software engineer

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

ai engineer - agent

senior connector development engineer Jobs in Seattle

senior connector development engineer

senior data engineer

senior software engineer

Nautilus Bio

<div><div><p>Location</p><div>
Seattle</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div>
Software &amp; Bioinformatics</div></div><div><p>
Compensation</p><ul><div><p>
$164K &ndash; $221K &bull; Offers Equity</p></div></ul><div><div>
The hiring pay range for this position is based on skills, education, and experience relevant to the role. New hires are typically hired into the low to midpoint of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.</div><div></div><div>
Benefits include medical, vision, and dental insurance, group and supplemental life insurance, 401k retirement plan, responsible paid time off, parental leave, and more. Other components of total compensation include a competitive options grant at the time of hire (with potential for additional grants).</div></div></div></div>
<br><div><div><div>At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. We are developing a single-molecule protein analysis platform of unprecedented sensitivity, scale, and ease of use that we believe will democratize access to the proteome - one of the most dynamic and valuable sources of biological insight. To accomplish this, we are pursuing hard scientific problems with an entrepreneurial mindset and creating a world-class team of builders, innovators, and dreamers across a wide range of disciplines.</div><p>
We are hiring a <b>Senior Software Engineer II</b> to join our Cloud Data Pipeline team. This team is responsible for the data infrastructure that transforms raw protein measurement data into the scientific outputs that our customers and internal researchers depend on. You'll own ETL pipelines, cloud infrastructure, and the APIs and databases that connect our data platform to the rest of the company. As Nautilus moves into commercial deployment, this role sits at the intersection of data engineering rigor and the practical demands of a production scientific platform. Your work will directly shape what our customers can learn from their experiments and how reliably they can trust the results.</p><p>
This position will report to the Manager, Data Engineering and Cloud Pipelines and is located in Seattle, WA. The position is hybrid and requires a minimum of three days onsite.</p><p><b>
Responsibilities</b></p><ul><li><div>
Design and implement data pipelines and ETLs that process protein measurement data at scale, turning instrument outputs into reliable, query-able scientific results.</div></li></ul><ul><li><p>
Improve the architecture of existing cloud systems: identify structural weaknesses, propose better approaches, and drive implementation alongside the technical lead.</p></li></ul><ul><li><p>
Maintain and evolve the APIs and database schemas that serve internal teams including bioinformatics, science, and product development, adapting as their needs grow.</p></li></ul><ul><li><p>
Contribute to the team's DevOps practice: optimize AWS costs, manage cloud deployments, improve system security, and drive performance improvements through infrastructure changes.</p></li></ul><ul><li><p>
Work cross-functionally with scientific and software teams to define data quality metrics, understand how downstream consumers use pipeline outputs, and ensure the platform meets their needs.</p></li></ul><ul><li><p>
Surface and advocate for changes to project priorities and architecture across the cloud pipeline and adjacent projects.</p></li></ul><p><b>
Requirements</b></p><ul><li><div>
7+ years of relevant experience in a software engineering organization, with a strong track record of delivering production-quality systems.</div></li></ul><ul><li><p>
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.</p></li></ul><ul><li><p>
Fluency in a variety of programming languages. We are currently invested in Python for our data pipelines.</p></li></ul><ul><li><p>
Solid experience with cloud infrastructure on AWS including cost management and deployment practices.</p></li></ul><ul><li><p>
Experience with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CDK).</p></li></ul><ul><li><p>
Experience with relational and non-relational database design</p></li></ul><ul><li><p>
Demonstrated experience building and maintaining data pipelines or ETL systems at production scale.</p></li></ul><ul><li><p>
Skilled in multiple technology domains with the ability to independently pick up new ones as needed.</p></li></ul><ul><li><p>
Strong communication skills and comfort working across engineering, science, and product stakeholders.</p></li></ul><ul><li><p>
Ability to identify when a change in direction is necessary and deal competently with that shift.</p></li></ul><ul><li><p>
Familiar with AI-driven development tools and methodologies.</p></li></ul><p><b>
Nice to Haves</b></p><ul><li><div>
Experience with Docker and container orchestration tools (Kubernetes, ECS).</div></li></ul><ul><li><p>
Experience with workflow orchestration tools (e.g., Nextflow, Step Functions, Airflow, Prefect).</p></li></ul><ul><li><p>
Experience with data observability, pipeline monitoring, or data quality frameworks.</p></li></ul><ul><li><p>
Background in biotech, life sciences, or scientific data processing.</p></li></ul><ul><li><p>
Familiarity with NoSQL data stores and when to use them alongside relational databases.</p></li></ul></div></div><p></p>

