimized for on-device performance. 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. 
 
Strong foundational knowledge in Computer Science. 
 
Extensive programming experience in Python, Swift, C++. 
 
Experience working with PyTorch. 
 
Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. 
 
Foundational understanding of machine learning: ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems. 
 
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 $139,500 and $258,100, 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.

On-Device Machine Learning Integration Engineer

Zoom Communications

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
 <div><div><div>Job Posting Text</div></div><div><div><div><div><div><div><div><div><div>
<h1 class="jobSectionHeader">What you can expect
</h1>Join Zoom&rsquo;s GenAI Engineering Team, the group driving innovation behind our AI Companion and next-generation autonomous AI systems. We&rsquo;re passionate about building intelligent, responsible, and scalable AI solutions that empower people to communicate and collaborate more effectively.

<h1 class="jobSectionHeader">About the Team
</h1>As a Principal Machine Learning Engineer, you will design, develop, and deploy advanced LLM-based agent architectures that can reason, plan, and execute complex tasks autonomously. You&rsquo;ll collaborate with cross-functional teams across AI, infrastructure, and product engineering to deliver high-impact AI features that shape the future of Zoom&rsquo;s platform.

<h1 class="jobSectionHeader">Responsibilities
</h1><ul><li>Designing and implementing autonomous agent systems capable of contextual reasoning and adaptive decision-making.</li>
<li>
Developing and optimizing large-scale LLM-powered services, ensuring reliability, safety, and performance.</li>
<li>
Building and maintaining prompt engineering frameworks and tools that enhance model accuracy and consistency.</li>
<li>
Collaborating with product and research teams to translate business needs into scalable AI solutions.</li>
<li>
Implementing safety, evaluation, and monitoring mechanisms for responsible AI deployment.</li>
<li>
Mentoring and guiding other engineers in ML best practices, architecture design, and experimentation workflows</li>
</ul>
<h1 class="jobSectionHeader">What we&rsquo;re looking for
</h1><ul><li>Hold academic qualifications in Computer Science, Artificial Intelligence, Machine Learning, or related field.</li>
<li>
7+ years of experience in machine learning or AI engineering, with expertise in LLMs, NLP, or agentic systems.</li>
<li>
Demonstrate proficiency in Python and experience with frameworks such as PyTorch, Transformers, and LangChain.</li>
<li>
Able to demonstrate understanding of model optimization, evaluation, and safety for AI systems.</li>
<li>
Have experience building and deploying ML models in production environments using Kubernetes, Docker, and AWS.</li>
<li>
Demonstrate collaboration and communication skills; ability to work effectively in cross-functional, diverse teams.</li>
</ul>
</div></div></div></div></div></div></div></div></div>Salary Range or On Target Earnings:
Minimum:
$151,800.00
Maximum:
$332,200.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>
Anticipated Position Close Date:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
03/26/26
Ways of Working 
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits 
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us 
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. 
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. 
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step. 
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.</div>

Principal Machine Learning Engineer

Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences. 
 
We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it. 
 
Description 
 
This is not a standard Data Engineering or Machine Learning role. We are looking for a pioneering engineer to join our team. You will build the systems that securely process, combine, and deliver the critical user and content signals needed for personalization, spanning from edge devices to cloud backends. You will engineer high-performance stacks that transform raw data into governed, discoverable intelligence, ensuring that machine learning models can seamlessly and securely access the right user and content signals regardless of where that data physically resides.&quot;,&quot;responsibilities&quot;:&quot;Architect Hybrid Feature Resolution: Design and build the access layer that abstracts the physical location of data. Ensure that inference systems can seamlessly access real-time on-device context, cloud-based service history, and content metadata through a unified, familiar API. 
 
Engineer Signal Fusion: Build robust, petabyte-scale pipelines that ingest and fuse disparate signals into coherent user profiles and rich content representations. 
 
Architect the Semantic Data Layer: Transform raw data into the high-value signals that train our next-generation ML models. Architect the systems that generate this data and seamlessly integrate it with our training infrastructure. 
 
Optimize for Privacy &amp; Scale: Build highly optimized stacks that extend existing data systems into privacy-constrained environments. Implement data minimization strategies to securely leverage rich user signals without compromising trust. 
 
Cross-Functional Innovation: Partner closely with data systems teams, core compute engineers, and ML teams to ensure the right context is delivered to the right compute environment at the exact right time. 
 
Preferred Qualifications 
 
Hybrid/Edge Computing: Experience building systems that bridge cloud backend systems with on-device or edge compute environments. 
 
Embeddings &amp; Vector Search: Familiarity with generating, managing, and serving dense embeddings for retrieval, ranking, and personalization systems. 
 
Data Governance: Experience building semantic layers, data catalogs, or implementing compliance-by-design in a regulated environment. 
 
Privacy-Preserving Tech: Passion for privacy and an understanding of data minimization strategies, secure enclaves, or Privacy-Enhancing Technologies (PETs). 
 
Minimum Qualifications 
 
BS or MS in Computer Science, Data Engineering, Software Engineering, or a related field. 
 
Senior-Level Experience: A proven track record of shipping complex, large-scale data engineering, feature serving, or machine learning systems to production. 
 
Mastery of Big Data &amp; Serving: Expertise in designing distributed data processing systems using technologies like Spark and Flink, and building low-latency, high-throughput data serving layers or Feature Stores. 
 
Strong Software Engineering: Deep proficiency in Java or Go for building high-performance production backend systems, and Python for model training ecosystems. 
 
