associate machine learning engineer Jobs in Seattle

associate machine learning engineer

machine learning engineer, model customization, generative ai innovation center Jobs in Seattle

machine learning engineer, model customization, generative ai innovation center

product designer, ml tooling Jobs in Seattle

product designer, ml tooling

senior full-stack engineer, ai financial actions & recommendations Jobs in Seattle

senior full-stack engineer, ai financial actions & recommendations

software design engineer

sr machine learning engineer

PitchBook

<div><div><p>At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.</p>
<p>
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
</p><p>If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</p></div><p></p>
<p><b>
About the Role:</b></p>
<p>
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.</p>
<p>
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!</p>
<p>
As a Senior Machine Learning Engineer (MLE) on the AI &amp; ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.</p>
<p>
You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy.</p>
<p>
Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security.</p>
<p><b>
Primary Job Responsibilities:</b></p>
<ul>
<li>Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities</li>
<li>Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards</li>
<li>Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices</li>
<li>Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams</li>
<li>Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals</li>
<li>Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities</li>
<li>Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects</li>
<li>Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices</li>
<li>Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles</li>
<li>Support the vision and values of the company through role modeling and encouraging desired behaviors</li>
<li>Participate in various company initiatives and projects as requested</li>
</ul>
<p><b>Skills and Qualifications:</b></p>
<ul>
<li>Bachelor's or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred</li>
<li>6+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction</li>
<li>Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch</li>
<li>Experience delivering production-grade GenAI or LLM-based systems with measurable business impact</li>
<li>Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus</li>
<li>Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake</li>
<li>Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus</li>
<li>Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes</li>
<li>Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions</li>
<li>Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams</li>
<li>Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage</li>
<li>Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred</li>
<li>Must be authorized to work in the United States without the need for visa sponsorship now or in the future</li>
</ul>
<p><b>Benefits + Compensation at PitchBook:</b></p>
<p>
Physical Health</p>
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
<p>Emotional Health</p>
<ul>
<li>Paid sabbatical program after four years</li>
<li>Paid family and paternity leave</li>
<li>Annual educational stipend</li>
<li>Ability to apply for tuition reimbursement</li>
<li>CFA exam stipend</li>
<li>Robust training programs on industry and soft skills</li>
<li>Employee assistance program</li>
<li>Generous allotment of vacation days, sick days, and volunteer days</li>
</ul>
<p>Social Health</p>
<ul>
<li>Matching gifts program</li>
<li>Employee resource groups</li>
<li>Subsidized emergency childcare</li>
<li>Dependent Care FSA</li>
<li>Company-wide events</li>
<li>Employee referral bonus program</li>
<li>Quarterly team building events</li>
</ul>
<p>Financial Health</p>
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li><i>Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.</i></li></ul>
<p>
Compensation</p>
<ul>
<li>Annual base salary: $170,000-$240,000</li>
<li>Target annual bonus percentage: 10%</li>
</ul>
<p><b>Working Conditions:</b></p>
<p>
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments&mdash;those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices&mdash;that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.</p>
<p>
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.</p>
<p>
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.</p>
<p>
#LI-MS1</p>
<p>
#LI-Onsite</p></div><p></p>

