Engineering jobs in California - Page 13

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to ___. The Role As a Senior/Lead DevOps Engineer, you will drive initiatives that enhance the reliability, scalability, and efficiency of both production and development environments. You will lead major infrastructure and automation projects, improve tools and processes, and ensure the seamless deployment, monitoring, and operation of critical applications. This role includes guiding CI/CD strategy, advancing infrastructure-as-code practices, and providing operational leadership across engineering teams. Key Responsibilities • Provide technical leadership across infrastructure and automation projects., • Drive automation and maintenance of performance testing and pre-production environments., • Lead containerization efforts and champion Infrastructure as Code best practices., • Design and implement automation for engineering, deployment, and operational workflows., • Define and execute high availability (HA) and disaster recovery (DR) strategies., • Architect, optimize, and maintain CI/CD pipelines supporting multiple services and teams., • Create, maintain, and automate runbooks to improve operational consistency and reduce toil., • Participate in and guide on-call support, ensuring production systems remain stable and performant. Requirements • 7+ years of experience in SRE, DevOps, TechOps, or similar roles., • 5+ years of experience leading technical projects or contributing as a technical lead., • 3+ years working with containers and orchestration platforms (e.g., Kubernetes, EKS, ECS)., • Strong proficiency in shell scripting and at least one programming language such as Python or Go., • Demonstrated ability to define project scope, requirements, and delivery milestones., • Experience leading or collaborating with cross-functional engineering teams., • Solid experience operating and optimizing AWS production environments., • Strong knowledge of monitoring and observability technologies (e.g., OTEL, Prometheus, Grafana)., • Experience with at least two configuration or IaC tools, such as Puppet, Salt, Ansible, or Terraform., • Experience implementing or managing secrets management tools (e.g. Vault, AWS Secrets Manger), • Strong understanding of cloud security best practices and vulnerability management. BENEFITS & PERKS • Unlimited PTO, • Excellent medical, dental, and vision coverage, • Employee Equity, • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! SALARY RANGE The salary range for this role is $165,000 - $175,000, depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: ___ ZETA IN THE NEWS! #LI-DD1

Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to Los Angeles, CA, or ready to relocate to the employer's location. Job Summary: Our client is looking to hire 4 talented DevOps Engineers to join their dynamic team. The ideal candidate will be responsible for developing and maintaining the infrastructure and tools necessary for efficient software development, testing, and deployment processes. You will work closely with development, QA, and operations teams to streamline workflows and ensure the stability and scalability of our systems. Key Responsibilities: • Design, implement, and maintain CI/CD pipelines to automate software delivery processes., • Develop and manage infrastructure as code using tools like Terraform, Ansible, or CloudFormation., • Monitor and optimize system performance, reliability, and security., • Collaborate with development teams to integrate new features and improve existing ones., • Automate repetitive tasks to improve efficiency and reduce manual intervention., • Implement and maintain monitoring, logging, and alerting systems to ensure system health and performance., • Troubleshoot and resolve infrastructure-related issues promptly., • Ensure compliance with security best practices and regulatory requirements., • Bachelor's degree in Computer Science, Information Technology, or a related field., • 3+ years of experience as a DevOps Engineer or in a similar role., • Proficiency in scripting languages such as Python, Bash, or PowerShell., • Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI., • Strong knowledge of cloud platforms like AWS, Azure, or Google Cloud Platform., • Familiarity with containerization and orchestration tools like Docker and Kubernetes., • Solid understanding of networking concepts and security best practices., • Strong problem-solving and analytical skills., • Excellent communication and teamwork abilities.

Your role in our mission As a Site Reliability Engineer I at Prosper, you will play a crucial role in enhancing the reliability, scalability, and maintainability of our technology platform. This entry-level position is designed to bridge the gap between application development and infrastructure, ensuring our systems are robust, observable, and easy to maintain. You will also contribute to optimizing deployment workflows, observability practices, and overall operational readiness. • Develop and enhance software applications and configuration to better align with operational needs. Collaborate closely with the development team to achieve the company’s overarching goals., • Deploy, maintain, and optimize our comprehensive observability stack, including metrics, logs, and traces. Design and refine alerting strategies to transition from reactive monitoring to proactive., • Manage and provision cloud infrastructure using modern Infrastructure as Code tools., • Leverage innovative GenAI tools to boost SRE efficiency. This involves developing and maintaining systems that utilize AI for in-depth data analysis, automated incident diagnostics, and improved deployment reliability checks., • Participate in on-call rotation to ensure production reliability., • A Bachelor’s degree in Computer Science, Engineering, or 1+ years of experience in a relevant technical operations or platform role., • Possess a solid understanding of core SRE concepts and cloud computing principles., • Demonstrate skill in at least one modern programming or scripting language (e.g., Python, Java, Bash) for automation and tooling development., • Experience working within Windows, Linux, or Unix environments., • Proven ability to approach complex, ambiguous production issues with a systematic, data-driven methodology., • The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people’s lives., • The opportunity to work in a fast-paced environment with experienced industry leaders., • Flexible time off, comprehensive health coverage, competitive salary, paid parental leave., • Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts., • A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts.$97,000 - $125,000 a yearThe salary for this position is $97,000 - $125,000 annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors. #LI-AW1#IND1 About Our Technology TeamWe are growing our Technology team to support our various financial products. The ideal candidate is passionate about learning the Fintech domain and delivering cutting-edge, high-quality solutions to solve business problems. We utilize a progressive, test-driven, Agile development methodology that places a high premium on communication, teamwork, sound design and clean implementation. About UsFounded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than 2 million people gain access to affordable credit with over $27 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, credit, home equity lines of credit (HELOC), and our newest product, HELoan. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission. We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all! Our ValuesDiversity expands opportunitiesCollaboration creates better solutions Curiosity fuels our innovationIntegrity defines all our relationshipsExcellence leads to longevity Simplicity guides our user experience Accountability at all levels drives results ______ // ___ Applicants have rights under Federal Employment Laws._________ California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA: ___ At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being. Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.

The role We are seeking a Manager, Data Science to join our Lending Business Insights and Data Science team. This leader will partner closely with SoFi’s Product, Engineering, and Finance teams to optimize our application funnels through experimentation, understand product usage across member segments, and enable data driven strategic decision making. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. We pride ourselves on a philosophy of continuous learning, and you should likewise be committed to furthering growth and providing mentorship for your team members. What You'll Do • Build and lead a great data science team to deliver the best consumer financial products on the market, • Apply your expertise in quantitative analysis, data science, and the presentation of data to see beyond the numbers and understand how our users interact with our products or SoFi Platforms, • Partner with Business, Product, Engineering, and Finance teams to solve problems and identify trends and opportunities, • Inform, influence, support, and execute our product decisions, • Build/maintain reports, dashboards, and metrics to monitor the performance of our products, • Manage the development of data marts, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful What you’ll need: • Bachelor’s Degree in Computer Science, Math, Physics, Engineering, or related quantitative field., • 2+ years of experience in managing other team members in a formal or informal capacity, • 5+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages, • 5+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting, • Experience initiating and drive projects to completion with minimal guidance, • Experience communicating and representing results of analysis to senior leadership, • Understanding of statistical analysis, experience with packages, such as Python, R, • Experience with cloud-based platforms, such as AWS, Snowflake, • Experience with building data visualizations with Tableau, Looker or other BI tools

Modal is building the serverless compute platform to support the next generation of AI companies. We have deeply technical roots and have built up a significant amount of proprietary infrastructure—including our own custom file system, container runtime, scheduler, container image builder, and more—to craft a world-class developer product. We're a small team based out of New York, Stockholm and San Francisco. In just one year, we've reached 8-figure revenue, tripled our headcount, scaled to support thousands of GPUs, and raised over $32M in funding. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. ___, ___), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. Modal builds AI infrastructure products that developers love. That's how we grew so quickly. Word-of-mouth remains one of our most important channels today, and we're looking to hire the first few developer relations engineers who will be able to help scale this out. From ___ to ___ to ___, we want to meet developers through any medium and empower them to ship novel AI products. In this role, you will primarily be creating and distributing technical content that is unique, educational, and practical. This content will be the first Modal touchpoint for many of our users. We want to not only showcase the power and developer experience of Modal, but also be a trusted resource for them when it comes to implementing new AI technologies. In this role, you will: * Ship high-quality technical content (videos, cookbooks, integrations, creative mini-apps) that helps developers see the value of Modal for various AI use cases. * Distill the latest open-source advancements in AI technology and educate developers on how to incorporate them. * Give demos/talks about Modal and adjacent AI technology at developer events. * Engage with users in our community, both online (X, Reddit, Slack) and at in-person events. * Embed yourself in the AI ecosystem. Build relationships, integrations, and joint marketing activities with other developer-focused AI companies (including model and framework builders). * Set objectives that are aligned with the greater GTM team and track the impact of the initiatives you work on. We are looking for someone who: * Has 3+ years experience as a software engineer, with at least 1 year experience as an ML engineer. * Is energized by the AI developer community and wants to help developers adopt new technologies. * Loves teaching. * Has excellent technical communication skills. * Is metrics-driven and takes quantitative approaches to prioritizing initiatives. * Is excited about working in-person in the SF office. * Bonus: you're not afraid to think outside the box when it comes to compelling technical content. * Bonus: you already have a developer following on social media!