Strategic Data Mindset: Demonstrated experience thinking critically about data architecture, including data ontology, discoverability, and bridging distributed data sources. 
 
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 $139,500 and $258,100, 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.

Software Engineer, Data & Machine Learning Systems

Adobe

The Opportunity
 
The Research Engineering & Design Lab within Adobe Research is looking for a Research Engineer with a passion for the unique challenges involved in the development of high-performance ML models, with a particular focus on optimizing the resource consumption of large-scale generative models, including for cloud and on-device deployment. Join our efforts to turn cutting-edge research into new products and features in Adobe's web, desktop and mobile applications, and expand what's possible in tools for creative expression.
 
What you'll Do
 
At Adobe Research, you will work closely with both scientists and engineers to ensure that new technologies being developed for generative AI models, image processing, audio, video, animation, 3D and vector graphics will run efficiently in-cloud and on a variety of platforms. You'll help adapt models and algorithms to the limitations of different systems and devices. You will have the opportunity to:
 Play a key collaborative role in ambitious research projects
 Be valued as a specialist in your domain of expertise
 Build innovative tool that enables users to explore their creative potential
 Contribute to existing Adobe tools as well as completely new applications
 Impact products that are used by tens of millions of people
 Learn from your peers and grow into new opportunities
 
What you need to succeed
 Passion for model optimization/compression and high-performance computing
 Solid deep learning skills, including practical experience in computer vision/natural language processing
 Knowledgeable about the current state of the art in ML efficiency
 Experience in improving the efficiency of mid- to large-scale ML models
 Software engineering expertise
 Proficiency with Python and ML libraries like PyTorch, TensorFlow, JAX, or similar
 Strong communication and collaboration skills
 Ph.D. /Master's degree in Computer Science or a related field, or 3 years of industry experience
 
Additional Desirable Qualifications
 Knowledge of state-of-the-art machine learning methods for large scale multimodal models
 Experience on diffusion model optimization, neural network pruning/knowledge distillation/quantization/architecture search, sub-quadratic attention optimization, efficient architecture design and on-device ML
 Experience with sparse mixture of experts and related techniques
 Experience running ML models within a deployment environment (using TensorRT, AITemplate, CoreML, WinML, TensorFlow Lite, ONNXRuntime or similar)
 Hands-on experience in designing ML models between different platforms (Cloud, mobile, in-browser, etc.)
 Knowledge of design techniques for mobile-friendly ML models
 Proficiency with C++
 
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 $120,700 -- $238,600 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 Washington, the pay range for this position is $146,300 - $211,850
 
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.

Research Engineer

ZOLLER Inc.

<div>ZOLLER Inc. is headquartered in Ann Arbor, Michigan, and is widely known as the global market leader in tool presetting and measuring machines, inspection machines and tool management software. We have offices around the world, are expanding continuously and are interested in self-motivated, experienced professionals. ZOLLER, Inc. is currently seeking an Applications Engineer to support our team.

Applications Engineer

Responsibilities:

Software:
<ul><li>
Calibrating ZOLLER image processing software</li><li>
Modifying software settings according to the customer-specific needs and workflow
<ul><li>Modifying software on-site for format generating for machine-specific data transfer</li><li>
Modifying postprocessors based on the customer machine controls</li></ul>
</li><li>Training customers on ZOLLER machine software and hardware: 95% of training is software; 5% mechanical</li><li>
Installing and training TMS Tool Management Solutions software at customer locations</li><li>
Analyzing, testing, modifying customer systems or software based on system design specifications</li><li>
Advising customers on technical specifications; recommending unique software and computer configurations</li><li>
Managing SQL databases hosted on SQL servers</li><li>
Demonstrating software features during ZOLLER meetings or customer presentations</li></ul> 


Mechanical:
<ul><li>
Performing maintenance on electronic and pneumatic components</li><li>
Installing and mechanical alignment of ZOLLER tool presetter and measuring machines</li><li>
Consulting with users to determine hardware, software or system functional specifications</li><li>
Training customers on hardware: 95% of training is software; 5% mechanical</li><li>
Analyzing, testing or modification of customer systems</li><li>
Understanding complex customer network infrastructures and recognizing customer needs</li><li>
Reading schematics and wiring diagrams related to electrical components</li><li>
Operating system hardware and software to demonstrate tool presetters and analyze malfunctions</li><li>
Advising and making recommendations to management regarding customer satisfaction, product performance and product improvements</li></ul> 


Requirements:
<ul><li>
Must not require sponsorship to work in the United States now or in the future.</li><li>
Bachelor&rsquo;s degree in manufacturing, information technology, software or equivalent work experience</li><li>
Demonstrate strong information technology aptitude, computer networks and related work experience</li><li>
Have experience with computers, networking, software, namely Windows NT and other Windows programs, Microsoft Office, Crystal Reports and DBMS</li><li>
Possess a current passport and valid driver&rsquo;s license</li><li>
Have knowledge of CAM interfaces including Mastercam ESPRIT, Gibbs, Siemens NX, others</li><li>
Have knowledge and experience with NC-programming</li><li>
Work a flexible schedule including weekends</li><li>
Travel Monday through Friday</li><li>
Travel outside of specified region</li><li>
Self-motivation and ability to work independently and within a team</li></ul>

This is a full-time position offering competitive salary commensurate with one&rsquo;s experience, 401K with employer contribution, health and dental insurance, PTO and paid holidays. We are interested in a long-term commitment.</div>

Applications Engineer - WA

Explore 376+ Aiml machine learning engineer computer vision audio mind in Seattle this March. Find roles across top companies and apply now to boost your career.