Senior Software Engineer II, Cloud Data Pipeline Seattle

Lyft

<div><p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>
The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides.</p>
<p>
Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities.</p>
<p>
This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.</p>
<p>
This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately.</p>
<p>
We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul><li>Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders.</li>
<li>Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.</li>
<li>Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions</li>
<li>Deliver scalable, reliable, high quality and well-tested solutions and code.</li>
<li>Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations.</li>
<li>Lead code reviews, design reviews, production on-call support and incident triaging process.</li>
<li>Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices.</li>
</ul><h2 class="jobSectionHeader"><b>Experience:</b></h2>
<ul><li>B.S., M.S. in Computer Science or related technical field or relevant work experience.</li>
<li>6+ years of professional experience building scalable distributed systems with high availability, observability and reliability requirements.</li>
<li>Proven ability to build end-to-end products and platforms, collaborating effectively with various stakeholders e.g. Backend, Frontend, Data Engineering, Data Science, Claim Operations, and Product teams.</li>
<li>Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.</li>
<li>Experience driving AI adoption or automation initiatives to improve operational efficiency.</li>
<li>Proficiency in Python. Knowledge of React/Next.js and data analysis is a plus.</li>
<li>Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc.</li>
<li>Strong oral and written interpersonal skills.</li>
<li>Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus.</li>
</ul><h2 class="jobSectionHeader"><b>Benefits:</b><br>
</h2>
<ul><li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.</p>
<p>
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>
The expected base pay range for this position in the Seattle area is $136,160 - $170,200 , not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p></div>

Senior AI Software Engineer, Risk - Insurance Claims Management

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<div><br>
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<br>
<br>
<ul><li>Health, dental, vision, life, disability insurance</li><li>Retirement Benefits: 401(k) with company match</li><li>Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>Baby Bonding Leave: 18 weeks</li><li>Holidays: 13 paid days per year<br>
</li></ul><br>
</div><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA; Cambridge, MA, USA; Kirkland, WA, USA; Raleigh, NC, USA; Durham, NC, USA; Seattle, WA, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>8 years of experience programming in C++, Java, Python, Kotlin or Go.</li>
<li>5 years of experience testing, and launching software products.<br>
</li>
<li>5 years of experience in product development.</li>
<li>3 years of experience with software design and architecture.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.</li>
<li>Experience as a Tech Lead or Senior Software Engineer, building scalable internal platforms, workflow execution tools, or enterprise software development systems.</li>
<li>Experience integrating large language models and artificial intelligence into practical applications, and automating workflows or other creative use cases.</li>
<li>Ability to collaborate with Product Management to ensure engineering solutions are aligned with business goals.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
We are launching a massive, executive-backed transformation of our product introduction and software development life cycles. We need a Tech Lead to partner with our Lead Product Manager (PM) and architect the Tooling Work stream from the ground up.<br>
<br>
In this role, you will replace fragmented legacy systems and manual toil with an intelligent, AI-enabled ecosystem. You will lead a fully-funded engineering team to build a malleable tool chain that delivers startup agility without compromising enterprise-grade security. If you want to eliminate friction for thousands of colleagues and define the industry&rsquo;s new standard, this is your mandate.</p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<div><div><div><div><div><div><div><div><div><div><div><br>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div></div></div></div></div></div></div></div></div></div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Lead the design of an intelligent launch assistant using Large Language Models (LLMs) and agentic AI to analyze technical documents and automate recommendations.</li>
<li>Collaborate with the Lead PM to translate user journeys into scalable architectures, driving the evolution from minimum viable product (MVP) to a fully automated end-state.</li>
<li>Replace fragmented trackers with a unified workflow engine featuring transparent criteria, blocker tracking, and automated Service Level Agreement (SLAs).</li>
<li>Replace manual questionnaires with a dynamic logic engine that triggers Security and Compliance reviews only when necessary.</li>
<li>Build the back end for a real-time executive dashboard tracking North Star metrics like velocity, quality, and throughput.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, Google Cloud Agentic AI