You’ll be the technical founder driving the machine learning and AI backbone behind Known — an intelligent, compatibility-driven dating platform that blends psychology, data, and human-like conversation. You’ll design and ship the systems that make Known feel magical: personalized matching algorithms, adaptive recommendation loops, and natural voice/LLM-based interactions that help users connect meaningfully. You’ll work closely with the founding team (product, platform, and design) to shape both the data and ML foundations and the user-facing experiences that differentiate Known. This is a hands-on role with ownership across research, prototyping, and production deployment. * Design and implement multi-stage matching systems (embedding-based retrieval + LLM re-ranking) for compatibility scoring, search, and personalization. * Develop and maintain ML pipelines for data ingestion, feature generation, model training, evaluation, and inference. * Prototype and productionize agentic workflows for natural-language and voice interactions (e.g., AI-assisted intake interviews, voice matching, or conversation agents). * Deploy and monitor ML models in production with guardrails for performance, fairness, and safety. * Run offline & online experiments (A/B and multivariate) to measure real-world outcomes such as engagement, match success rate, and conversation quality. * Collaborate cross-functionally with platform engineers and product designers to integrate AI seamlessly into the Known user experience. * 3+ years in applied ML or data science engineering roles, ideally working on recommendation, search, or personalization systems. * Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX, Hugging Face). * Experience with LLMs, embeddings, and agentic workflows. * Understanding of A/B testing and human-in-the-loop system design for model evaluation in production. * Familiarity with ANN search systems and modern MLOps tools is a plus. * Reinforcement learning or preference modeling experience is a strong plus. * You care about building safe, fair, and human-centered AI experiences. * Develop a user matching system based on profile information, onboarding transcripts and engagement behavior. * Build a dynamic profile enrichment pipeline that integrates behavioral and linguistic features into user representations. * Deploy a lightweight LLM-powered voice agent for user intake and conversational matchmaking. * Create an evaluation harness combining offline metrics (AUC, NDCG) and online experiments (match acceptance, message rate). * Build model monitoring and retraining loops informed by live interaction feedback. This is an opportunity to define the technical DNA of a consumer AI product from day one — to architect and deploy systems that combine data science, human psychology, and generative AI. Your work will directly shape how people connect, communicate, and build relationships in an AI-assisted world.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are looking for a Machine Learning Engineer to help us train Claude specifically for virtual collaborator workflows. While Claude excels at general tasks, a lot of knowledge work requires targeted training on real organizational data and workflows. Your job will be to design and implement reinforcement learning environments that transform Claude into the best virtual collaborator, training on everything from navigating internal knowledge to creating financial models. • Designing and implementing reinforcement learning pipelines specifically targeted at virtual collaborator use cases (productivity, organizational navigation, vertical domains), • Building and scaling our data creation platform for generating high-quality, open-ended tasks with domain experts and crowdworkers Integrating real organizational data to create authentic training environments, • Developing robust rubric-based evaluation systems that maintain quality while avoiding reward hacking, • Training Claude on advanced document manipulation, including understanding, enhancing, and co-creating, • Partnering directly with product teams to ensure training aligns with shipped features, • Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using, • Have strong machine learning experience, • Thrive at the intersection of research and product, with a pragmatic approach to solving real-world problems, • Are comfortable with ambiguity and can balance research rigor with shipping deadlines, • Enjoy collaborating across multiple teams (data operations, model training, product), • Can context-switch between research problems and product engineering tasks, • Care about making AI genuinely helpful for everyday enterprise workflows, • Building human-in-the-loop training systems or crowdsourcing platforms, • Working with enterprise tools and APIs (Google Workspace, Microsoft Office, Slack, etc.), • Developing evaluation frameworks for open-ended tasks, • Domain expertise in finance, legal, or healthcare workflows, • Creating scalable data pipelines with quality control mechanisms, • Reward modeling and preventing reward hacking in RL systems, • Translating product requirements into technical training objectives Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary: $340,000 - $560,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about ___ for using AI in our application process

Delve is building an AI-native platform that transforms compliance from tedious, manual work into effortless, automated workflows. We’re the fastest growing compliance company on the market. Delve helps 100s of companies save 100s of hours (e.g. Lovable, 11x, WisprFlow) by eliminating compliance busywork and helping them focus on what matters — securely supporting their customers. Our team is a tight-knit group of builders—former founders, operators, and engineers—obsessed with solving real problems for real customers. We come from Stanford, MIT, Berkeley, OpenAI, and international olympiads. Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our 32M Series A and are scaling quickly! One step at a time, we’re on a mission to eliminate busywork for humanity. As an Applied AI Engineer, you will play a pivotal role in bringing the latest AI research into production. In this role, your focus will be on turning state-of-the-art techniques into tangible products. You’ll collaborate closely with product engineers to design, implement, and deploy AI-driven features end-to-end. This is a high-impact role where you’ll own projects from idea to production, and your contributions will directly shape our product and technical trajectory. You will collaborate with a world-class team of engineers with research background to build innovative, scalable systems. As part of our fast-paced startup, you’ll have the opportunity to influence technical direction, contribute ideas across the stack, and rapidly grow into taking more leadership as we scale. We value first-principles thinking and a get-things-done attitude – you will have broad autonomy to experiment and iterate in pursuit of the best solutions. * Drive AI Innovation: Research, prototype, and build cutting-edge product, and customer facing AI Systems, pushing the state-of-the-art to solve our core technical challenges. * End-to-End Development: Design, implement, and deploy AI pipelines and systems—from evaluation design and benchmarking through product integration—ensuring high performance, reliable production observability, and end-to-end safety and transparency. * Collaborate & Iterate: Collaborate with backend engineers and product engineers to turn cutting-edge ideas into production-ready solutions—rapidly iterating on experiment data and user feedback, and applying a rigorous scientific approach to refine models and algorithms. * Technical Leadership: Contribute to technical decision-making and architectural discussions for AI components. Uphold high engineering standards and share best practices in code reviews and design discussions. * Continuous Learning: Stay up-to-date with the latest research and developments in AI. Evaluate new approaches or tools, and drive their adoption when they can advance our capabilities. * Strong AI Fundamentals: Deep understanding of Test Time Compute Techniques, Deep Learning Frameworks, Unsupervised Scaling Methods, and Autonomous Data Collection Methods. * Proven Technical Excellence: Demonstrated ability to build and deploy AI solutions. This could be anything ether industry experience or exceptional project/research work (publications, open-source contributions, competition wins, etc.) – we care about quality of experience over quantity. * Programming Skills: Preferably extensive Python experience. * Problem-Solving & Math: Outstanding problem-solving skills, with a creative and analytical mindset. Strong foundation in mathematics (linear algebra, calculus, probability) and comfort with reading research papers when needed. * Communication & Collaboration: Excellent communication skills. You can clearly articulate complex technical concepts to team members and actively listen and incorporate feedback. You work well in a team, value open discussion, and thrive in a fast-moving, meritocratic environment where everyone is encouraged to voice ideas and concerns. * You’ll work shoulder-to-shoulder with an exceptional team: * Ex-Stanford, MIT, and Berkeley engineers with dozens of papers * International Olympiad winners and medalists * Ex-OpenAI engineers with 10+ years of domain expertise for mentorship * Ex-Google Deepmind engineers * Former founders who’ve closed $500k in revenue at 19 and hired 40+ people * Decisions happen live, not in backlogged async threads * A players work with A players. There’s a buzzing energy in the office. Hit the whiteboard with anyone here and you’ll understand why. * Impact & Ownership: As an early employee, you’ll have a massive impact on our product and culture. You will own significant projects from day one and see your work directly affect the company’s success. * Learning & Growth: Work alongside some of the brightest minds in AI and software engineering. Our team’s pedigree and our culture of continuous improvement will accelerate your personal and professional growth. We challenge each other to grow every day and support learning in areas you’re passionate about. * Meritocratic Culture: We reward results and initiative. Hard work and innovation are recognized – high performers can expect rapid advancement in responsibility and role. You’ll have the chance to shape your role and even define new ones as the company scales. * Competitive Compensation: We offer a compelling salary, meaningful equity, and benefits. You’ll share in the upside of the company’s success. * Cutting-Edge Work: You’ll be tackling unsolved problems and using the latest techniques in AI. If you love building bold, novel solutions instead of following the status quo, you’ll fit right in. * Mission-Driven Team: Join a team that is passionate, driven, and believes in the positive impact of technology. We’re in this to build something that matters. Benefits * 100% medical, dental & vision coverage (for you; partial for dependents) * 401k with employer match * Unlimited PTO + federal holidays * GrubHub stipend + all meals covered in-office * Gym membership covered * Frequent team dinners, events, and off-sites * The opportunity to eliminate busywork for humanity

We're a leading partner in social commerce, collaborating with major athletic wear, footwear, and electronics brands to expand their influencer -driven sales channels. Having achieved significant revenue milestones, we're rapidly expanding our technical team. Our mission is to create the ultimate platform connecting content creators with brands across major e -commerce ecosystems including video shopping platforms, social media marketplaces, and online retail channels. <div> <div>We're developing critical infrastructure for the digital creator landscape and integrating artificial intelligence with enterprise -level brands and influencers. Your contributions will have immediate user impact—our customer base relies on our platform for their daily operations. <div> <div>Salary: $170,000 -$225,000 base + equity <div> <div>Responsibilities: <div>• Architect and maintain machine learning systems across the full lifecycle: research, prototyping, training, deployment, and continuous improvement <div>• Develop multimodal ML solutions processing video content, textual data, imagery, and audio at enterprise scale <div>• Engineer and implement large language model applications utilizing retrieval -augmented generation and AI service integrations <div>• Create content analysis and categorization models for written and visual media <div>• Build discovery and search capabilities using vector embeddings and semantic matching <div>• Develop audio processing and analysis workflows <div>• Establish ML operations infrastructure including data engineering pipelines, model deployment services, performance monitoring, and experimentation frameworks <div>• Collaborate on ML/AI product innovation with product teams and clients <div>• Utilize cutting -edge AI tooling to enhance development velocity <div>• Partner directly with clients to transform ambiguous needs into production ML solutions <div>• Deliver rapidly in a fast -paced, high -priority environment <div><span>

