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product designer, ml tooling

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software design engineer Jobs in Seattle Wa Make 80 Hr 90 Hr Jobs In Washington

software design engineer

product designer ml tooling

<div>Job ID 2025-14498
Date posted Jan. 08, 2026
Location Seattle, Washington
Category Research, Design Engineering</div>
 <div>Job Overview:
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.
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.
Responsibilities:<ul><li>
Lead the end-to-end experience design of Arm&rsquo;s ML tooling, creating cohesive workflows across data preparation, model optimization, validation, and deployment.</li><li>
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.</li><li>
Define hypotheses and success metrics, align user outcomes with business goals, and partner with engineering to measure product impact.</li><li>
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.</li><li>
Foster a design-led culture within technical teams by facilitating workshops, sharing insights, and integrating design thinking into engineering workflows.</li></ul>
Required Skills and Experience :<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>
&ldquo;Nice To Have&rdquo; Skills and Experience :<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>
Salary Range:
$202,300-$273,700 per year
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.</div>
Accommodations at Arm
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.
Hybrid Working at Arm
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.
Equal Opportunities at Arm
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.</div>

Product Designer, ML Tooling

PitchBook

<div><div>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.

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.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</div>

About the Role:

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.

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!

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.

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.

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.

Primary Job Responsibilities:
<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>
Skills and Qualifications:
<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>
Benefits + Compensation at PitchBook:

Physical Health
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
Emotional Health
<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>
Social Health
<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>
Financial Health
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li>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.</li></ul>

Compensation
<ul>
<li>Annual base salary: $170,000-$240,000</li>
<li>Target annual bonus percentage: 10%</li>
</ul>
Working Conditions:

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.

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.

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.

#LI-MS1

#LI-Onsite</div>

Sr. Machine Learning Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Regulatory Intelligence Safety and Compliance (RISC) team is on a mission to protect customers from unsafe or non-compliant products while enabling trustworthy shopping experiences at Amazon. We are seeking an exceptional Senior Manager, Technical Program Management to lead our strategic initiatives that combine advanced AI/ML automation with rigorous risk management to transform how Amazon executes recalls and manages inventory safety at global scale. 
In this role, you will lead a portfolio of high-impact programs that directly protect millions of customers worldwide. You will drive development and execution of Amazon's plan to reduce customer exposure to recalled products, automate end-to-end recall processing, and establish global recall execution frameworks. You will define and influence the design of processes and products to keep customers safe while also improving the experience of Amazon's Selling Partners as we efficiently manage recalls and associated inventory. This is an opportunity to make a measurable impact on customer safety while working at the intersection of technical innovation, regulatory compliance, and operational excellence. 
If you are passionate about customer safety, thrive in ambiguous environments, and want to lead programs that matter, we want to hear from you. 
 
Key job responsibilities 
Program Leadership &amp; Execution 
 
<ul><li>Lead and mentor a team of Risk Managers and Technical Program Managers supporting recalls execution, inventory management and related automation initiatives globally</li><li>Own or collaborate closely with software and science teams on the end-to-end delivery of critical initiatives including global recall framework implementation, &lsquo;zero-touch&rsquo; automation for recalls, comprehensive safety controls across delivery networks, and inventory management optimization</li><li>Drive the reduction of Customer Order Escape Rate (COER) - that is, leakage of any recalled product, through systematic program execution and cross-functional coordination</li><li>Establish and optimize mechanisms for managing complex, cross-functional programs spanning engineering, science, operations, legal, regulatory affairs, and seller support teams</li></ul> 
Strategic Planning &amp; Stakeholder Management 
 
<ul><li>Partner with engineering, product, operations, legal, and regulatory teams to define program strategies and roadmaps that balance customer safety, business needs, and regulatory compliance</li><li>Serve as primary point of contact for executive-level communications, including leadership reviews, deep dives, and strategic planning sessions</li><li>Lead roadmap prioritization processes across the RISC portfolio, making critical trade-offs between business opportunities, resources, and sustainability</li><li>Represent and defend complex program decisions to senior leadership, clearly articulating risks, trade-offs, and customer impact</li></ul> 
Risk Management &amp; Compliance 
 