Apple

<div>Do you want to play a part in the next revolution in Foundation Models? Contribute to model hillclimbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done - just by asking or typing?<br>
<br>
The vision for the AI/ML FM Data organization is to improve Foundation Models by leveraging data from a variety of sources: crawl, license, vendor and internal crowd-sourcing. As a Sr Software Engineering on the team, you will drive backend innovations, identify key opportunity areas where data can play a crucial role and experiment with various data augmentation strategies to improve model training efficiency and performance..<br>
<br>
<b>Description</b><br>
<br>
We are looking for people with a track record in building scalable pipelines and services. Join us, and impact hundreds of millions of customers across billions of their interactions with foundation model powered Apple Intelligence features, that are available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and tv across more than 30 languages!<br>
<br>
As a Sr Backend Software engineer, you will be responsible for the following areas.<br>
<br>
<ul><li>Training data pipeline development. Convert raw data into format acceptable by training jobs on GCP and AWS. Leverage internal and open-sourced training modules.</li></ul><br>
<ul><li>Large scale inferences: Leverage internal and open-sourced inference stack to generate inferences with fine-tuned LLMs on massive amounts of data, for pre-train and post-training</li></ul><br>
<ul><li>Data processing and data filtering: Have the ability to efficiently process and filter very large amounts of data, often times messy.</li></ul><br>
<ul><li>Scalable web services backend and APIs to support data access and data inspection tools</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
Familiarity with streaming-processing (Kafka). Familiarity with a variety of build tools (Jenkins, Maven, Docker, Gradle).<br>
<br>
Experience providing architecture and design guidance.<br>
<br>
A good communicator with clear and concise, active listening and empathy skills.<br>
<br>
Are self-motivated and curious. Strive to continually learn on the job.<br>
<br>
Have demonstrated creative and critical thinking with an innate drive to improve how things work. Have a high tolerance for ambiguity.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS in Computer Science or Equivalent.<br>
<br>
10+ years of programming experience in Python. Extensive experiences in concurrency and parallelism, functional programming, decorators. Familiarity in other programming languages (Java/GoLang/Rust/Swift).<br>
<br>
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.<br>
<br>
Solid foundational programming skills (algorithms, data structures, OOP, etc).<br>
<br>
Experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

AIML - Sr Backend Engineer, Data and ML Innovation

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Help shape new Generative AIUX products for AWS customers
<br>
<br>
Our team builds Generative AIUX products that transform the way customers design. We are focused on the future of design driven development and democratizing innovation for all builders. We deliver a shared platform across multiple products, and we work on AI-powered tools that use Design Systems to build interfaces, and accelerate design, development, and validation workflows. The two products you will be working on are Venue and project Arena. Venue is an AI powered internal prototyping tool that helps AWS builders create new features using the AWS Cloudscape Design system. Arena is an external version of the tool that helps scale this offering to all of Amazon and to external customers with a focus on 0-1 rapid prototyping.
<br>
<br>
We are seeking a talented and passionate generative/agentic Senior Machine Learning Engineer to join our team and lead the development of cutting-edge AIUX solutions. AIUX is the intersection of Artificial Intelligence and User Experience. AIUX focuses on making sure the user experience is bar raising for a human and simultaneously works well with agents. This includes designing for trust, transparency (letting users know they are interacting with AI), and providing control (allowing users to edit or undo AI actions). It enhances productivity, automates repetitive tasks, and creates more engaging, intuitive, and efficient user experiences.
<br>
<br>
The ideal candidate will bring expertise in generative and agentic AI and data analysis to create intelligent and transformative AI applications.
<br>
<br>
In this role, you will work closely with our product, design, and backend teams to build and enhance our generative AI platform. You will have the opportunity to influence the direction of our product and contribute to a culture of innovation and excellence.
<br>
<br>
Our team is dedicated to supporting new team members. It has a broad mix of experience levels and Amazon tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.<br>
<br>
Key job responsibilities<br>
<ul><li>Backend Integration (AI-Focused): Integrate with systems to manage asynchronous data flows from LLMs (Large Language Models) and other AI services.
</li><li>Optimize Performance: Ensure maximum speed and responsiveness of AI-driven interfaces, particularly when processing large datasets or real-time streaming output.
</li><li>Design and own end-to-end systems, spanning backend services, APIs, data storage, and frontend integration.
</li><li>Build and evolve GenAI-powered services that support design generation, validation, and automation workflows.
</li><li>Contribute to long-term technical vision and architecture decisions.
</li><li>Balance short-term delivery with scalable, maintainable system design.
</li><li>Work with internal teams to understand needs and translate them into robust solutions.
</li><li>Contribute to hiring, mentor junior engineers, and raise the overall engineering bar.
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience with emerging generative and agentic technologies</li><li>Experience in machine learning and data science</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations</li><li>Experience with agentic orchestration</li><li>Prior experience working with AWS applications, a plus</li><li>Experience with Bedrock, Kiro, or Claude a plus</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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, East Palo Alto - 193,300.00 - 261,500.00 USD annually<br>
USA, CA, Santa Clara - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Machine Learning Engineer, GenAIUX

