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senior front-end engineer

senior software engineer

General Motors (GM)

<div><p><b>Job Description
</b></p><div><p><b>About Us<br>
</b></p></div><p></p><div><p>GM is developing the next generation of embedded platform software to deliver state-of-the-art ADAS features to our customers.<br>
</p></div><p></p><div><p>The Autonomy Interface SW (AIS) team is responsible for building runtime software that enables robust interface contracts, system degradation transitions, and seamless sensing integration with the autonomy stack .<br>
</p></div><p></p><div><p><b>The Role
</b></p></div><p></p><div><p>As a Senior Software Engineer, you&rsquo;ll be responsible for designing, documenting, and implementing complex, highly scalable, low-latency software in C++ on Linux-based systems for the AIS team. Your work will be the foundational software which the rest of GM&rsquo;s AV stack is built upon for safety-critical , performance-sensitive functions including but not limited to vehicle actuation controls/feedback interfaces, vehicle moding controls, etc. across the GM vehicle platforms.<br>
</p></div><p></p><div><p>If you are looking to solve one of today&rsquo;s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world, join us.<br>
</p></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>be doing (Responsibilities)
</b></p></div><div><ul><li><p>Develop software in C++ to interface with the autonomy stack with the other compute, sensors and custom hardware on the vehicle
</p></li></ul></div><div><ul><li><p>Improve and deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews
</p></li></ul></div><div><ul><li><p>Collaborate with colleagues across multiple teams and mentor other developers
</p></li></ul></div><div><ul><li><p>Lead and generates technical solutions including specifying of requirements, functional decomposition, analysis, development and testing for current, new and major programs
</p></li></ul></div><div><ul><li><p>Performs as Subject Matter Expert (SME) for at least one platform or application component
</p></li></ul></div><div><ul><li><p>Provide, communicate, and support common best practices among software community
</p></li></ul></div><div><ul><li><p>Lead development of software system team design content and software anomaly corrections.
</p></li></ul></div><div><ul><li><p>Knowledge of and experience applying software best practices
</p></li></ul></div><div><ul><li><p>Being able to specify and balances system requirements
</p></li></ul></div><p></p><div><p><b>Your Skills &amp; Abilities (Required Qualifications)
</b></p></div><div><ul><li><p>4+ years' experience building and shipping production-quality software, with a focus in Linux based environments
</p></li></ul></div><div><ul><li><p>Bachelor's, Master's, or PHD in relevant field or relevant work experience.
</p></li></ul></div><div><ul><li><p>Experience with C++ (17+), STL, and Python3
</p></li></ul></div><div><ul><li><p>Experience working with and building tooling for large, complex systems
</p></li></ul></div><div><ul><li><p>A high standard and commitment to quality by designing for maintainability, testability and efficiency
</p></li></ul></div><p></p><div><p><b>What Will Give You </b><b>a </b><b>Competitive Edge (Preferred Qualifications)
</b></p></div><div><ul><li><p>7+ years' experience building and shipping production-quality software, with a focus in Linux based environments
</p></li></ul></div><div><ul><li><p>Experience with safety critical development (FDA, FAA, Automotive)
</p></li></ul></div><div><ul><li><p>Experience with build tools like bazel or cmake
</p></li></ul></div><div><ul><li><p>Experience debugging across cloud and embedded systems
</p></li></ul></div><div><ul><li><p>Experience with ARXML or/and SOME/IP
</p></li></ul></div><div><ul><li><p>Experience with networking, TCP/ IP and UDP.
</p></li></ul></div><div><ul><li><p>Building and shipping production-quality software on and for embedded Linux / POSIX systems
</p></li></ul></div><div><ul><li><p>Experience working with ROS or similar pub/ sub IPC systems
</p></li></ul></div><div><ul><li><p>Leads and generates technical solutions including specifying of requirements, functional decomposition, analysis, development and testing for current, new and major programs
</p></li></ul></div><div><ul><li><p>Lead development of software system team design content and software anomaly corrections.
</p></li></ul></div><div><ul><li><p>Performs complex design analysis
</p></li></ul></div><div><ul><li><p>Being able to balance system requirements
</p></li></ul><p></p><p><b>Compensation: </b>The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
</p><ul><li><p><b>The salary range for this role: </b>is $125,000 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
</p></li></ul><ul><li><p><b>Bonus Potential: </b>An incentive pay program offers payouts based on company performance, job level, and individual performance.
</p></li><li><p><b>Benefits: </b>GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
</p></li></ul><p></p><p>#GM-AV-1
</p></div>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.&amp;#xa;&amp;#xa;The selected candidate will be required to travel &lt;25% for this role.&amp;#xa;&amp;#xa;
<p><b>About GM
</b></p><p>Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
</p><p></p><p><b>Why Join Us
</b></p><p>We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
</p><p></p><p><b>Benefits Overview
</b></p><p>From day one, we're looking out for your well-being&ndash;at work and at home&ndash;so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <b>Total Rewards resources </b>.
</p><p></p><p><b>Non-Discrimination and Equal Employment Opportunities (U.S.)
</b></p><p>General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
</p><p></p><p>All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
</p><p></p><p>We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <b>How we Hire </b>.
</p><p></p><p><b>Accommodations
</b></p><p>General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <b>email </b>us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</p></div><p></p>