<ul><li>Identify and mitigate risks across the recalls and inventory management portfolio, establishing cross-organizational risk tolerance and mitigation strategies</li><li>Drive compliance with global regulatory requirements issued by entities such as US CPSC, EU GPSR, and Saudi PSL through automated reporting and standardized execution protocols</li><li>Partner with legal and regulatory teams to anticipate emerging legislation and assess impact on program roadmaps and organizational strategy</li><li>Establish mechanisms to prevent, detect, and remediate safety issues before they impact customers</li></ul> 
Innovation &amp; Process Improvement 
 
<ul><li>Drive AI/ML-first approach to automate end-to-end recall processing, targeting zero manual touches for 10 public recalls by EOY 2026</li><li>Create scalable, long-term mechanisms that reduce operational bottlenecks, and enhance customer experience</li><li>Lead initiatives to reduce stranded inventory and reduce the time required to clear recalled selection from the network such that remediated product can be reinstated</li><li>Identify opportunities to innovate, simplify, reduce waste, and increase efficiency across all program areas</li></ul> 
About the team 
The Recalls &amp; Inventory Management team operates at the critical intersection of customer safety, regulatory compliance, and operational excellence. We protect customers by immediately acting on unsafe or non-compliant products, executing recalls consistently across all regions, and managing inventory safety across Amazon's global fulfillment network. Our work directly impacts millions of customers and thousands of Selling Partners, and we're transforming how Amazon approaches product safety through AI/ML automation and innovative risk management strategies.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in Engineering, Computer Science, or a related technical field</li><li>Experience in people management</li><li>Experience in technical program management</li><li>Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>7+ years of work in internet-related program or technical product management in a software applications environment experience</li><li>Knowledge of cloud computing services or deployment architecture</li><li>Experience working in an internet-related program or technical product management in a software applications environment</li><li>Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients</li><li>Experience with agile or other program management methodologies</li><li>Master's degree or equivalent</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 $175,200/year in our lowest geographic market up to $302,900/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>

Sr. Manager, Recalls & Inventory Management, Regulatory Intelligence, Safety, and Compliance (RISC) -

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
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. 
 
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. 
 
Key job responsibilities 
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. 
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. 
 
About the team 
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.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
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 $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

ByteDance

Location: 
Seattle
 
Team: 
Infrastructure
 
Employment Type: 
Regular
 
Job Code: 
A35024
 
Responsibilities
 
About the Team
 The Inference Infrastructure team is the creator and open-source maintainer of AIBrix, a Kubernetes-native control plane for large-scale LLM inference. We are part of ByteDance’s Core Compute Infrastructure organization, responsible for designing and operating the platforms that power microservices, big data, distributed storage, machine learning training and inference, and edge computing across multi-cloud and global datacenters.
 
With ByteDance’s rapidly growing businesses and a global fleet of machines running hundreds of millions of containers daily, we are building the next generation of cloud-native, GPU-optimized orchestration systems. Our mission is to deliver infrastructure that is highly performant, massively scalable, cost-efficient, and easy to use—enabling both internal and external developers to bring AI workloads from research to production at scale.
 
We are expanding our focus on LLM inference infrastructure to support new AI workloads, and are looking for engineers passionate about cloud-native systems, scheduling, and GPU acceleration. You’ll work in a hyper-scale environment, collaborate with world-class engineers, contribute to the open-source community, and help shape the future of AI inference infrastructure globally.
 