Sr. Machine Learning Engineer

<div><div><p>At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.</p>
<p>
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
</p><p>If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</p></div><p></p>
<p><b>
About the Role:</b></p>
<p>
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.</p>
<p>
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!</p>
<p>
PitchBook's Associate Machine Learning Engineer is responsible for using machine learning, statistical modeling, and Natural Language Processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role requires curiosity and a strong desire to learn. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.</p>
<p><b>
Primary Job Responsibilities:</b></p>
<ul>
<li>Use natural language processing (NLP) and machine learning techniques to create novel views of private industry data</li>
<li>Analyze and extract features from large amounts of unstructured data, determine most relevant features, and use clustering algorithms to drive insight into the data</li>
<li>Analyze textual data such as articles and conversations to identify novel signals of private company performance</li>
<li>Work closely with Product and Engineering teams to establish scalable, efficient, and automated processes for large scale data analyses and models</li>
<li>Contribute to thought leadership on Data Science and Machine Learning best practices by staying informed of current trends in industry</li>
<li>Support the vision and values of the company through role modeling and encouraging desired behaviors</li>
<li>Participate in various company initiatives and projects as requested</li>
</ul>
<p><b>Skills and Qualifications:</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Machine Learning, Statistics, or related field</li>
<li>Experience in a similar role in a production environment</li>
<li>Experience or exposure with natural language processing (NLP)</li>
<li>Experience or exposure with Python, R, or other relevant programming frameworks</li>
<li>Experience or exposure in using SQL for data extraction</li>
<li>Strong communication and data presentation skills</li>
<li>Strong problem-solving ability</li>
<li>Ability to communicate complex analysis in a clear, precise, and actionable manner</li>
<li>Experience working closely a with software development team(s) a plus, but not required</li>
<li>Financial services, investment, banking, venture capital and/or private equity knowledge, but not required</li>
<li>Must be authorized to work in the United States without the need for visa sponsorship now or in the future</li>
</ul>
<p><b>Benefits + Compensation at PitchBook:</b></p>
<p>
Physical Health</p>
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
<p>Emotional Health</p>
<ul>
<li>Paid sabbatical program after four years</li>
<li>Paid family and paternity leave</li>
<li>Annual educational stipend</li>
<li>Ability to apply for tuition reimbursement</li>
<li>CFA exam stipend</li>
<li>Robust training programs on industry and soft skills</li>
<li>Employee assistance program</li>
<li>Generous allotment of vacation days, sick days, and volunteer days</li>
</ul>
<p>Social Health</p>
<ul>
<li>Matching gifts program</li>
<li>Employee resource groups</li>
<li>Subsidized emergency childcare</li>
<li>Dependent Care FSA</li>
<li>Company-wide events</li>
<li>Employee referral bonus program</li>
<li>Quarterly team building events</li>
</ul>
<p>Financial Health</p>
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li><i>Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.</i></li></ul>
<p>
Compensation</p>
<ul>
<li>Annual base salary: $110,000-$150,000</li>
<li>Target annual bonus percentage: 7.5%</li>
</ul>
<p><b>Working Conditions:</b></p>
<p>
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments&mdash;those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices&mdash;that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.</p>
<p>
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.</p>
<p>
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.</p>
<p>
#LI-MS1</p>
<p>
#LI-Onsite</p></div><p></p>

Associate Machine Learning Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including:<br>
<br>
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront.<br>
<br>
Key job responsibilities<br>
As an AWS Software Development Engineer, you will:<br>
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul><br>
A day in the life<br>
On a typical day as an AWS SDE, you might:<br>
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul><br>
About the team<br>
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect:<br>
<br>
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of building complex software systems experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer

Gates Foundation

<div><div>The Foundation</div><div>
We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we&rsquo;re committed to creating an environment for you to thrive both personally and professionally.</div><div></div><div>
The Team</div>
The Foundation Strategy Office is the primary function supporting the creation and evolution of our program level strategies as well as exploring new paths to impact that align with our mission. This includes supporting the CEO, CFO, and Chief Strategy Officer in key accountabilities like strategy development, strategy revision, strategy performance measurement, portfolio management, and special initiatives to accelerate the impact of the foundation.<br>
<br>
We are a close-knit team that places a significant emphasis on maintaining and growing our positive, humble, and intellectually curious culture. We believe that small groups of deeply committed team members can do phenomenal things. We encourage debate and discussion of tough issues and are committed to the success of our clients. We invest proactively in each other&rsquo;s personal and professional growth.<div></div><div>
Your Role</div><div>
As an Associate Strategy Officer, you will work in a hybrid arrangement and will report to the Deputy Director, Foundation Strategy Office. You will support critical strategy projects within the foundation by crafting and implementing qualitative and quantitative analyses, synthesizing and communicating key insights to partners, and managing clients.</div><div><br>
You will support the development, prioritization, and launch of new foundation strategies and initiatives for Global Education, Gender Equality, Malaria, Family Planning, MNCH, Nutrition, Philanthropic Partnerships, K-12 Education, Executive Leadership Team, Artificial Intelligence, Machine Learning, and many more.</div><div></div><div>
What You'll Do</div><ul><li>
Employ strategic resources to develop and assess options, ensure sound reasoning, and challenge assumptions.</li><li>
Liaise closely with internal clients to co-develop and test strategy concepts and facilitate organizational change.</li><li>
Support the implementation of creative solutions to guide strategic decisions, team operations, and ways of working.</li><li>
Contribute to the identification and implementation of research and analytical methodologies to support decision-making.</li><li>
Support (Sr.) Strategy Officers with the day-to-day ownership of the strategic process and mobilization of discrete bodies of work.</li><li>
Regularly contribute to team development &ldquo;extra 10s&rdquo;, such as team vision and goal refinement, professional development, training, recruiting, onboarding, team social events, retreats, foundation-wide activities, etc.</li></ul><div></div><div>
Your Experience</div><ul><li>
Bachelor&rsquo;s degree or equivalent experience in strategic planning and consulting</li><li>
Experience at a top-tier management consulting firm</li><li>
Deep knowledge of and strengths in strategy development and end-to-end sophisticated project management</li><li>
Optimally work with sensitivity across barriers such as language, culture, and distance</li><li>
Software skills with Microsoft Office applications, including a proven track record to convey information using supporting tables, graphs, and other visual representations</li><li>
Knowledge and proficiency in Excel, Stata, or similar</li><li>
Ability to travel up to 20% domestically and internationally</li><li>
This role is based in Seattle, WA. Relocation will be provided.</li></ul><div></div><ul><li><i>Must be able to legally work in the country where this position is located without visa sponsorship.</i></li></ul><div></div><div><i>
The salary range for this role is $130,000-$195,000 USD. We recognize high-wage market differences in Seattle and Washington D.C., where our offices are located. The range for this role in these locations is $143,000-$214,600 USD. As a mission-driven organization, we strive to balance competitive pay with our mission. New hire salaries are typically between the salary range minimum and midpoint. Actual placement in the range will depend on a candidate&rsquo;s job-related skills, experience, and expertise, as evaluated during the interview process.</i></div><div></div><div><br>
Hiring Requirements</div><div>
As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check.</div><div></div><div>
Candidate Accommodations</div><div>
If you require assistance due to a disability in the application or recruitment process</div><div></div><div>
Inclusion Statement</div><div>
We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion &mdash; of voices, ideas, and approaches &mdash; and we support this diversity through all our employment practices.</div><div></div><div>
All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.</div></div>