Senior Software Engineer

Brex

<div><div><p><b>Why join us</b></p>
<p>
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises &mdash; including DoorDash, Flexport, and Compass &mdash; use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.</p>
<p>
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</p></div><p><b>
Engineering at Brex</b></p>
<p>
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level &mdash; from architecture to deployment. It's an environment where engineering is a craft, and builders become leaders.</p>
<p><b>
What you'll do</b></p>
<p>
As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We're looking for folks with an interest in building products and tools, and who are comfortable in dealing with lots of moving pieces. You'll be building customer-facing products that will drive direct business impact and shape our long-term technical vision with a high-quality bar. You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You'll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter.</p>
<p><b>
Where you'll work</b></p>
<p>
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Collaborate with engineers across the company to build new features and products end-to-end.</li>
<li>Work alongside user-facing teams like Sales and Support to deeply understand our customers' needs.</li>
<li>Design and implement solutions to improve our customers' banking experiences.</li>
<li>Own problems end-to-end, from user experience and data models to scalability, operability, and ongoing metrics.</li>
<li>Tune and polish features to a high degree of excellence.</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>7+ years of professional experience designing, developing, and deploying full-stack applications.</li>
<li>Experience building and designing scalable backend systems</li>
<li>Experience working with SQL or NoSQL databases</li>
<li>Experience working with backend programming languages (Java, Kotlin, Python)</li>
<li>Familiarity with software engineering development cycles</li>
<li>Ability to hold yourself and the team to high standards</li>
<li>Strong communication and interpersonal skills</li>
</ul>
<p><b>Compensation:</b></p>
<p>
The expected salary range for this role is $192,000-$240,000 + Equity. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</p><div><p><i>
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a </i><i>brex.com</i><i> domain. Any outreach claiming to be from Brex via other sources should be ignored.</i></p></div></div>