Responsibilities
 <ul>
<li>Design and build large-scale, container-based cluster management and orchestration systems with extreme performance, scalability, and resilience.</li>
<li>Architect next-generation cloud-native GPU and AI accelerator infrastructure to deliver cost-efficient and secure ML platforms.</li>
<li>Collaborate across teams to deliver world-class inference solutions using vLLM, SGLang, TensorRT-LLM, and other LLM engines.</li>
<li>Stay current with the latest advances in open source (Kubernetes, Ray, etc.), AI/ML and LLM infrastructure, and systems research; integrate best practices into production systems.</li>
<li>Write high-quality, production-ready code that is maintainable, testable, and scalable.</li>
</ul>
Qualifications
 
Minimum Qualifications
 <ul>
<li>B.S./M.S. in Computer Science, Computer Engineering, or related fields with 5 years of relevant experience (Ph.D. with strong systems/ML publications also considered).</li>
<li>Strong understanding of large model inference, distributed and parallel systems, and/or high-performance networking systems.</li>
<li>Hands-on experience building cloud or ML infrastructure in areas such as resource management, scheduling, request routing, monitoring, or orchestration.</li>
<li>Solid knowledge of container and orchestration technologies (Docker, Kubernetes).</li>
<li>Proficiency in at least one major programming language (Go, Rust, Python, or C++).</li>
</ul>
Preferred Qualifications
 <ul>
<li>Experience contributing to or operating large-scale cluster management systems (e.g., Kubernetes, Ray).</li>
<li>Experience with workload scheduling, GPU orchestration, scaling, and isolation in production environments.</li>
<li>Hands-on experience with GPU programming (CUDA) or inference engines (vLLM, SGLang, TensorRT-LLM).</li>
<li>Familiarity with public cloud providers (AWS, Azure, GCP) and their ML platforms (SageMaker, Azure ML, Vertex AI).</li>
<li>Strong knowledge of ML systems (Ray, DeepSpeed, PyTorch) and distributed training/inference platforms.</li>
<li>Excellent communication skills and ability to collaborate across global, cross-functional teams.</li>
<li>Passion for system efficiency, performance optimization, and open-source innovation.</li>
</ul>
Job Information
 
【For Pay Transparency】Compensation Description (Annually)
 
The base salary range for this position in the selected city is $198360 - $416100 annually.
 
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
 
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
 
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
 
For Los Angeles County (unincorporated) Candidates: 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
 
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
 
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
 
3. Exercising sound judgment.
 
About Us
 
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
 
Why Join ByteDance
 
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
 
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
Diversity & Inclusion
 
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 
Reasonable Accommodation
 
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

Tech Lead Software Engineer - AI Inference Infrastructure

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
We're seeking an innovative UX Designer to join us in expanding Alexa's capabilities that help people lead healthier, more fulfilling lives. In this role, you'll work with a blend of visual and voice interfaces to help customers access the information and services they need to be at their best&mdash;transforming technology used at home and on the go into intuitive, personal experiences. 
 
Key job responsibilities 
In this role, you'll participate in the end-to-end design process for complex features and product. You'll develop early-stage concepts that help stakeholders and leaders deeply understand the customer experience while collaborating with engineers throughout the design process. 
 
You'll routinely partner with designers across Alexa to both adopt and extend existing design systems. As you develop new patterns and uncover best practices, you'll contribute to Figma libraries and share what you've learned with your peers. 
 
You will also be responsible for incorporating insights from relevant Alexa research, conducting hallway testing, and participating in user research to inform and validate your decisions. 
 
Along the way, you'll partner with peer designers, product and tech owners, marketing, solutions architects, and business development to be sure the customer remains at the center of our decision-making. This role will provide opportunities to expand your skills, practice growing your influence, and delivering best-in-class experiences for both businesses and end customers. 
 
A day in the life 
In this role, you'll design net-new concepts that make life more enjoyable for our customers, dream up new ways of solving long-standing problems, and partner with solutions architects, tech teams, and business development to refine our product offerings and secure new commitments from our business partners. One week you might run user research to test how customers interpret and respond to the experience you're designing while another week you might partner with a solutions architect to build a working prototype for a conversational experience. No matter what, you'll operate with enough autonomy to grow and challenge yourself while being supported by a collaborative design team. 
 