Associate Strategy Officer, Foundation Strategy Office

<p></p><div><p><b>Job ID</b> 2025-14498</p>
<p><b>Date posted</b> Jan. 08, 2026</p>
<p><b>Location</b> Seattle, Washington
</p><p><b>Category</b> Research, Design Engineering</p></div><p></p>
<br><div><p>Job Overview:</p><p></p><p>
Arm provides the foundational compute architecture for billions of devices, spanning microcontrollers, smartphones, laptops, and cloud servers. As machine learning increasingly moves to the edge, developers depend on Arm to deliver intuitive, efficient, and scalable AI deployment experiences. Our ML tooling teams build the products that help developers design, optimize, and deploy machine learning models across Arm-based devices - impacting millions of users who rely on Arm to power the next generation of AI solutions.</p><p></p><p>
As a Product Designer for ML Tooling, you&rsquo;ll work at the intersection of design, AI, and developer experience. Collaborating closely with researchers, engineers, and product managers, you will transform deeply technical workflows into intuitive, empowering tools that support the entire ML journey - from model creation to optimization and deployment. Your designs will simplify complexity, accelerate innovation, and shape how developers build AI on Arm.</p><p></p><p>
Responsibilities:</p><ul><li><p>
Lead the end-to-end experience design of Arm&rsquo;s ML tooling, creating cohesive workflows across data preparation, model optimization, validation, and deployment.</p></li><li><p>
Collaborate closely with researchers and engineers to understand complex technical processes, identifying opportunities to simplify workflows and supporting user research with ML engineers and developers.</p></li><li><p>
Define hypotheses and success metrics, align user outcomes with business goals, and partner with engineering to measure product impact.</p></li><li><p>
Design at multiple levels of fidelity&mdash;from service blueprints and interaction flows to high-fidelity prototypes&mdash;and contribute to evolving Arm&rsquo;s design system for ML-focused interfaces and visualizations.</p></li><li><p>
Foster a design-led culture within technical teams by facilitating workshops, sharing insights, and integrating design thinking into engineering workflows.</p></li></ul><p></p><p>
Required Skills and Experience :</p><ul><li>
Strong interest and experience in machine learning, AI, or data science.</li><li>
A portfolio highlighting design for complex technical or developer-focused products, such as ML tools, IDEs, CLIs, data platforms, and engineering workflows.</li><li>
Demonstrated ability to translate highly technical concepts into intuitive user experiences for developers, using systems design and service blueprinting techniques.</li><li>
Experience leading the UX of a product from concept through delivery and iteration, collaborating with product and engineering colleagues.</li></ul><p>
&ldquo;Nice To Have&rdquo; Skills and Experience :</p><ul><li>
Familiarity with developer experience and command-line, code, or workflow-based tools.</li><li>
Contributions to design systems for enterprise or technical applications.</li></ul><div><p>
Salary Range:</p><p>
$202,300-$273,700 per year</p><p>
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.</p></div><p>
Accommodations at Arm</p><p>
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.</p><p>
Hybrid Working at Arm</p><p>
Arm&rsquo;s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team&rsquo;s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.</p><p>
Equal Opportunities at Arm</p><p>
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don&rsquo;t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</p></div>