The Role The Risk Signals and Controls team's mission is to power Block's risk decisions with trusted signals and lean, effective models built on evolving data. We do that by building efficient tools and workflows to accelerate fraud detection and model effectiveness evaluating thousands of transactions per second in real time. We closely collaborate with ML Modellers and Software Engineers from across Block to optimize the signal lifecycle to improve signal quality, reduce noise, and accelerate time-to-insight. We're also excited to explore new directions with the team to continue pushing the boundaries of what's possible. You Will • Design, build, and maintain data pipelines to ingest third parties and Block data to enhance our feature store and modeling capabilities., • Design elegant ML pipelines and services, prototype new approaches, and productionize solutions at scale., • Build tooling to help maintain our features and models, gaining efficiencies in fraud detection., • Work hand-in-hand with ML Modelers to identify and integrate new data sources, heuristics and models., • Solve challenging technical problems at scale, collaborating with colleagues located across the globe, • Apply ML and engineering best practices to shape how Block develops, tests, and maintains ML-platform solutions., • Ensure data quality and completeness through automated validation, monitoring, and alerting., • Own your solutions from design through to operation: we all share the pager! You Have • 12+ years of experience in software development and demonstrated technical initiative and leadership on previous machine learning projects., • A proven ability to shape how teams effectively adopt and evolve AI practices; driving adoption of AI-first workflows by coaching leaders, identifying scalable use cases, and embedding quality and accountability in team norms., • Work autonomously in a fast paced, ambiguous and unpredictable environment, • Natural curiosity & eagerness to learn, • Show the ability to take initiative, lead, and drive creative solutions in cross-team contexts., • A strong interest in owning your solutions, maintaining and fixing them as necessary, • Communicate via clear and concise writing to facilitate asynchronous collaboration across multiple time zones, • Reason about complex, distributed systems at high scale, • Proficiency in machine learning techniques, experimental design and data engineering, • Strong programming skills in languages such as Kotlin, Python, TensorFlow, or PyTorch Technologies We Use and Teach We value general engineering skill and versatility over existing domain knowledge, but here's a sample of what we currently use: • Python, Java and Kotlin, • HTTP, JSON, gRPC, Protocol Buffers, • AWS, Databricks, and Kubernetes, • MySQL, DynamoDB, Kafka, Spark, • Prefect, Airflow We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build an inclusive workplace? Check out our ___ We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build an inclusive workplace? Check out our Full-time employee benefits include the following: • Healthcare coverage (Medical, Vision and Dental insurance), • Health Savings Account and Flexible Spending Account, • Retirement Plans including company match, • Employee Stock Purchase Program, • Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance, • Paid parental and caregiving leave, • Paid time off (including 12 paid holidays), • Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees), • Learning and Development resources, • Paid Life insurance, AD&D, and disability benefits These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. What You’ll Do We are seeking a highly qualified candidate to join our Information Technology Group, responsible for designing and operating our IT infrastructure. As the IT Infrastructure Engineer, you will design and implement information systems to support our datacenter, server, and storage operations. This role involves defining next-generation architectures, conducting technology research, analyzing market trends, and ensuring seamless integration of datacenter and server solutions. Location: Daily onsite presence at our San Jose HQ Location in alignment with our Flexible Work policy Req: 42629 Key Responsibilities • Datacenter and Server Room Operations, • Design, build, and maintain optimal datacenter and server room infrastructure., • Lead new datacenter and server room design projects and upgrades., • Monitor operations and environmental controls to ensure uninterrupted services., • Implement best practices for datacenter management to investigate and resolve performance issues., • Identify and manage assets and overall operational status related to datacenters and networks., • Define and document architectural standards, patterns, and best practices for datacenter solutions., • Server and Storage Management, • Design, build, and operate high-performance server and storage systems., • Analyze and recommend server and storage specifications based on lab requirements., • Establish management processes to optimize server and storage operations., • Conduct technical evaluations and proofs-of-concept for server and storage products from external vendors., • Cross-Functional Collaboration, • Partner with teams in network, security, and operations to integrate solutions seamlessly within the IT ecosystem., • Participate in company infrastructure projects as a systems specialist and solution provider., • Optimization and Research, • Monitor IT resource utilization and develop optimization plans., • Stay current with industry trends, emerging technologies, and best practices in server, storage, and datacenter domains. What You Bring • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience) with 5+ years of work experience or Master’s degree with 3+ years of work experience., • Minimum of 4 years of experience in datacenter, server, and storage administration., • Broad expertise in infrastructure systems, including HPE, Cisco, Dell, Lenovo, NetApp, AWS, Azure, GCP, Linux, Microsoft Windows Server, Virtualization/VMware, server clustering, MS Active Directory, enterprise backup solutions, and networking protocols., • Experience in designing and promoting new datacenter construction projects., • Proficiency in high-speed networking topologies and testing commonly used in datacenter environments., • Understanding of Linux system (e.g., OS, NFS, DNS, LDAP)., • Advanced problem-solving skills with the ability to develop and propose solutions for complex challenges., • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • You’re collaborative, building relationships, humbly offering support and openly welcoming approaches., • Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-MD1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and an errand service. Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $113,600 - $170,400 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant Privacy Policy

At Kizen, we’re engineering a more humane future where AI drives universal healthcare, more impactful work, world-class education, exceptional customer experiences, and — overall — a more fulfilling human experience. Kizen is on a mission to give every team member an AI Assistant - turning every company into an AI-company, every worker into an AI-Enhanced Worker, and every Process into an AI-optimized, continuously improving process. Kizen is the first GenAI enterprise application builder. Businesses of any size, within any industry can build AI assistants for complex jobs across healthcare, finance, and HR and modern enterprise applications - like CRMs, Workflow Automation, Real Time Dashboards, and Secure Portals in minutes and perfect them in an afternoon. Kizen helps teams systematically improve processes and business outcomes with data-driven insights and powerful automation with access to all the latest AI models. Shape the Future of AI at Kizen Are you ready to push the boundaries of what's possible with AI and backend systems? At Kizen, we're engineering intelligent systems that combine cutting-edge AI with robust backend architecture to revolutionize healthcare, redefine work-life balance, transform education, and elevate customer experiences. Our mission is to create technology that doesn't just work – it transforms how businesses operate. As we rapidly expand, we're seeking exceptional engineers who excel in both AI development and backend systems. This is your opportunity to be part of something transformative – to architect and build systems that set new benchmarks for what technology can achieve across industries. At Kizen, you'll join a brilliant, fun team tackling challenges that matter. We offer: • The opportunity to work on groundbreaking AI technologies with real-world impact, • A startup culture that values innovation, ownership, and rapid iteration, • Regular opportunities to present your technical solutions to company leadership, • A supportive environment for professional growth and learning We're looking for a Principal AI Engineer to provide strategic feedback and direction for our engineering team as we bring our next-generation platform to the world. In this position, you'll architect, plan, and build sophisticated AI systems with collaborators seamlessly integrating with our backend infrastructure, focusing on generative AI, retrieval-augmented generation (RAG), and multi-agent architectures. Key Responsibilities • Lead the design and implementation of production-ready RAG systems that integrate seamlessly with our backend infrastructure using Django, Kafka, PostgreSQL, and Clickhouse, • Architect multi-agent AI systems that operate effectively within our platform's constraints and understand business value implications., • Drive product strategy by providing accurate work estimations and technical roadmaps with minimal supervision., • Design and implement sophisticated vector search solutions, including graph-based RAG systems, • Architect and build highly scalable LLM-powered systems that can handle enterprise-level workloads, • Lead LLM fine-tuning initiatives to customize models for specific business domains and use cases, • Design and implement user feedback systems to collect, analyze, and incorporate insights for continuous improvement, • Optimize LLM performance, cost, and reliability in production environments, • Establish MLOps best practices using platforms like Langfuse or LiteLLM to ensure robust model monitoring and evaluation, • Mentor and develop junior engineers in AI/ML best practices, • Collaborate with cross-functional teams to translate business requirements into technical solutions, • Lead system architecture decisions and technical direction for AI initiatives, • Evaluate emerging AI technologies for potential adoption Education and Experience • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, • 8+ years of backend engineering experience with Django, Kafka, and PostgreSQL, • 4+ years of hands-on experience building and deploying machine learning systems, • Proven track record of implementing production RAG systems at scale, • Strong experience in product management, including work estimation and roadmap planning, • Experience building solutions at scale with large enterprise data in healthcare, finance, or banking sectors. Technical Expertise • Expert-level Python development skills with Django experience, • Deep understanding of distributed systems and message queuing using message broker systems (e.g., Kafka), • Advanced PostgreSQL knowledge, including optimization for AI workloads, • Experience building and optimizing retrieval-augmented generation (RAG) systems, • Experience architecting and implementing multi-agent AI systems, • Knowledge of deep learning frameworks (PyTorch or TensorFlow) and NLP, particularly transformer architectures, • Experience with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes), • Experience building solutions using pre-trained LLMs (OpenAI, Claude, Llama, etc.), • Strong background in MLOps practices and tools, including platforms like Langfuse or LiteLLM, • Proficiency in writing clean, well-documented code and troubleshooting complex issues, • Experience in testing and validating products and communicating results with stakeholders ML/AI Experience • Experience applying graph algorithms to machine learning problems, • Strong experience with modern NLP techniques and transformer architectures, • Knowledge of evaluation metrics for NLP system performance, • Solid foundation in probability theory and statistical inference, • Experience with statistical modeling and hypothesis testing, • Understanding of sampling methods and experimental design LLM Systems Expertise • Proven experience designing and implementing scalable LLM-powered systems in production environments, • Deep understanding of LLM orchestration and optimization techniques for high-throughput applications, • Experience with prompt engineering, fine-tuning, and context window management for optimal LLM performance, • Demonstrated expertise in LLM fine-tuning methodologies, including RLHF, PEFT, and LoRA techniques, • Experience building data collection pipelines for LLM training and fine-tuning, • Knowledge of efficient usage strategies, cost optimization for LLM API consumption, and performance optimization of large-scale deployments., • Experience implementing LLM caching mechanisms and vector store optimizations, • Expertise in designing fault-tolerant LLM architectures with appropriate fallback mechanisms, • Understanding of techniques to reduce latency in LLM-powered applications, • Knowledge of strategies for handling data privacy and security in LLM applications User Feedback and System Improvement • Knowledge of model monitoring and evaluation techniques, • Experience designing and implementing robust user feedback collection systems for AI applications, • Knowledge of feedback aggregation and analysis techniques to identify patterns and improvement areas, • Experience building systems that leverage user feedback for continuous LLM improvement, • Understanding of human-in-the-loop approaches for refining AI system outputs, • Experience with A/B testing frameworks to evaluate AI system changes, • Ability to translate user feedback into actionable model improvements, • Experience implementing evaluation frameworks to measure AI system quality and performance Professional Skills • Demonstrated ability to lead technical initiatives and architectural decisions, • Experience managing technical product roadmaps and providing accurate work estimations, • Strong problem-solving skills and ability to work independently on complex projects, • Strategic thinking ability to balance immediate solutions with long-term scalability, • Excellent collaboration skills when working with cross-functional teams, • Excellent written and verbal communication skills in English, • Driven, self-motivated, adaptable, empathetic, energetic, and detail-oriented Preferred Qualifications • Experience with graph-based RAG systems, • Contributions to open-source projects in backend or AI domains, • Experience with streaming data processing at scale, • Deep interest in emerging AI technologies and their practical applications, • Strong mentoring capabilities to guide and develop team members, • Ability to work in our Los Angeles or Austin office We’re a fast-growing company that values innovation, growth, and continuous improvement. By joining Kizen, you’ll play a pivotal role in shaping the future of the company while enjoying a supportive, dynamic, and collaborative workplace. You’ll have opportunities for professional development, impact, and career advancement. • Hybrid Work Model, • Career Growth Opportunities, • Engaging Work Culture, • Top-Tier Compensation, • Equity Package, • Healthcare Coverage, • Professional Development Stipends, • PTO Kizen is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. At Kizen, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. The base salary range for this position is $250,000-$350,000. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer generous equity and benefits packages. If you’re excited about creating impact experiences and contributing to a fast-paced, people-focused team, we’d love to meet you! OTE - $312,000-$412,000K Compensation Range $250,000 - $412,000 USD

Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. We are looking for a Machine Learning (ML) Engineer who can create forecasting models that help quickly decarbonize the electricity system. This is the ideal role for someone who wants to use their programming skills in a fast-paced environment, enjoys learning every day, and enjoys bouncing ideas off coworkers and collaborating on tough problems. This is a role where you will see your ideas tested and quickly proven in real-world settings, and where you will be on the forefront of cutting-edge technology in a nascent space. \n Responsibilities • Design state-of-the-art machine learning models for the electricity grid., • Research and implement ML algorithms and tools for generative time-series forecasting., • Extend existing ML libraries and frameworks., • Run tests and experiments to rapidly iterate and improve production models., • Monitor and maintain the quality of existing models., • Put creative approaches to the test with fast, revenue-impacting results. Requirements • Proven experience as a Machine Learning Engineer or similar role., • Understanding of data structures, data modeling and software architecture., • Deep knowledge of math, probability, statistics and algorithms., • Fluency in Python and machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, numpy, and pandas)., • Excellent skills in communication and teamwork., • Outstanding analytical and problem-solving skills., • BSc in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or similar field; MS or PhD is a plus. \n$160,000 - $205,000 a year\n FAQ What’s your policy on remote work? We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week. How does the interview process work? We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team. Join our team and make a difference! Click below or email us at .

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Your Career As a Senior Staff AI Engineer for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact Your Impact • AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications., • Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems., • System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications., • Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations., • Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers., • Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence., • Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions., • Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring., • Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs. Your Experience • 8+ years in software engineering, with 4+ years in AI/ML solutions or platform development., • Hands-on expertise in building and deploying enterprise-grade AI/ML systems., • Understanding of the AI lifecycle: data, training, evaluation, deployment, and monitoring., • Experience with distributed systems, streaming data, data lakes, and real-time decision engines., • Generative AI & LLMs: Experience with LLMs, multi-modal models, RAGs, and agentic AI systems., • Proficiency in AI/ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML)., • Strong programming skills (Python, Java, Go)., • Excellent communication skills., • Bachelor's or Master's degree in Computer Science or related field., • System-level thinking: Understanding and optimizing distributed AI architectures., • Master's degree in Computer Science, Machine Learning, or a related technical field., • Experience contributing to open-source AI projects., • Prior experience in a technical lead role for AI/ML projects. The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected /YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at ___. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe. Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you. Protegrity is looking for a Machine Learning Engineer (BS Required) Location: Menlo Park, CA (In-office, Mon–Thu) The global data privacy software market is projected to grow from $2.36 billion in 2022 to $25.85 billion by 2029. Join us on this journey and make an impact with one of the top 25 global software providers. We look forward to making our world become a better place with you on our team. About the Role: This role is ideal for BS/BA graduates in Computer Science with strong recommendations and demonstrated technical depth through projects or papers. You’ll contribute to GenAI development and learn from experienced engineers in a hands-on environment. Responsibilities: * Write clean Python code using agentic IDEs. * Assist in experiments and documentation. * Present findings and contribute to team discussions. * Support data processing and model fine-tuning. * Learn and apply ML algorithms to real datasets. * Engage in literature reviews and product brainstorming. Qualifications: * BS/BA in Computer Science. * Strong Python skills and technical project experience. * Familiarity with PyTorch, TensorFlow. * Understanding of ML fundamentals. * Interest in data security and GenAI. * Team-oriented and eager to learn. Why Choose Protegrity: * Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation. * Competitive Compensation/Total Reward Packages that include: * Health Benefits (Health/Dental/Vision) * Paid Time Off (PTO) * 401K * Annual Bonus Incentives * Short and Long Term Disability * Work on global projects with diverse, energetic, team members who respect each other and celebrate differences * Talent First Workforce Should you accept this position, you will be required to consent to and successfully complete a background investigation. This may include, subject to local laws, verification of extended education and additional criminal and civil checks. We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development. Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status. Please reference Section 12: Supplemental Notice for Job Applicants in our to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information.

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. The Role The CashApp Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Block operates. We work globally with partners in business, engineering, counsel and product to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform. We leverage Machine Learning as a necessary part of our toolkit to fulfill our mission. We employ scalable solutions to monitor billions of dollars in transactions. We uncover and put an end to money laundering, terrorist financing, and other illegal activities before they impact our users. We are looking for senior MLEs who want to solve critical business problems using all tools necessary. You Will • Design, develop, and deploy machine learning models to detect and prevent financial crimes such as money laundering, human exploitation, and terrorist financing, • Collaborate closely with stakeholders, business partners, and product engineering teams to ensure that data can be leveraged effectively to build efficient solutions within our regulatory program, • Produce and maintain thorough documentation of our program that can withstand regulatory scrutiny, • Proactively identify new opportunities and future needs of our ML teams, • Lead by example by applying ML and engineering best practices, • Stay current on ML developments in the field, foster an environment of continuous learning, and apply new learnings when applicable, • Have a significant impact on influencing team culture and direction You Have • 6+ years of machine learning experience with a focus on modeling and deployment, • A degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field, • Expertise in at least one area of the following areas: Natural Language Processing, Graph Neural Networks, Reinforcement Learning, or model explainability, • Prior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scale, • Excellent written and oral communication skills, both technical and non-technical, and are comfortable working with a cross-functional, globally distributed team, • Natural curiosity and desire to grow and help shape all aspects of our team Technologies We Use and Teach • Python (NumPy, Pandas, Scikit learn, PyTorch, etc.) with occasional Kotlin and Java, • Snowflake, GCP, AWS, and orchestration tools such as Prefect and Airflow, • Transformer models (BERT, LLMs, etc.) We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our ___. While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Your Career The DNS Security Research team is responsible for delivering high quality content to our products to prevent successful cyberattacks, with a special focus on DNS security, network security, privacy protection, etc. We design, build, and maintain various detection systems and data infrastructures to protect customers against constantly evolving threats and attacks. Your Impact • Track and research emerging threats and innovate new ways to identify malicious indicators used by malware and attacks, including domains, URLs, IP addresses, sha256, email addresses, etc.;, • Design and build scalable and extensible prevention/detection systems;, • Leverage data-driven approaches, such as statistical analysis, machine learning, and other advanced techniques;, • Convert research results and discoveries into products, research papers, etc. Your Experience • BS/MS in Computer Science or related fields with security research experience; PhD in Cyber Security or Machine Learning is a plus., • Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research;, • Expertise in DNS and DNS security;, • Good knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Logistic Regression, Deep Learning, and Boosting;, • Familiar with large-language models (LLMs) and experience to leverage them to address cybersecurity threats;, • Excellent programming skills in Python, Shell script, Go, or SQL;, • Understanding of core network protocols (TCP/IP, HTTP/HTTPS, etc.);, • Knowledge and experience with modern databases and big data tools, such as MySQL, MongoDB, Elasticsearch, Redis, BigQuery;, • Be comfortable working independently, efficiently;, • Excellent communication (written and verbal) and presentation skills;, • Experience with malware traffic analysis is a plus;, • Experience with graph database (e.g. Neo4j, Amazon Neptune), graph-based analysis is a plus;, • Experience with Google Cloud Platform is a plus;, • Proven success (past publication record, open source project contributions) is a big plus. The Team We are on a mission to build the industry's best Security large language model. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $136000 - $219000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at ___. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes

The Senior Engineer - Water Pipeline Infrastructure helps oversee and accomplish any day-to-day infrastructure engineering and asset management related functions for the Agency in close coordination with the Engineering Manager. Bachelor's degree from an accredited college or university in civil eng

About Kognitos: Kognitos is at the forefront of revolutionizing the trillion-dollar hyper-automation market. Our mission is to redefine how software is built and maintained by leveraging cutting-edge multi-agent automation platforms. We are pioneering advancements in agentic workflows, enabling machines to reason, plan, and execute tasks in a deterministic fashion. Our approach up-levels debugging to English, bypassing traditional programming languages that struggle to adap If you’re passionate about tackling some of the hardest problems in AI and contributing to transformational change in enterprise automation, join us at Kognitos to build the future of software. * Efficient Fine-Tuning: Develop innovative methods to optimize resource usage for training and fine-tuning models, ensuring high performance while maintaining efficiency. * Agentic Workflows: Advance workflows that allow AI to reason, plan, and execute tasks with reliability and determinism, minimizing errors and runtime surprises. * Multimodal Language Models: Work on multimodal use cases, combining text, images, and other data formats, to build adaptive, enterprise-ready automation tools. * Scalable AI for Enterprises: Address the needs of enterprises by creating AI solutions that can remove 30% of operational expenses through large-scale adoption. * Design, implement, and deploy machine learning models focused on agentic workflows and deterministic task execution. * Optimize AI systems for multimodal applications, addressing real-world enterprise challenges. * Innovate on fine-tuning techniques to maximize resource efficiency and improve model performance. * Ensure AI systems are aligned to regulatory policies and deliver consistent business value. * Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions. * Stay at the cutting edge of AI research, incorporating new advancements into Kognitos’ platform. * Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, or a related field. * Proven experience in developing and deploying machine learning models in production environments. * Expertise in fine-tuning techniques for large-scale models and optimizing resource usage. * Strong intuition working with LLMs * Familiarity with multimodal language models and their enterprise applications. * Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. * Excellent problem-solving skills and the ability to work in a fast-paced, dynamic * Experience with agentic workflows and multi-agent systems. * Knowledge of enterprise automation challenges and opportunities. * Prior work in AI for non-consumer use cases, especially in large-scale enterprise environments. * Familiarity with cloud platforms and distributed computing frameworks. * Be part of a cutting-edge company solving some of AI’s hardest problems. * Work on impactful projects in a trillion-dollar hyper-automation market. * Collaborate with a world-class team of engineers and researchers. * Contribute to transformational changes in how enterprises operate. You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Kognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale’s robotics offerings, and expand the frontier of Robotics data and model evaluation. You will: • Collaborate closely with Robotics customers to drive the industry forward in using VLA data, • Develop ML pipelines to train/fine-tune models using Scale’s data, • Conduct research on robotics data collection, cross-embodiment training, and policy fine-tuning, • Develop novel methods for evaluating VLA models, including new robotics industry benchmarks, • Partner with cross-functional stakeholders and Scale’s customers to improve data collection, • Collaborate with product teams to bring ML outcomes to Scale’s platform You have: • Practical experience building training VLA models and/or building robotics data, • 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models, • PhD or equivalent experience in Machine Learning or Robotics, • A track record of published research in robotics, • Experience conducting data collection and performing evaluations, • Strong written and verbal communication skills and the ability to work with cross-functional teams and customers, • Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy Nice to haves: • Experience working with robotics hardware platforms (robotic arms, perception systems, etc.), • Experience deploying machine learning models on robotic systems in the field, • Experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $208,000 - $260,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.

Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology. With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products. Sentry embraces a hybrid work model, with Mondays, Tuesdays, and Thursdays set as in-office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools. As a Staff Machine Learning Engineer on Sentry’s AI/ML team, you’ll be directly responsible for developing the models and agents used to make our product smarter and more capable. This role is crucial; you will be at the forefront of integrating AI and machine learning into our core products, from issue triage and resolution to predictive analytics for application performance monitoring. Your work will help companies around the globe gain actionable insights into their software, enabling them to build better products, faster. * Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues * Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles * Own the development of major initiatives in the AI/ML space * Are driven by impact and enjoy working on high-stakes, high-visibility projects * Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members * Thrive in cross-functional teams and enjoy building features alongside developers and product teams * Minimum 4+ years of professional experience with a MS/PhD degree in computer science, machine learning, or a related field * Minimum 6+ years of professional experience with Bachelor’s degree in computer science, machine learning, or a related field * Demonstrated expertise building production-grade agentic systems and tools * You are comfortable writing production quality code (we use Python) * Expertise with deep learning frameworks (we use PyTorch) * Familiarity in deploying machine learning models at scale in production environments * Experience in writing technical documentation, mentoring, and presenting to technical audiences * Proven track record of owning a system, feature, or component, leading or collaborating with multiple engineers and teams The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $210,000 to $280,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See ___ for more details about the Company’s benefit plans/programs. Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at ___. Want to learn more about how Sentry handles applicant data? Get the details in our ___.

At ___, we’re transforming the insurance back office with AI. Our platform, which reinvents expensive and time-consuming accounting processes, is the first step in our vision to unlock the hundreds of billions of dollars spent on manual insurance operations. Our ___, announced in early 2025, led by BOND & Workday, comes on the heels of record growth and accelerating expansion plans. * Record-setting growth, having gone from zero to 8-figure ARR within three years of founding, representing 95th+ percentile company growth among startups that achieve these milestones * Strong product market fit revealed in growth and through customer love, with users describing the platform as “the best thing since sliced bread” and "life-changing" * Our lean, talented team is creating category-defining products for large public and private enterprises, driving 7-figure ROI and cash-flow positive operations, providing the best of both worlds: outsized employee ownership and low company risk * We're continuing to take big, ambitious first-to-market bets for a highly committed customer base and an exciting pipeline of new customers * We’re in the early innings of our vision and poised to take advantage of the massive opportunity to deploy AI into core workflows throughout the insurance industry Insurance is buried in unstructured data across documents, emails, and disparate systems. LLMs have turned this into an opportunity. We’re hiring an AI Engineer to seize it by building game-changing products. * 4+ years of experience in software engineering or data science / engineering * Deep understanding of LLM best practices across evals, RAG, fine-tuning, and observability * Familiarity with AI frameworks (e.g. LangChain, LlamaIndex, or similar) * Experience releasing and maintaining production systems * Proficiency with SQL and relational databases * Comfortable with handling ambiguity and working in a self-directed manner * Curiosity about different industries and the data + business context within them * Copilot agent to augment + automate natural language-based workflows * System to extract structured data from millions of complex, varied documents (see our early work on this ___) * Leveraging the latest advancements in browser agents to generically automate repetitive tasks for users For more details, see ___ encapsulating the role of an AI engineer. We’re backed by ___, ___, ___, and ___, as well as founders/executives from Brex, Asana, Plaid, Applied Intuition, Coalition, and more. Our team hails from companies like Airbnb, Google, Brex, and LiveRamp and we’re fairly low-profile: focusing the majority of our energy on delivering for customers and building a category-defining company. We’re hiring predominantly in San Francisco 🌁, as we believe in-person collaboration is strategically important for a company at our stage — both for velocity and company culture. * Competitive base salary and generous equity * Generous medical, dental, and vision benefits * 401K plan enrollment * Flexible time-off policy * Lunch & dinner every day * Paid parental leave * Company outings and offsites * (and more benefits as we grow!) Comulate is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Team & Role Overview: The Responsible AI team at LinkedIn serves as the centralized hub of excellence for AI and Data Science, spearheading the technical and organizational strategy to ensure trust, compliance, and safety for all LinkedIn members and clients. We ensure LinkedIn’s AI solutions are aligned with principles of Fairness, Inclusion, Transparency, and now, advanced post-training LLM alignment work. Our work involves fine-tuning and aligning large language models with LinkedIn’s core principles, focusing on critical areas such as privacy, fairness, explainability, safety, hallucination reduction, and robustness. This team drives applied research and the development of scalable, industry-leading solutions across LinkedIn's AI platforms, models, and products. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA Responsibilities: * Conduct independent, hands-on research into the state-of-the-art in differential privacy, secure computation, and privacy-preserving machine learning. * Evaluate, adapt, and implement advanced algorithmic approaches to optimize for data utility and privacy guarantees in production environments. * Establish and manage rigorous evaluation frameworks to quantify the fidelity, utility, and privacy guarantees of generated and anonymized data. * Partner with cross-functional teams of data scientists, software engineers, product managers, and governance specialists to ensure the seamless integration and adoption of new privacy capabilities across the enterprise. * Develop privacy-first training algorithms and techniques * Develop evaluation and auditing techniques to measure the privacy of training algorithms * Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at enterprise scale. * Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees. * Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams. * Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions. * Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring. * Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling. * Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence. Basic Qualifications: * 2+ years as a Technical Lead, Staff Engineer, Principal Engineer, or equivalent. * 5+ years of overall industry and research experience in AI or Machine Learning Engineering. * BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience Preferred Qualifications: * 10+ years of overall industry and research experience. * PhD in Privacy, Security, & Trust or a related discipline. * Extensive experience with Differential Privacy, Federated Learning, AI Modeling, and other related solutions. * Demonstrated experience effectively collaborating with various teams across the organization including Engineering, Product, Legal/Compliance, etc. Suggested Skills: * Differential Privacy * AI Privacy * AI Modeling You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: . Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at ___ and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: • Documents in alternate formats or read aloud to you, • Having interviews in an accessible location, • Being accompanied by a service dog LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: . Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: .