About the team 
The Alexa Enterprise charter is to build and enable indispensable, frustration-free, Alexa experiences for enterprises worldwide &ndash; starting with digital entertainment, hotels and hospitality, aging, and healthcare. We build a portfolio of B2B2C software-as-a-service (SAAS) products that empower developers and enterprise companies to support their staff and delight their customers with Alexa. We also provide ready-made solutions that let device makers bring Alexa to their products with our Alexa Built-In program. 
 
We serve world-class partners such as Samsung, LG, Bose, Disney, Wynn Resorts, Hard Rock Hotels, Atria Senior Living, Spanish Red Cross, and BayCare Hospitals. Our products have been featured in publications such as CNET and Forbes, and Amazon has celebrated our progress in its quarterly earnings highlights. Customers have told us: &quot;You have saved lives&quot; and &quot;helped our residents connect with their families.&quot; Our team values work-life harmony and a diversity of lifestyles and family schedules. We love solving ambiguous problems for our customers by diving deep to understand our customers, Invent and Simplify, Think Big, Deliver Results, and Earn Trust.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of delivering design solutions as a UX designer or interaction designer experience</li><li>Have an available online portfolio</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of mass-market consumer web / mobile products experience</li><li>Experience working in a collaborative team and working directly with developers for implementation of designs</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. 
 
Pursuant to the San Francisco 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 $106,000/year in our lowest geographic market up to $184,000/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>

UX Designer, Alexa Enterprise

Industrial Automation Inc.

<div>Summary 
 
Industrial Automation Inc, a licensed OEM manufacturer of aircraft tooling, has an immediate opening for a full-time Purchaser. Applicants should have a minimum of two years' relevant experience and be familiar with Seattle-area suppliers of raw material and components. 
 
Compensation 
 
IA offers competitive wages based on experience and believes in a healthy work-life balance. Benefits include:
<ul><li>Employer-match 401K program,</li>
<li>Medical insurance,</li>
<li>Dental insurance,</li>
<li>Vision insurance,</li>
<li>Paid vacation,</li>
<li>Paid holidays.</li></ul> 
 
Essential Responsibilities and Functions
<ul><li>Work with Production Control and Sales to determine priorities and delivery schedules.</li>
<li>Request competitive quotes for both raw materials and purchased goods.</li>
<li>Evaluate quotations for best pricing and availability.</li>
<li>Place purchase orders based on competitive quotes.</li>
<li>Resolve issues with material availability, obsolete components, part number changes, etc.</li>
<li>Regularly contact suppliers for status updates and follow up on late orders.</li>
<li>Promptly communicate potential delays or other concerns with outstanding orders.</li>
<li>Maintain adequate inventory of shop consumables and tools.</li>
<li>Validate pack slips and invoices for Accounts Payable.</li></ul> 
 
Requirements
<ul><li>Good organizational skills.</li>
<li>Strong time management, ability to prioritize based on components' cost and time sensitivity.</li>
<li>Excellent written and verbal communication skills.</li>
<li>Proficient in MS Office.</li>
<li>Experience with ERP Systems.</li>
<li>Respect and commitment to the job and for coworkers.</li>
<li>Problem solving abilities.</li>
</ul>
Work Schedule 
 
Monday - Friday, 6:30A to 3:00P 
Industrial Automation Inc. is an Equal Opportunity Employer (EOE). 
 
Candidates must be U.S. Persons to ensure Industrial Automation Inc.&rsquo;s compliance with ITAR (International Traffic in Arms Regulations). &ldquo;U.S. Person&rdquo; includes U.S. Citizen, lawful permanent resident, refugee, asylee.</div>

Purchaser

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