Product Designer, ML Tooling

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you.<br>
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As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams.<br>
<br>
Key job responsibilities<br>
As an Applied Science, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.<br>
We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.<br>
<br>
About the team<br>
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Experience in patents or publications at top-tier peer-reviewed conferences (NeurIPS, ICML, ICLR, CVPR) or journals</li><li>Experience in deep learning models for life sciences; knowledge of protein biology.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Amazon Special Projects

OCLC

<div><div><div>Together we make breakthroughs possible.</div></div><div></div><div><div>
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You&rsquo;ll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.</div></div><div></div><div>
Why join OCLC?</div><div>
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions&mdash;performance, experience, and skills&mdash;along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.</div><ul><li><div>
Tuition reimbursement and Public Service Loan Forgiveness eligibility</div></li><li><div>
Paid parental leave and adoption assistance</div></li><li><div>
Fitness facility reimbursement benefit</div></li></ul><div></div><div>
Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.</div><div></div><div>
The job details are as follows:</div>
The WebJunction Instructional Designer is responsible for designing and creating WebJunction&rsquo;s on-demand professional development courses and learning support materials for library staff; creating facilitated cohort and instructor-led training for targeted projects; providing consulting to grant-funded partners on best practices for design, hosting, and delivery of online learning; updating WebJunction&rsquo;s catalog; liaising with OCLC Customer Support to maintain a positive experience for learners using the Moodle learning platform; and supporting WebJunction programming and operations.<div></div><div>
Key Responsibilities:</div><ul><li>
Create new and/or update existing self-paced and facilitated cohort courses and learning content for the WebJunction Course Catalog. This includes design and layout directly in the Moodle learning management system (LMS), as well as using Articulate Storyline, and other course authoring software to create engaging, relevant, easy-to-use self-paced courses.</li><li>
Provide consultation services to external organizations on how to use the LMS to design, deliver, and administer their training programs for library staff.</li><li>
Communicate issues and feature requests from users to WebJunction team, to inform priorities and solutions for platform and service improvements/enhancements.</li><li>
Assist with LMS administration, including configuration, updates, account management, and reporting functions.</li><li>
Stay up to date with changes to features and functionality available in course design and LMS software that can benefit WebJunction&rsquo;s training offerings and our services to partner organizations.</li><li>
Collaborate with team members to assist in the coordination, production, and support of programming.</li><li>
Respond to and resolve technical issues reported by learners, in consultation with OCLC Customer Support.</li><li>
Share support of WebJunction operations by collecting and reporting data, updating the website and social media collateral, and reviewing content.</li></ul><div></div><div>
Education: Bachelor&rsquo;s degree or higher in instructional design, education, or equivalent field; or equivalent experience</div><div></div><div>
Experience, Knowledge, Abilities and Skills:</div><ul><li>
3-5 years experience in instructional design; demonstrated proficiency with creating and delivering online training.</li><li>
Experience with online course development, for both self-directed and cohort-based learning, including creating storyboards, scripts, graphics and engaging learning experience.</li><li>
Experience with developing online, SCORM compliant, on-demand courses.</li><li>
Skilled in using the Articulate Storyline/360 course authoring system.</li><li>
In-depth knowledge of adult learning theories and instructional design models, and the ability to apply them to practical, outcomes-oriented continuing education for library workers</li><li>
Strong visual design skills, and experience using media creation software such as Photoshop, Illustrator, Premier, Camtasia, and H5P.</li><li>
Experience performing basic video editing using tools such as Camtasia and Adobe Premier Pro.</li><li>
Excellent online meeting planning and presentation skills</li><li>
Familiarity with the Moodle learning management system administration; experience with configuration, updates, analytics and other reporting tools</li><li>
Knowledgeable about current digital accessibility standards, including Web Content Accessibility Guidelines (WCAG) as well as legal requirements such as Title II of the Americans with Disabilities Act and Section 508 of the US Workforce Rehabilitation Act of 1973</li><li>
Familiarity with web conferencing and presenting platforms</li><li>
Demonstrates clear, responsive, and tactful communication, both oral and written</li><li>
Demonstrated skill with individual and team-based problem-solving.</li><li>
In-person and virtual conference presentation experience</li></ul><div></div><div>
Working Conditions: Normal office environment.</div><div></div><div>
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.</div></div><div></div>

Instructional Designer

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