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: The Principal Machine Learning Engineer will lead the design, development, and deployment of cutting-edge ML systems at scale. In this role, you'll serve as a technical leader, collaborating with cross-functional teams to define the long-term ML strategy, mentor engineers, and build innovative solutions that drive real business impact. Job Description: Key Responsibilities • Lead end-to-end ML initiatives from research and prototyping to deployment and monitoring in production., • Collaborate with Product, Data, and Engineering teams to identify opportunities for ML-driven solutions., • Architect scalable and robust ML infrastructure and pipelines., • Evaluate and implement state-of-the-art algorithms in areas such as NLP, computer vision, recommendation systems, or time series forecasting., • Drive best practices in data preprocessing, feature engineering, model training, and experimentation., • Mentor and guide other ML engineers and data scientists., • Establish technical standards, conduct code and design reviews., • Communicate technical concepts and ML insights to stakeholders at all levels. Qualifications Required Skills & Qualifications • 8+ years of experience in Machine Learning, Data Science, or related fields., • Strong programming skills in Python and deep experience with ML libraries., • Proven track record of building and deploying ML models in production environments., • Expertise in model evaluation, A/B testing, and performance optimization., • Experience with cloud platforms (AWS, GCP, Azure) and ML Ops tools., • Deep understanding of statistical modeling, optimization, and algorithm design., • Excellent communication and leadership skills. Preferred Qualifications • PhD or Master’s degree in Computer Science, Machine Learning, or related technical field., • Experience with large-scale distributed systems and big data frameworks (e.g., Spark, Hadoop)., • Prior experience leading high-impact ML initiatives or teams. Subsidiary: PayPal Travel Percent: 0 PayPal is committed to fair and equitable compensation practices. Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit ___. The U.S. national annual pay range for this role is $120300 to $287100 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ___. Who We Are: ___ to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ___. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please ___. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

About the team Mind Company's mission is to build non-invasive neural interfaces - that is, enabling a communication layer between humans and other humans or computers, directly using thoughts. In pursuit of this mission, our Research Team is responsible for building and training appropriate machine learning models capable of translating brain data into useful forms, such as text. About the role As our Lead Machine Learning Engineer, you will be directly responsible for all our machine learning efforts, the core of our business. You’ll be figuring out how to most accurately and efficiently translate brain wave data to useful forms. You’ll work with researchers, hardware engineers, and the CEO/CTO. This role is based in San Francisco, CA. We're an in-person company who deeply believe that great products are not built working from home. In this role, you'll: * Work across our ML stack, and occasionally work on general software efforts as well * Build, train and deploy our ML translation models which convert brain waves into more useful forms * Learn about the brain, and understand how optimizing hardware can lead to model accuracy improvements * Grow and manage the Research Team, and its direction We're looking for candidates with the following traits: * 2+ years experience building, training and deploying ML models * Curious about the brain, and passionate about unlocking human-computer interaction * Strong leadership skills and self-starter, able to carry a project from beginning to end About Mind Company Mind Company is 6-person neuro-tech startup with the mission of building noninvasive neural interfaces. We build our own hardware systems which measure brain data, collect proprietary training datasets, and train useful ML models. If we succeed, humans will be communicating at higher information rates, playing video games with their mind, and never using slow keyboards again. All without requiring surgery. Join us in making this vision a reality.

We’re partnering with a frontier AI startup that’s redefining how models learn to understand subjective quality — from writing tone and design aesthetics to emotional resonance and creative expression. They’re collaborating with leading AI labs and building new methods that help models reason about creativity, taste, and quality. The founding team is small, highly technical, and deeply curious. Building at the intersection of research, product, and creativity. As a Machine Learning Research Engineer, you’ll own end-to-end research cycles — designing, running, and analyzing post-training experiments that help models evaluate style and subjective quality. You’ll collaborate directly with AI labs and creative experts, and have the opportunity to publish your work. • 2–6+ years of professional experience in machine learning research, post-training, or ML engineering, • Strong skills in Python and PyTorch, with hands-on experience training and fine-tuning models, • Deep familiarity with LLMs, multimodal models (text–image/video), and post-training techniques such as RLHF or DPO, • Proven ability to run experiments end-to-end — from dataset design and model training to evaluation and iteration, • Experience developing or using evaluation benchmarks for generative or subjective tasks, • Comfort collaborating in a fast-moving, early-stage environment with limited infrastructure, • Clear, thoughtful communication — you can explain research outcomes to both technical and non-technical collaborators, • A collaborative, low-ego mindset and genuine excitement about building something new, • Interest in subjective or creative domains (e.g. writing, design, visual aesthetics) Bonus points for: • Experience working with or at data vendors (Scale, Labelbox, Snorkel, etc.), • Prior work with alignment, preference modeling, or reinforcement learning, • A record of publications, blog posts, or open-source contributions in the ML community, • Meaningful equity — real ownership in an early-stage, high-impact company, • Competitive compensation ($200K–$350K base), • In-person, collaborative culture. Work alongside a small, highly talented team in Jackson Square, San Francisco, • Creative research freedom. Autonomy to design, publish, and share your work across open channels, • Partnerships with leading AI labs. Direct exposure to cutting-edge research and experiments, • Growth potential. Shape foundational systems at an early stage and scale with the company, • Support for learning and inspiration. Funding for courses, conferences, or creative exploration related to your work, • Low-ego, non-toxic environment. A team culture built on curiosity, collaboration, and mutual respect

About Checkr Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr’s innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on ___ and is a Y Combinator 2024 ___. About the role: As a Senior Site Reliability Engineer on the Platform team, you will identify issues and technical challenges across the engineering teams and platforms, develop innovative solutions to resolve them, and drive their adoption. You will strive towards the right balance between enforcing standardization and accommodating tailored workflows. The person in this role will have the opportunity to demonstrate a degree of autonomy in their work and help with complex support requests, while having an impact across engineering. Who You Are: • You have a strong sense of ownership with a proactive nature, • You are motivated by sharing knowledge and excited by what can be done when a group of people is aligned in their vision, • You possess a great desire to collaborate, improve, and innovate, • You are passionate about observability at scale and finding solutions to issues What You’ll Do: • Collaborate, drive, and execute architectural discussions with cross-functional teams, • Lead cross-team projects and SREs' technical roadmap to enable engineering and help Checkr customers, • Design, build, ship, and maintain the core observability libraries, tools, and patterns used by all of Checkr’s engineering teams, • Proactively engage across teams to foster service reliability, efficiency, and scalability, • Troubleshoot complex production issues across the stack, with respect to performance, availability, and data quality, • Present detailed technical information and benefits of the Checkr platform to a wide array of customers, including operations, developers, technical architects, and executives What You Bring: • Degree in Computer Science (or related field), • 6+ years of experience in building tools with Python (preferred), GoLang, or Ruby, • 6+ years of experience in maintaining and observing production customer-facing environments in AWS or Azure, • 6+ years of experience as a member of an incident response team, • Deep understanding of the fundamental infrastructure and platform concepts behind a micro-service architecture, REST APIs, and asynchronous queueing models, • Experience with observability platforms and frameworks like Datadog, Splunk, Grafana, Prometheus, or OpenTelemetry, • Strong collaboration, documentation, communication, and project management skills, • Experience with container orchestration using Kubernetes/Docker/Terraform, • Experience driving platform adoption across engineering teams, guided by a self-service and product-first approach, • A passion for customer-centricity and building relationships with other teams, • Unwavering commitment to operational security and best practices What you’ll get • A fast-paced and collaborative environment, • Learning and development allowance, • Competitive cash and equity compensation and opportunity for advancement, • 100% medical, dental, and vision coverage, • Up to $25K reimbursement for fertility, adoption, and parental planning services, • Flexible PTO policy, • Monthly wellness stipend, home office stipend At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages. One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see ___. The base salary range for this role is $162,000 to $191,000 in San Francisco, CA. The base salary range for this role is $138,000 to $162,000 in Denver, CO. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the ___. #LI-TD1