Senior Software Engineer, Product

Hayden AI

<div><div><p>Location</p><div>
San Francisco HQ Office</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><div>
Research &amp; Development</div><p>
Cloud</p></div></div><div><p>
Compensation</p><ul><div><p>
$175,579 &ndash; $228,253 &bull; Offers Equity &bull; Offers Bonus</p></div></ul><div><div>
We determine fair compensation for each position by considering market rates, qualifications, experience, and location.
<br>
<br>
This job posting reflects a salary range based on different levels within the position, which are primarily determined by location. Your interview performance will help us determine your base salary offer within this range.<br>
<br>
Keep in mind that salary is just one piece of Hayden's total compensation package. We also offer equity and a company-wide bonus plan. Additional benefits are shared as part of this job posting.</div><div></div><h1 class="jobSectionHeader"><b>
Benefits and Perks</b></h1><div>
There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields (AI, Computer Vision, Government Contracting, Systems &amp; Device Engineering, Operations, Communications, and more!)</div><ul><li><div>
Options for medical, dental, and vision coverage for employees and dependents (for US employees)</div></li><li><div>
Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)</div></li><li><div>
401(k) with 3% company matching</div></li><li><div>
Unlimited PTO</div></li><li><div>
Daily catered lunches in our San Francisco office</div></li></ul><div><br>
At Hayden AI, we are committed to creating an inclusive and diverse workplace where everyone is treated with respect and dignity. We believe that our differences make us stronger and drive innovation. As an equal opportunity employer, we do not discriminate against any employee or applicant based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering a work environment that celebrates diversity and ensures that every individual has the opportunity to contribute to our mission and achieve their full potential.
<br>
<br>
Please do not forward resumes to our jobs alias, Hayden AI employees or any other company location. Hayden AI is not responsible for any fees related to unsolicited resumes.</div></div></div></div>
<br><div><div><div><b>About Us</b></div><p>
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.</p><p>
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.</p><p>
About the Role</p><p>
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.</p><p>
The Infrastructure Engineering team is crucial to the overall success of Hayden products: We own all the underlying fabric that connects thousands of devices deployed in the field with large-scale, multi-region cloud services and applications that interact with the data we collect from those devices. If you are a true force multiplier, you will feel right at home in our team!</p><p></p><p><b>
Responsibilities:</b></p><ul><li><div><b>
Architect the Service Backbone:</b> Lead the design and evolution of the core services architecture, providing a robust, high-availability backbone utilized by all cloud services and engineering teams.</div></li><li><div><b>
Drive Technical Roadmap:</b> Define the long-term technical strategy and architectural vision for cloud services, ensuring alignment with future business growth and technological shifts.</div></li><li><div><b>
Strategic Decision Making:</b> Spearhead critical architectural decisions, perform deep-dive code reviews, and evaluate technical trade-offs to ensure a sustainable and scalable service ecosystem.</div></li></ul><ul><li><p><b>
Scale Multi-Region Cloud:</b> Design and manage globally distributed, multi-region cloud deployments using advanced Infrastructure as Code (IaC) to ensure seamless scalability and performance.</p></li><li><p><b>
Automate Everything:</b> Leverage automation and modern orchestration tools to reduce manual overhead, enabling a self-service infrastructure model that empowers developers to ship code faster and more safely.[1]</p></li><li><p><b>
Optimize Performance &amp; Cost:</b> Lead initiatives to continuously tune infrastructure for peak performance, maximum reliability, and cost-efficiency across cloud environments.</p></li></ul><ul><li><p><b>
Uphold Engineering Standards:</b> Establish and enforce elite software engineering and DevOps standards, including rigorous practices for monitoring, observability, and blameless post-mortems.</p></li><li><p><b>
Incident Leadership:</b> Raise the bar for incident prevention and response by modeling best practices in site reliability, proactive system hardening, and rapid remediation.</p></li><li><p><b>
Security by Design:</b> Embed security best practices and compliance guardrails directly into the infrastructure layer, ensuring the backbone is secure-by-default.</p></li></ul><ul><li><p><b>
Cross-Functional Technical Lead:</b> Act as the primary bridge between hardware, product, and engineering teams to translate complex business requirements into robust, end-to-end technical solutions.</p></li><li><p><b>
Build Consensus:</b> Drive cross-functional alignment on complex technical approaches, fostering a culture of collaboration and shared technical ownership.</p></li><li><p><b>
Mentor &amp; Multiply:</b> Cultivate the next generation of engineers through active mentorship, sharing expertise in distributed systems, cloud design patterns, and architectural excellence.</p></li></ul><p><b>
Requirements:</b></p><ul><li><div><b>
Experience &amp; Education:</b> 6+ years of professional software engineering experience with a Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or a related technical field.</div></li><li><div><b>
Programming Proficiency:</b> Expert-level command of <b>Python or Go (Golang)</b>, with a proven track record of building, testing, and maintaining production-quality distributed services.</div></li><li><div><b>
Data Systems:</b> Deep experience with relational, document, or time-series databases (e.g., PostgreSQL/RDS, DynamoDB, InfluxDB). Must demonstrate expertise in writing performant SQL and optimizing data schemas for scale.</div></li></ul><ul><li><p><b>
AWS Ecosystem:</b> Extensive hands-on experience architecting and operating at scale within the <b>Amazon AWS</b> ecosystem, specifically leveraging <b>EKS, S3, SQS, RDS, Cognito, and Lambda</b>.</p></li><li><p><b>
Infrastructure as Code (IaC):</b> Advanced mastery of <b>Terraform</b> (or similar tools) to manage multi-region, highly available cloud deployments.</p></li><li><p><b>
Container Orchestration:</b> Solid understanding of <b>Kubernetes (EKS)</b> and Docker, including experience managing containerized deployment pipelines and service meshes in high-traffic production environments.</p></li><li><p><b>
Systems Engineering:</b> Strong foundation in modern Networking, Security, Distributed Compute, Storage, and Observability (e.g., Prometheus, Grafana, ELK).</p></li></ul><ul><li><p><b>
Technical Leadership:</b> Proven ability to lead cross-functional technical initiatives, mentor junior engineers, and drive consensus on complex architectural approaches.</p></li><li><p><b>
Strategic Decision Making:</b> Ability to perform &quot;build vs. buy&quot; analyses, evaluate vendor relationships, and contribute to open-source communities where appropriate.</p></li><li><p><b>
Operational Excellence:</b> Comfortable in agile, fast-paced environments with a &quot;leave it cleaner than you found it&quot; mentality. Expertise in modern <b>DevOps and SRE</b> practices, including blameless post-mortems and proactive system hardening.</p></li><li><p><b>
Communication:</b> Exceptional communication skills with the ability to translate complex infrastructure requirements into actionable roadmaps for hardware, product, and software teams.</p></li></ul></div></div><p></p>