<p>As a Data Engineer on the Capacity Engineering team, you will help design, build, and operate the data foundation that drives capacity, cost, and power-related decisions across Apple&rsquo;s infrastructure footprint.<br>
<br>
In this role, you will:<br>
<br>
Architect, implement, and maintain large-scale batch and streaming pipelines that ingest, process, and model infrastructure telemetry, cost, metering, utilization, forecasting, and power metrics from multiple clouds and bare metal environments.<br>
<br>
Design and evolve robust data models (with a strong focus on dimensional modeling) and storage patterns that support analytics, internal billing, and efficiency use-cases.<br>
<br>
Treat data as a product: define quality checks, SLAs, and observability to ensure data is accurate, timely, and trusted by stakeholders across Apple.<br>
<br>
Integrate and enrich raw signals with metadata and attribution to power use cases such as internal billing/showback, usage understanding, efficiency and optimization, clawbacks, planning, and procurement.<br>
<br>
Collaborate closely with data scientists, software engineers, platform teams, finance partners, program managers, and leadership to translate requirements into scalable, reliable data solutions and services.<br>
<br>
Implement standard methodologies for data governance, lineage, metadata management, and security, in alignment with Apple&rsquo;s standards for data protection and privacy.<br>
<br>
Build end-to-end data solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement.<br>
<br>
Contribute to the evolution of our data and platform stack, including tooling, frameworks, and standards for development, testing, deployment, and operations (CI/CD, infrastructure as code, etc.).<br>
<br>
<b>Description</b><br>
<br>
Apple&rsquo;s Capacity data engineering team, within the Apple Services Engineering organization, is building the centralized data backbone that powers how Apple understands, plans, and optimizes its cloud and data center infrastructure.<br>
<br>
We engineer a unified, trusted data lake that consolidates cost, metering, utilization, forecasting, and power metrics produced by Apple platforms and systems (including bare metal) across both third-party and Apple internal clouds. Enriched with metadata and attribution, this becomes the single source of truth for internal billing, understanding usage and utilization, clawbacks, planning, procurement, and efficiency initiatives.<br>
<br>
We collaborate with platform engineering, finance, capacity engineering, and leadership teams to build large-scale data pipelines, enable descriptive and predictive analytics, and power dashboards and products that support critical business decisions. This is your opportunity to help design and operate highly visible, global-scale systems processing petabytes of data and supporting hundreds of users across Apple.<br>
<br>
Come join us to help deliver the next generation of infrastructure insights at Apple.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Advanced degree in a related field a plus.<br>
<br>
Experience with data visualization / BI tools, such as Superset or Tableau (other tools like QuickSight, QlikView, Cognos, or Business Objects are a plus)<br>
<br>
Experience with containerization and orchestration, such as Docker and Kubernetes/EKS is a plus<br>
<br>
Understanding of authentication and authorization (AuthN/AuthZ) patterns<br>
<br>
Knowledge of data governance principles, data security best practices, and data privacy regulations<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field.<br>
<br>
5+ years of experience in data engineering (or equivalent practical experience), including:<br>
<br>
Building and maintaining large-scale ETL/ELT data pipelines<br>
<br>
Distributed computing (e.g., Spark / PySpark) for data processing and automation<br>
<br>
Query performance optimization and tuning at scale<br>
<br>
Hands-on experience with:<br>
<br>
Apache Spark and Airflow (or similar workflow/orchestration tools) for efficient large-scale data pipelines<br>
<br>
Data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting<br>
<br>
Big data platforms and/or data lake architectures<br>
<br>
Experience with CI/CD tooling such as Jenkins (or similar tools)<br>
<br>
Experience with cloud technologies, AWS/GCP (e.g., S3, EMR, Lambda, Glue, RDS/Redshift, Big-query, Kinesis or similar services)<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Data Engineer

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> PSA Engineer - Network Transmission <b>(Energy Domain)</b><br>
<b>Location &ndash; </b>Seattle, WA / Melbourne, FL<br>
<b>Contract</b></p><div><b>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div><b><br>
Generic Managerial Skills</b></div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>DEVOPS SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PSA Engineer / Network Transmission (Energy Domain)-6

Explore 181+ Senior software engineer in Seattle this April. Find roles across top companies and apply now to boost your career.