machine learning engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.
 
 
As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS&rsquo;s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients. 
 
 
 
Key job responsibilities 
<ul><li>Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
</li><li>LLM Customization &amp; Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
</li><li>Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
</li><li>Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions 
</li></ul> 
 
About the team 
ABOUT AWS: 
 
Diverse Experiences
 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Work/Life Balance
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Inclusive Team Culture
 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
AWS Global Services 
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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>Bachelor's degree in computer science or equivalent</li><li>Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)</li><li>Hands-on experience with generative AI technology</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>1+ years of programming with at least one software programming language experience</li><li>1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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. 
 
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>

Machine Learning Engineer, Model Customization, Generative AI Innovation Center

Evergreen Goodwill

About Evergreen Goodwill
 
Evergreen Goodwill of Northwest Washington is a 501(c)(3) nonprofit organization founded in 1923 that helps people get jobs across Northwest Washington by offering high-quality free job training, education and job placement. Goodwill empowers individuals to overcome barriers to working, by providing comprehensive support and connecting them with life changing job opportunities, ensuring they are career-ready and can support themselves and their families.
 
The organization employs over 2,000 people, operates five job-training centers, 23 nonprofit retail stores and more than 27 donation sites in King, Snohomish, Skagit, Whatcom and Kitsap Counties. Every day, Evergreen Goodwill connects people with the jobs, services and skills they need — because Jobs Change Lives. We are committed to creating and sustaining a culture of equity, diversity and inclusion (DEI) and are focused on creating a joyful, inclusive and successful organization.
 
Title: Senior Software Engineer
 Location: Evergreen Goodwill Headquarters
 Hybrid Schedule - 3 Days/Week in Office
 Department: Information Technology
 Reports to: VP of Technology
 FLSA Status: Salaried, Exempt
 Salary Range: $110,000 - $140,000 – annually, DOE
 About the Position
 
The Senior Software Engineer is responsible for designing and developing enterprise-grade software solutions that support EGNW's digital transformation and production automation initiatives. This role focuses on building scalable, secure, and maintainable applications that integrate with existing systems while supporting innovative operational workflows including AI-powered donation processing, warehouse automation, and custom business applications.
 This position is critical to advancing EGNW's technology capabilities beyond basic automation into sophisticated software solutions that drive operational efficiency, data integration, and mission impact at scale.
 Essential Duties and Responsibilities include the following.
 
Other duties, responsibilities, and activities may change or be assigned at any time with or without notice.
 Enterprise Software Development
 <ul>
<li>Design and develop scalable software applications using modern development frameworks and cloud-native architectures.</li>
<li>Build custom integrations between D365, warehouse management systems, production automation, and business applications.</li>
<li>Develop APIs and micro-services to support system interoperability and data exchange.</li>
<li>Create robust, maintainable code following software engineering best practices and design patterns.</li>
<li>Implement automated testing, continuous integration, and deployment pipelines.</li>
</ul>
Production Automation & AI Integration
 <ul>
<li>Collaborate with Solution Engineer on production automation software components and workflow integration.</li>
<li>Develop software solutions for AI-powered donation processing, classification, and cataloging systems.</li>
<li>Build applications that integrate computer vision, machine learning, and operational workflows.</li>
<li>Create data processing pipelines that support real-time decision making in production environments.</li>
<li>Design and implement software architectures that support warehouse automation and inventory management.</li>
</ul>
System Integration & Architecture
 <ul>
<li>Architect and implement integrations between Microsoft Dynamics 365 and production systems.</li>
<li>Develop custom applications that extend and enhance existing business systems.</li>
<li>Design database schemas and data models that support complex operational workflows.</li>
<li>Build secure, scalable solutions that handle high-volume data processing and real-time operations.</li>
<li>Ensure software solutions comply with security, privacy, and compliance requirements.</li>
</ul>
Collaboration & Technical Leadership
 <ul>
<li>Partner closely with Solution Engineer on production automation initiatives and technical requirements.</li>
<li>Collaborate with Business Application Manager on enterprise application integration needs.</li>
<li>Work with data and analytics team on software requirements for business intelligence and reporting.</li>
<li>Provide technical guidance and mentoring to other team members on software development practices.</li>
<li>Participate in technical architecture discussions and contribute to technology strategy decisions.</li>
</ul>
Innovation & Continuous Improvement
 <ul>
<li>Research and evaluate emerging technologies that can enhance EGNW's software capabilities.</li>
<li>Contribute to the development of EGNW's technology roadmap and digital transformation initiatives.</li>
<li>Identify opportunities to improve existing systems through software development and automation.</li>
<li>Support proof-of-concept development for new technology initiatives and innovation projects.</li>
<li>Stay current with industry best practices in software engineering, cloud computing, and enterprise development.</li>
</ul>
Position Requirements Qualifications under the Americans with Disabilities Act (ADA)
 