Senior Software Engineer, Infrastructure

Uber

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Uber is looking for a Software Engineer to join our Matching Platform team. This team sits at the core of Uber's real-time marketplace, ensuring that riders and drivers are matched efficiently, fairly, and at scale.
 <br/>
 <br/>
 Matching is one of Uber's most complex and impactful engineering problems, requiring expertise in high-scale distributed systems, real-time decision-making, and machine learning infrastructure. As a Senior Engineer, you'll play a key role in evolving our matching architecture, improving system efficiency, and enabling Uber's next-generation ML-powered matching capabilities. This is an opportunity to work on one of Uber's most business-critical domains with massive global impact.
 <br/>
 <br/>
 <strong>
  Some Of The Problems You'll Be Working On Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Building a highly scalable matching platform - handling millions of ride requests per second with ultra-low latency.
  </li>
  <li>
   Designing extensible architectures - creating a modular and flexible platform that allows new product innovations without complex rewrites.
  </li>
  <li>
   Evolving the ML platform for matching - enabling real-time inference, model deployment, and experimentation at scale.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What The Candidate Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and scale a low-latency platform powering millions of real-time match decisions per second
  </li>
  <li>
   Design modular systems that accelerate product innovation without rework
  </li>
  <li>
   Optimize for fairness, efficiency, and marketplace health at global scale
  </li>
  <li>
   Collaborate across product, infra, and ML teams to deliver business-critical impact
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-year full-time Software Engineering work experience, WHICH INCLUDES 3-year total technical software engineering experience in one or more of the following areas:
  </li>
  <li>
   Programming language (e.g. C, C++, Java, Python, or Go)
  </li>
  <li>
   Note the 3-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education &amp; full-time work experience indicated.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of technical software engineering experience in one or more of the following areas:
  </li>
  <li>
   Experience with distributed systems or microservice architectures.
  </li>
  <li>
   Experience with relational databases and distributed storage systems (MySQL, Cassandra).
  </li>
  <li>
   Passion for learning new technologies
  </li>
  <li>
   Experience with shipping efficient, reliable, crash-free code that reaches millions of users.
   <br/>
   <br/>
  </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
</div>


Software Engineer II, Matching Platform

Realign

<div>San Francisco, California 94016 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Role: Sr. AI/ML Engineer</b></p><ul><li> <b>Experience</b> &ndash; 10+ Years</li><li> <b>Location</b> - San Francisco, CA &ndash; LOCALS Only</li></ul><div><b>
Required Qualifications</b><br>
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications<br>
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul><br>
<b>
Roles &amp; Responsibilities</b><br>
<b>Role Overview</b><br>
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div><b><br>
Key Responsibilities</b><br>
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Sr. AI/ML Engineer-6