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. The Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling ML practitioners like you to develop multi-modal models and techniques at scale. Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities. In this hybrid role, you will report to the Director of Engineering. You will: • Provide technical leadership on the efficacy and efficiency of the core hardware abstraction layer and sensor integration., • Collaborate closely with hardware and Perception teams to design, set the roadmap, and implement the foundational system that underpins Perception ML software stack., • Work on and design end-to-end data flow and processing pipelines from sensors to the perception outputs, ensuring high performance and reliability., • Solve large-scale data challenges related to sensor integration, calibration, and data consistency across diverse hardware configurations., • Drive and accelerate collaborations between Perception, hardware teams at Waymo, and other Alphabet collaborators. You have: • Master’s degree or PhD in Computer Science, Engineering, or a related technical field, • 8+ years of experience in ML related software development, • 6+ years of experience in production systems involving sensor integration, data processing, or real-time perception., • 4+ years of experience in a technical leadership role leading technical teams and setting technical directions, • 3+ years of experience with hardware-software interaction, sensor integration, or general robotics systems., • Passion to drive engineering excellence and efficient model development through flywheel automation, while having direct technical experience in model quality development to achieve business goals We prefer: • Experience in robotics, autonomous systems, or related automotive industries., • Experience with various sensor modalities (e.g., LiDAR, radar, cameras) and their unique challenges., • Experience in model techniques and infrastructure, • Familiarity with vision-based models and their development challenges The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$281,000—$356,000 USD

About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you’ll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). Job Description and Responsibilities: We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You’ll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces. Required Qualifications: • Evidence in delivering high-impact projects either in academia or industry, • Prior experience designing and building Machine Learning models, • Deep understanding of machine learning concepts and fundamentals, • Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders, • Excellent communication and collaboration skills, • Strong coding skills, with a focus on clean, efficient, and scalable code development Preferred Qualifications: • Experience working with time series or unstructured data Expected Compensation: The anticipated hourly rate for this position is listed below. California Hourly Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Excellent medical, dental, and vision insurance through a PPO plan, • Paid holidays, • Commuter benefits, • Meals provided, • Equity + 401(k) plan *Temporary Employees & Interns excluded, • Parental leave *Temporary Employees & Interns excluded, • Flexible time off *Temporary Employees & Interns excluded

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception Scene Semantics team is responsible for developing the state-of-the-art ML models for scene understanding around construction, emergency scenes, mapless driving and world changes. The team works on the end to end ML pipeline from data mining, labeling, training onboard / offboard models, and deployment. The team supports multiple top company priority areas that ensures safety, compliance, and scalability of Waymo’s service. In this hybrid role, you will report to the Technical Lead Manager of Scene Semantics. You will: • Develop state-of-the-art ML models to understand complex scenes, including construction zones, emergency situations, mapless driving, and world changes., • Work on the end-to-end ML pipeline, from data mining and labeling to training and deployment of models. You have: • 4+ years of experience in Machine Learning, with a strong focus on computer vision and/or deep learning for perception tasks., • Deep understanding of state-of-the-art ML techniques for object classification, detection, tracking, pose estimation, and/or action recognition., • Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX). We prefer: • PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience., • Experience with multi-modal perception systems (e.g., combining camera, lidar, radar data)., • Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation)., • Experience in optimizing ML models for on-device deployment and real-time performance., • Background in autonomous driving, robotics, or a related safety-critical domain., • Publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). #LI-Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000—$259,000 USD

About Us: Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our comprehensive audience engagement platform includes creative strategy and execution. With over 14 years in the industry, we handle 5 million mobile ad requests per second from over 10B devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC. Role Overview We are seeking a motivated and detail-oriented Applied Scientist to join our team. As an Applied Scientist, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with senior research scientists and other team members to drive impactful data science projects and contribute to innovative solutions. This is an on-site role, 5 days a week, based in our South Beach office in San Francisco, California. Join us in pushing the boundaries of AI and mobile advertising in a collaborative environment that fosters creativity and growth. We offer a competitive salary, comprehensive benefits, and significant opportunities for career advancement. Role & Responsibilities • Develop and deploy machine learning models at scale to address key challenges in programmatic advertising, such as user response prediction, bid landscape forecasting, and fraud detection., • Conduct exploratory data analysis and apply statistical techniques to extract insights and support decision-making., • Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation., • Work closely with senior data scientists and cross-functional teams including product, engineering, and business units to integrate models into production systems and applications., • Assist in the development and implementation of best practices for model deployment, monitoring, and performance assessment., • Stay updated on recent developments in machine learning and data science, and apply relevant techniques to solve complex problems and enhance our platform., • Minimum of five (5) years in data science with practical experience in machine learning, statistical analysis, and data modeling., • Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. PLUS if master's degree is a plus in Mathematics, Physics, Computer Science, or a related technical field., • Preferred experience with additional programming languages (e.g., Rust, C++, Java, Scala) and large-scale data processing systems., • Familiarity with RTB, auction theory, and high-throughput low-latency environments is a plus., • Proficiency in machine learning techniques such as regression, classification, and clustering. Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch., • Proficiency in Python and SQL. Familiarity with Spark. Experience with libraries such as TensorFlow/PyTorch, Scikit-Learn, • Strong understanding of probability, statistics, and data analysis., • Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.

David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. To unlock the full potential of AI, models need more—and better—audio data. That’s where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $25M Series A from Tier 1 investors like Jack Altman (Alt Capital), Amplify Partners, First Round Capital, Y Combinator, and more. Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product and operations minds to join us on our mission to revolutionize audio AI. As an Applied ML Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do. You will: * Research, design, and implement solutions using advanced signal processing algorithms and bleeding edge ML models with application to speech and audio. * Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers. * Collaborate with our Operations team to gather useful training and evaluation datasets to improve the quality of our models. * Architect the systems that enable resilient, durable inference and evaluations. * Have full autonomy to drive the ML roadmap, influence technical direction, and lead research and infrastructure investments. * 5+ years of professional ML experience including DSP/ML audio algorithm development. * Demonstrated experience owning ML pipelines end-to-end, from POC to production. * Ability to translate research ideas or papers into high-quality Python code. * Proficiency in Python and common Deep Learning frameworks like PyTorch. * Ability to think broadly and cross-functionally about model quality in the context of user experience and the business value. * Experience working with cloud technologies (eg. AWS or GCP) and developing machine learning models in a cloud environment. * PhD or Masters in Computer Science or a related field. * Experience training generative AI models. * Expertise in audio signal processing, both classical and machine learning techniques. * Led ML teams, setting direction and driving development cadence. * Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry. * Competitive salary and equity package. * Flexible PTO policy. * Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans. * Paid lunch and dinner in the office, every day through DoorDash. * 401k access.

Zoox is looking for a platform/site reliability engineer who will be responsible for measuring and maintaining the uptime of the many services critical to the development process for autonomous vehicles. Collaborate with software engineering teams to improve deployment processes and automation.

At Pulley, we are on a mission to help construction teams break ground faster. The United States is ___ while housing production and affordability remain near historic lows. Meanwhile, retail and office real estate ___ and the AI boom has led to ___. Permitting requirements vary vastly by jurisdiction, making it challenging to navigate for home builders, retailers, architects and contractors. It creates a critical bottleneck that every project must traverse. While the industry remains largely fragmented and underserved, we believe that combining cutting-edge software with permitting expertise can condense permitting timelines from months to days or even hours! We are a passionate team building software for the built environment around us. Founded by ___ and ___ in 2021, our team combines deep experience in real estate and construction with a track record of shipping software loved by millions of customers. We’re backed by ___, ___, ___, ___, ___, ___, ___ and leaders from ___, ___, ___, ___, ___, ___, and ___. We’re building the world’s first software platform for construction permitting — for any project, in any city. Our north star is speed; everything we do is in the service of helping our customers get their permits as fast as possible. We serve some of the top developers, builders, retailers and architects in the industry to permit new apartment buildings, office space, homes, stores and much more! We are hiring an experienced AI engineer to join the Pulley team and help us accelerate and differentiate our product offering. As an early AI engineer at Pulley, you will get to: * Help construction teams break ground faster * Develop and deploy AI-driven features dealing with unstructured permitting documents, city regulations, etc * Shape the AI strategy and help build the foundation for AI/ML at Pulley * Contribute to system architecture, ensuring AI models are integrated seamlessly into our tech stack (React, Tailwind, TypeScript, Vercel, and Google Cloud) * Collaborate cross-functionally with product, design, and engineering teams to deliver AI-enhanced experiences that feel intuitive and reliable We are looking for someone who: * Has 5+ years of ML/AI experience at a technology company * Has experience working with large language models, fine tuning and retrieval-augmented generation * Is familiar with and comfortable setting up AI and data infra from scratch such as vector databases, LangChain and Docker * Is based in the San Francisco Bay Area, willing to work in-person 4 days a week. * Thrives in ambiguity and defines the right problems to solve * Can translate complex customer needs into extensible, scalable product solutions * Enjoys collaborating with engineers and designers to meticulously craft great experiences * Architects durable systems while making reasonable tradeoffs

About the Team The Sora team is working on making video a key capability of OpenAI’s foundation models. We are a hybrid research and product team that seeks to understand and expand the capabilities of our video models, while ensuring their reliability and safety. We accomplish this both through directly studying and experimenting with the models, as well as deploying them into the real-world to distribute their benefits widely. About the Role As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework and enable researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: * Collaborate with researchers to enable them to develop systems-efficient video models and architectures * Apply the latest techniques to our internal training framework to achieve impressive hardware efficiency for our training runs * Profile and optimize our training framework You might thrive in this role if you: * Have experience working with multi-modal ML pipelines * Love diving deep into systems implementations and understanding their fundamentals in order to improve their performance and maintainability * Have strong software engineering skills and are proficient in Python. * Have experience understanding and optimizing training kernels * Are passionate about understanding stable training dynamics About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this ___. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the team You will work on the team that is responsible for the backend services that power grok.com and our API. Our team is currently based primarily in London with a small but growing number of engineers located in Palo Alto. We focus on writing highly scalable and reliable services that can efficiently process tens of thousands of queries per second. The services are hosted on a number of Kubernetes clusters (on-prem & cloud). About the role An ideal candidate meets at least the following requirements: • Expert knowledge of Kubernetes,, • Expert knowledge of continuous deployment systems such as Buildkite and ArgoCD,, • Expert knowledge of monitoring technologies such as Prometheus, Grafana, and PagerDuty,, • Expert knowledge of infrastructure as code technologies such as Pulumi or Terraform. We hire engineers in London and in Palo Alto. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates joining the London team must be willing to attend late meetings at least once a week to coordinate with the rest of our team. After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews. All interviews will be conducted via Google Meet. • Competitive cash-based compensation, • xAI equity, • Private health and dental insurance Annual Salary Range $180,000 - $440,000 USD xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For Los Angeles County (unincorporated) Candidates: xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: • Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;, • Interacting with internal and/or external clients and colleagues; and, • Exercising sound judgment.