To successfully perform this job, individuals must be able to complete each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.
 Education
 <ul>
<li>Bachelor's degree in Computer Science, Software Engineering, or related technical field.</li>
<li>Advanced degree in relevant field preferred.</li>
<li>Industry certifications (Microsoft Azure, AWS, or similar cloud platforms) preferred.</li>
</ul>
Experience
 <ul>
<li>5-8 years of professional software development experience with enterprise-grade applications.</li>
<li>Experience with cloud-native development and micro-services architecture.</li>
<li>Background in system integration, API development, and data processing applications.</li>
<li>Experience with AI/ML integration and data pipeline development preferred.</li>
<li>Background in retail, operations, manufacturing, or mission-driven organizations preferred.</li>
</ul>
Technical Skills
 <ul>
<li>Programming Languages: Proficient Skill Level in C#, Python, JavaScript/TypeScript, & SQL</li>
<li>Cloud Platforms: Advanced experience with Microsoft Azure services (App Services, Functions, Storage, SQL)</li>
<li>Development Frameworks: .NET Core, React/Angular, Node.js, or similar modern frameworks</li>
<li>Database Technologies: SQL Server, Azure SQL, Cosmos DB, and data modeling principles</li>
<li>Integration: REST APIs, GraphQL, message queues, and enterprise integration patterns</li>
<li>DevOps: Git, Azure DevOps, CI/CD pipelines, containerization (Docker, Kubernetes)</li>
<li>AI/ML: Experience with Azure Cognitive Services, Machine Learning, or similar platforms preferred.</li>
</ul>
Enterprise Development Skills
 <ul>
<li>Experience with enterprise software architecture patterns and design principles.</li>
<li>Understanding of security best practices, authentication, and authorization frameworks.</li>
<li>Knowledge of software testing methodologies including unit, integration, and acceptance testing.</li>
<li>Experience with agile development methodologies and collaborative development practices.</li>
<li>Understanding of performance optimization, scalability, and high-availability system design.</li>
<li>Experience with monitoring, logging, and application performance management.</li>
</ul>
Business & Communication Skills
 <ul>
<li>Strong problem-solving skills with ability to translate business requirements into technical solutions.</li>
<li>Excellent communication skills with ability to explain technical concepts to non-technical stakeholders.</li>
<li>Experience working in cross-functional teams and collaborating with business stakeholders.</li>
<li>Project management capabilities with ability to manage multiple development initiatives.</li>
<li>Understanding of nonprofit operations, retail, or warehouse management environments preferred.</li>
<li>Ability to work independently while contributing effectively to team objectives.</li>
</ul>
Physical Abilities
 <ul>
<li>While performing the duties of this job, the employee will be required to sit for periods of time, communicate with other employees by talking and hearing, and operate computer systems.</li>
<li>Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.</li>
<li>Occasional travel to retail locations, warehouse facilities, and off-site meetings for system analysis and deployment.</li>
<li>Able to communicate with others effectively both verbally and written, including those who have limited English skills.</li>
<li>Maintain reliable attendance.</li>
</ul>
Work Environment
 <ul>
<li>Exposure to computer screens and development systems.</li>
<li>The noise level in the work environment is usually moderate.</li>
<li>Hybrid work schedule, at least (3) Three Days/Week Required in Office</li>
<li>Required job duties are normally performed in a climate-controlled office environment, or remotely from home.</li>
<li>Occasional visits to retail stores and warehouse facilities to understand operational requirements and test deployed solutions.</li>
</ul>
Everyone Is Welcome
 When you join Evergreen Goodwill, you join a truly vibrant community. We value the things that make us different and unique. From diverse international and ethnic backgrounds, to languages, identities, ages, orientations, and beyond, Evergreen Goodwill celebrates individual and cultural diversity.
 Why work at Evergreen Goodwill?
 <ul>
<li>A health plan that includes medical, dental, vision and prescription coverage</li>
<li>100% Employer-paid life, accidental death and dismemberment (AD&D), and long-term disability insurance (for salaried employee)</li>
<li>Voluntary supplemental coverage for life, accident, illness, and short- and long-term disability</li>
<li>Flexible Spending Accounts (FSA) Plan</li>
<li>Roth and 403(b) Retirement Savings Plan program</li>
<li>Paid vacation, (9) holiday and sick time</li>
<li>Limited paid time off for Jury Duty and Bereavement Leave</li>
<li>Employee discounts</li>
<li>Employee Assistance Program (EAP)</li>
<li>Career Advancement Opportunities</li>
<li>Paid Job Training</li>
</ul>
EEO Statement: Evergreen Goodwill of Northwest Washington is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, national origin, age, disability, marital status, citizenship, military status, sexual orientation, gender identity, genetic information, veteran status, or other protected characteristics in accordance with applicable law. This policy applies to all aspects of employment, including hiring, compensation, benefits, and termination.
 