Apple

<p>Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Team of the Intelligent System Experience (ISE) group at Apple. We are responsible for building high quality datasets at scale. Every year, our team produces datasets used in the training of ML and AI-centric features for many Apple products, including iPhone, iPad, Mac, Apple Watch and even AirPods. Our work is used in very visible and critical features, from the wallpaper on your iPhone Lock Screen, to your personalized stickers on iMessage, to Apple Intelligence features such as on-device Genmoji and other visual generative models, to the models that highlight the faces and memories of your loved ones in your Photos app.<br>
<br>
We&rsquo;re looking for an exceptional software &amp; data engineer who is passionate about Apple products and values, who has a passion for data operations at scale, is comfortable in a fast paced environment and who is committed to the hard work necessary to continuously improve our ML data pipelines.<br>
<br>
We invite you to join us at this exciting time. Grow fast and positively impact multiple critical features from your first day at Apple!<br>
<br>
<b>Description</b><br>
<br>
Our team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&amp;D teams in Apple&rsquo;s SWE organization.&quot;,&quot;responsibilities&quot;:&quot;Operate and maintain data pipelines to effectively process up to billion-scale multimodal data<br>
<br>
Find creative ways to automate workflows or build self service tools, implement a variety of data tools for visualization, compliance and ML enrichment<br>
<br>
Help bring frontier generative model and agentic capabilities in our pipelines to further optimize our data operations ; and production-ize synthetic data workflows including orchestration and lineage<br>
<br>
Identify opportunities for improvement of internal infrastructure offerings, and influence roadmaps of partner teams to build or improve key components we rely on<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art processing technologies (eg familiarity with Iceberg, BigQuery, Airflow, Spark, etc.)<br>
<br>
Expertise in Python, Go or another modern programming language; you are expected to produce high quality, efficient code and participate in code reviews<br>
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Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment<br>
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Demonstrated prior experience in delivering large scale multimodal datasets for foundation models<br>
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Self-starter, able to handle ambiguity, comfortable in a fast-pace environment, identify risks, mitigate, and autonomously find the right people and tools to get the job done<br>
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Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries<br>
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<b>Minimum Qualifications</b><br>
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7+ years of industry experience as a data engineer serving various ML applications (vision domain preferred)<br>
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Bachelor's degree in Computer Science or related field<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 $181,100 and $318,400, 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 ML Data Engineer, ISE

Giga

<div>
 <strong>
  About Giga
  <br/>
  <br/>
 </strong>
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 <br/>
 <br/>
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 <br/>
 <br/>
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 <br/>
 <br/>
 <ul>
  <li>
   Voice AI startup Giga raises $61M Series A
  </li>
  <li>
   DoorDash and Giga Partnership
   <br/>
   <br/>
  </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 <br/>
 <br/>
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 <br/>
 <br/>
 <strong>
  What You'll Work On
  <br/>
  <br/>
 </strong>
 You'll contribute to projects across our stack. Some examples:
 <br/>
 <br/>
 <ul>
  <li>
   Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
  </li>
  <li>
   Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
  </li>
  <li>
   Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
  </li>
  <li>
   Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
   <br/>
   <br/>
  </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 <br/>
 <br/>
 <strong>
  You Might Be a Fit If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have 1-3 years of professional software engineering experience
  </li>
  <li>
   Are curious and ask good questions&mdash;you want to understand why things work, not just how
  </li>
  <li>
   Can take feedback well and iterate quickly
  </li>
  <li>
   Prefer shipping over perfection but still care about quality
  </li>
  <li>
   Want to grow at a startup where you'll have real responsibility early
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks &amp; Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Catered lunch daily
  </li>
  <li>
   Dinner stipend
  </li>
  <li>
   $150/month wellness benefit (gym, fitness classes, mental health)
  </li>
  <li>
   401(k) plan
  </li>
  <li>
   Paid parental leave (12 weeks maternal, 6 weeks paternal)
  </li>
  <li>
   Commuter benefits
  </li>
  <li>
   Medical, dental, and vision coverage
   <br/>
   <br/>
  </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 <br/>
 <br/>
 Compensation Range: $160K - $250K
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</div>


Software Engineer I / II - San Francisco

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