Everyone Is Welcome
 
When you join Evergreen Goodwill, you join a truly vibrant community. We value the things that make us different and unique. From diverse international and ethnic backgrounds, to languages, identities, ages, orientations, and beyond, Evergreen Goodwill celebrates individual and cultural diversity.
 
Why work at Evergreen Goodwill?
 
A health plan that includes medical, dental, vision and prescription coverage
 
100% Employer-paid life, accidental death and dismemberment (AD&D), and long term disability insurance (for salaried employee)
 
Voluntary supplemental coverage for life, accident, illness, and short- and long-term disability
 
Flexible Spending Accounts (FSA) Plan
 
Roth and 403(b) Retirement Savings Plan program
 
Paid vacation, (9) holiday and sick time
 
Limited paid time off for Jury Duty and Bereavement Leave
 
Employee discounts
 
Employee referral bonus
 
Employee Assistance Program (EAP)
 
Mentorship Program
 
Career Advancement Opportunities
 
Paid Job Training
 
EEO Statement: Evergreen Goodwill of Northwest Washington is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, national origin, age, disability, marital status, citizenship, military status, sexual orientation, gender identity, genetic information, veteran status, or other protected characteristics in accordance with applicable law. This policy applies to all aspects of employment, including hiring, compensation, benefits, and termination.
 
This document does not represent a contract of employment, and EGNW reserves the right to change this job description and/or assign tasks for the employee to perform, as EGNW may deem appropriate.

Senior Software Engineer

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. Aurora DSQL provides active-active high availability, providing strong data consistency designed for 99.99% single-Region and 99.999% multi-Region availability. Aurora DSQL automatically manages and scales system resources, so you don't have to worry about maintenance downtime and provisioning, patching, or upgrading infrastructure. 
 
As a Senior Applied Scientist, you will be expected to lead research and development in advanced query optimization techniques for distributed sql services. You will innovate in the query planning and execution layer to help Aurora DSQL succeed at delivering high performance for complex OLTP workloads. You will develop novel approaches to stats collection, query planning, execution and optimization. You will drive industry leading research, publish your research and help convert your research into implementations to make Aurora DSQL the fastest sql database for OLTP workloads. 
 
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 
 
Key job responsibilities 
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You&rsquo;ll bring a passion for innovation, data, search, analytics, and distributed systems. You&rsquo;ll also: 
Solve challenging technical problems, often ones not solved before, at every layer of the stack. 
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. 
Build high-quality, highly available, always-on products. 
Research implementations that deliver the best possible experiences for customers. 
 
A day in the life 
As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You&rsquo;ll also: 
Build high-impact solutions to deliver to our large customer base. 
Participate in design discussions, code review, and communicate with internal and external stakeholders. 
Work cross-functionally to help drive business decisions with your technical input. 
Work in a startup-like development environment, where you&rsquo;re always working on the most important stuff. 
 
About the team 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. 
 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
About AWS 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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>

Senior Applied Scientist, Distributed SQL

Industrial Designer

Epic

<div>
 Please note that this position is based on our campus in Madison, WI, and requires relocation to the area. We recruit nationally and provide financial relocation assistance.
 
 
 
 Code that saves lives.
 
 
 
 As a software developer at Epic, you&rsquo;ll write software that impacts the lives of 325 million patients around the world. Working in your own office, surrounded by thousands of high-caliber developers, you&rsquo;ll use modern development methodologies and employ user-centered design, analytics, and machine learning tools to drive innovation in healthcare. Using leading-edge technologies and languages like JS, TS, and C#, you&rsquo;ll invent better ways to reduce medical errors, streamline record sharing between hospitals, and provide the quality of care a patient deserves. Learn more about our team at https://careers.epic.com/jobs/softwaredevelopment/.
 
 
 
 Write software for the most innovative health systems on the planet.
 
 
 
 The top-ranked health systems in U.S. News and World Report are Epic customers. Our community includes major systems like the Mayo Clinic, Johns Hopkins, Cleveland Clinic, and Kaiser Permanente, as well as leading academic medical centers at the University of Wisconsin, University of Michigan, University of California, University of Texas, The Ohio State University, and many more.
 
 
 
 Live affordably in a city known for its rising tech talent.
 
 
 
 Epic is located just outside Madison, Wisconsin, the second fastest growing market for tech talent in the United States and home to the state capital and the University of Wisconsin. Madison, a city surrounded by water, has received accolades for being the greenest city in America (NerdWallet), the best city for renters (SmartAsset), the fittest city in America (Fitbit), and the third best metro in the US for young professionals (Forbes Advisor).
 
 
 
 More than just important work
 
 .
 
 
 Our uniquely themed campus was designed to heighten your ability to get stuff done in your office, a conference room, or by the fireplace in a comfy chair. All meals are restaurant-quality but cost only a few dollars, and they&rsquo;re prepared by a team comprised of kitchen talent from restaurants around the country. And, after five years here, you&rsquo;ll earn a four-week sabbatical anywhere in the world. Staff have kayaked in Patagonia, attended a Beyonc&eacute; concert in Ireland, built a library in Tanzania, and run a marathon in Antarctica.
 
 
 We offer comprehensive benefits to keep you healthy and happy as you grow in your life and career, and your merit-based compensation will reflect the impact your work has on the company and our customers. You'll also be eligible for annual raises and bonuses, as well as stock grants, which give you an even greater stake in the success of Epic and our customers. Healthcare is global, and building the best ideas from around the world into Epic software is a point of pride. As an Equal Opportunity Employer, we know that inclusive teams design software that supports the delivery of quality care for all patients, so diversity, equity, and inclusion are written into our principles. Please see our full non-discrimination statement at https://careers.epic.com/EEO.
 
 
 <ul>
 <li>
 Relocation to the Madison, WI area (Reimbursed)
 </li>
 <li>
 BS/BA or greater in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field
 </li>
 <li>
 A history of academic excellence or professional success
 </li>
 <li>
 Eligible to work in the United States without visa sponsorship (persons with appropriate qualifications and eligible for TN status under NAFTA may apply)
 </li>
 <li>
 COVID-19 vaccination
 </li>
 </ul>
</div>

Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. 
 
How do you get items to customers quickly, cost-effectively, and&mdash;most importantly&mdash;safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what&rsquo;s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). 
 
If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. 
 
Come work on the Amazon Prime Air Team! 
 
Prime Air is seeking an experienced Applied Science Manager to help develop our advanced Navigation algorithms and flight software applications. In this role, you will lead a team of scientists and engineers to conduct analyses, support cross-functional decision-making, define system architectures and requirements, contribute to the development of flight algorithms, and actively identify innovative technological opportunities that will drive significant enhancements to meet our customers' evolving demands.
 
 
This person must be comfortable working with a team of top-notch software developers and collaborating with our science teams. We&rsquo;re looking for someone who innovates, and loves solving hard problems. You will work hard, have fun, and make history! 
 
Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon&rsquo;s ability to apply for and obtain an export control license on your behalf.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience directly managing scientists or machine learning engineers</li><li>Experience with the Scrum methodology (or similar alternatives) for agile software development</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs</li><li>Experience hiring and growing top talent</li><li>Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations</li><li>Proficiency in the simulation and analysis of GNSS raw measurements, including pseudorange and carrier phase.</li><li>Experience building complex software systems, especially involving safety-critical algorithms, that have been successfully delivered to customers.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/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>

Navigation Science Manager, Prime Air

<div>As a Softgoods Designer on the Industrial Design Specialist Team you will design, prototype, develop and integrate technical softgoods solutions across Meta's consumer VR, AR, Smart Glasses, Wearables and Accessories product lines. We work closely with Industrial Design Generalists, PDE and operations partners to push the boundaries of what is possible in Softgoods integration. You will bring strategic problem solving and industry leading hands-on design skills and take a critical role in designing novel Softgoods solutions to improve the aesthetics and ergonomics for our consumer electronics devices. You&rsquo;ll own the design of parts/assemblies such as facial interfaces, strap systems, wrist wearables with integrated electronics and charging carry cases. We also provide support for our accessories lines such as carry cases and VR headset customization. You have a passion for pushing the state of the art of Softgoods design and manufacturing and experience working collaboratively with cross-functional teams. This position is full-time. Extensive experience in Softgoods design, development and manufacturing is strongly preferred but not required for this position. Our ideal candidate has a mechanical background, experience in designing and manufacturing consumer electronics Softgoods products, expert 3D and 2D CAD capabilities, and prototyping skills. 
 
 
<h3 class="jobSectionHeader">Softgoods Designer Responsibilities:
 
</h3><ul><li>Conceive elegant, effective ways to address ergonomic and mechanical challenges</li><li>
Design category-defining products, helping Meta Reality Labs change the world through design</li><li>
Utilize user-centric thinking and aesthetic sensibility to align our brand to customer needs</li><li>
Work collaboratively with multiple cross-functional teams on complex technical programs in a fast-paced environment</li><li>
Be a key contributor of concepts and problem solving across multiple softgoods projects</li><li>
Develop and maintain a thorough understanding of Softgoods materials and manufacturing techniques</li><li>
Create softgoods designs and communicate design intent through sketching, CAD and most importantly you make mock-ups and prototypes to prove new concepts</li><li>
Collaborate closely with other Designers/Engineers to create and bring new and better toolbox solutions that benefit the brand (such as new technologies, construction techniques, features, etc.)</li></ul> 
 
 
<h3 class="jobSectionHeader">Minimum Qualifications: 
</h3><ul><li>
Bachelor's degree in Industrial Design or related field</li><li>
2+ years of experience as an Industrial Designer with emphasis on developing Softgoods products</li><li>
Experience exploring and refining ideas through prototyping</li><li>
Experience in 3D CAD modeling (Rhino, SolidWorks, NX, Fusion 360)</li><li>
Experience in 2D CAD (Adobe Illustrator)</li><li>
Knowledge of fabric and textile constructions (knit, weaves, nonwovens)</li><li>
Experience in creating 2D flat patterns from 3D shapes and vice versa</li><li>
Experience operating sewing machines and other softgoods specific equipment</li></ul> 
 
 
<h3 class="jobSectionHeader">Preferred Qualifications: 
</h3><ul><li>
Textile, bag, garment and/or footwear design experience</li><li>
Experience with CNC cutting machines (laser, fabric cutter)</li><li>
Experience with patterning/visualization software (Gerber, Optitex, CLO)</li><li>
Knowledge of flat-knitting</li></ul> 
 
 
<h3 class="jobSectionHeader">About Meta: 
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics. 
 
 
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. 
 
$error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue. 
 
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Softgoods Designer

Explore 50+ Machine learning engineer in Seattle United States this January. Find roles across top companies and apply now to boost your career.