About Bland At ___, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role As a Senior ML Engineer at Bland, you'll own the intelligence behind our voice AI platform. You're not just optimizing models—you're architecting the ML systems that make our agents sound genuinely human and drive real business outcomes for enterprise customers. Your work directly impacts whether our agents can handle complex, nuanced conversations or sound like corporate robots. What You'll Do * Own the full ML stack: Lead engineering and optimization efforts for our self-hosted STT, LLM, and TTS systems from research through production deployment. * Build production-grade inference systems: Design and implement high-throughput ML infrastructure serving millions of daily voice interactions with sub-second latency requirements. * Drive model performance: Research and implement novel approaches to improve our models' conversational quality, RAG pipelines, and reduce latency, * Optimize for enterprise scale: Handle complex inference optimization challenges—model quantization, efficient serving architectures, and cost optimization for large-scale deployments. * Collaborate across teams: Work closely with Deployment Engineers to understand customer requirements and translate business needs into ML solutions that actually work in production. * Push the boundaries: Experiment with cutting-edge techniques in conversational AI, real-time speech processing, and multi-modal understanding to keep Bland at the forefront of voice AI. What Makes You a Great Fit * Deep ML expertise: 3+ years in machine learning with 1+ years focused on speech, or conversational AI. You've shipped ML systems that real users depend on. * Experience with TTS/STT systems: You get your hands dirty with any new emerging technologies in this space, and are implementing novel solutions. * Specialist: You don’t have to have experience with the entire STT, LLM, TTS stack. We want someone who can narrow down on a specific problem and understand it in and out. * Production experience: You've built and scaled ML infrastructure from 0-1 and 1-100. You know the difference between a research prototype and a system that works at enterprise scale. * Full-stack mindset: Comfortable working across the entire ML pipeline—data, training, inference, monitoring, and everything in between. * Startup DNA: You've thrived in fast-moving environments where you own outcomes, not just tasks. You're comfortable with ambiguity and excited by the challenge of figuring things out. Bonus Points If You Have * Experience with real-time speech processing, TTS/ STT, or telephony systems * Background in large-scale distributed training and inference * Experience with conversational AI, chatbots, or voice assistants * PhD in ML/AI or equivalent research experience How You Show Up * Ownership mindset: You take full responsibility for your systems' performance and never wait for someone else to solve problems you can tackle. * Quality obsessed: You care deeply about the craft—our agents should sound truly human, not like phone trees. * Data-driven: You measure everything, run rigorous experiments, and let results guide decisions. * Collaborative: You work seamlessly with engineers, deployment teams, and customers to deliver solutions that actually work. * Relentless: You push through ambiguous challenges and complex technical problems until you find solutions. Benefits and Pay: * Healthcare, dental, vision, all the good stuff * Meaningful equity in a fast-growing company * Every tool you need to succeed * Beautiful office in Jackson Square, SF with rooftop views If you don't have the perfect experience that is fine! We're a bunch of drop-outs and hackers. Working at a start-up is really hard. We work a lot and we figure things out on the fly. Please note, however, for this position machine learning experience at an United States based company is required. Compensation Range: $140,000-$250,000

About the role As a DevOps Engineer at AiB, you'll be instrumental in developing and maintaining the infrastructure that underpins our innovative projects. Your role will involve a blend of technical prowess and strategic thinking, ensuring our development and operational environments are optimized for performance, reliability, and scalability. You will be joining a team that highly values building experience, especially if you've transitioned from a developer role into DevOps or SRE. Your ability to drive innovation and build robust systems will be a valuable asset in this role. As a DevOps engineer with our team, you will be using Ansible, Docker and Hashicorp Nomad. Responsibilities * Develop, implement and manage automation solutions that support the projects in continuous delivery. * Establish and optimize CI/CD pipelines using GitHub Actions and other relevant tools to automate deployment. * Set up monitoring and logging solutions using Prometheus, OpenTelemetry, Grafana and other tools that ensure the health and performance of AIB resources. * Identify and address performance bottlenecks by implementing stress testing tools and applying best practices * Create and maintain technical documentation relating to AIB node deployment processes and upkeep * Develop and maintain tools and practices to help troubleshoot and diagnose application, system and network problems. Basic Requirements * Brings Golang and Scripting Expertise: You have solid experience with Go (minimum 1 year) and are skilled in shell scripting, enabling you to tackle a wide range of development tasks efficiently. * Is Active in the Open Source Community: Your involvement goes beyond personal projects; you actively contribute to open-source projects, demonstrating your commitment to collaborative development. * Automation Skills: A penchant for automating processes, preferably with tools you've written in Go. * Excels in Team Collaboration and Independence: You are a genuine team player who thrives in collaborative environments but also possesses the autonomy and patience required for solving complex problems and debugging. * Manages Multitasking with Simplicity: You can handle multiple projects with ease, always preferring straightforward and effective solutions over the latest trends. * Demonstrates Ownership and Strategic Prioritization: You're known for taking full ownership of your work, capable of independently driving projects forward while effectively prioritizing tasks and advocating for process improvements. * You are based in the US and can work cross-functionally with teams in Europe and the US simultaneously. * IaC and Orchestration: Containers, Automation, and configuration management are in your DNA, and you have extensive experience with tooling to achieve this. Nive-to-haves: * Builder's Mindset: You have a strong ambition to build and innovate, possibly evidenced by your involvement in hackathons or your track record as a hackathon winner or participant. * Educational Foundation: A relevant Bachelor's degree in fields like Computer Science or Engineering. * Diverse Technical Background: Experience in engineering, security, or complex systems. * Tech Enthusiasm: Passion for emerging tech, including open source, blockchain, and web3. * Blockchain Proficiency: Familiarity with running blockchain chains or nodes like Tendermint/Cometbf. * Data-driven: Comfort with KPIs and dashboards for decision-making. * Monitoring and Deployment Knowledge: Familiarity with tools like Grafana, Prometheus, and Netlify. * Community Involvement: Interest in conferences and community engagement. * IaC and Orchestration: Familiarity with tools such as Ansible, Docker and Hashicorp Nomad

Join Powerline and Shape the Future of the Electricity Grid! Powerline is a fast-growing, VC-backed climate-tech company based in Silicon Valley, dedicated to transforming the electricity grid with cutting-edge AI and machine learning. Our technology optimizes renewable energy and battery storage projects, enabling project owners to maximize profitability and operational efficiency while driving grid decarbonization. We collaborate with industry leaders in the world's most complex and lucrative electricity markets, solving high-impact challenges that accelerate the clean energy transition. About The Role As an AI/ML Engineer at Powerline, you will be instrumental in developing, optimizing, and scaling AI solutions that enhance renewable energy asset performance. You will collaborate closely with a highly skilled engineering team to design and implement AI algorithms across diverse domains, from forecasting to generative AI, deploying them in real-world, high-value energy projects. This is a rare opportunity to join early and make a foundational impact at a rapidly scaling climate-tech company solving critical challenges in a booming industry. Key Responsibilities * Research, design, develop, and analyze AI/ML algorithms for a variety of diverse problems related to the company’s business. * Develop scalable AI solutions, collaborate with cross-functional teams to ensure seamless integration of the AI solutions with the rest of the tech stack. * Lead efforts in improving model performance, continuous analysis and understanding of the results, and addressing performance issues. * Stay informed on the latest trends in AI, renewable energy, and energy markets to implement innovative solutions. Requirements * 5+ years of experience in building AI/ML models with a proven track record of delivering business value. * 2+ years of technical leadership experience in AI/ML. * Proficiency in Python, and AI/ML packages (e.g., Pytorch, Jax, TensorFlow). * Experienced in AI/ML algorithms for sequential data (timeseries and/or text) modeling, analysis, and prediction. * Familiarity with MLOps and building AI/ML systems end to end. * Strong communication skills and ability to collaborate with diverse teams, including software engineers, optimization engineers, and energy market experts in a distributed working environment. Strong Plus * Experience in energy markets, renewable energy technologies, or energy storage systems. * Experience with NLP, LLMs, and agentic systems. * Experience with physically informed neural networks, physical loss functions, or digital twin. * Experience with timeseries forecasting, especially in energy markets. * Experience working in the startup environment.

As a Software Engineer on the ML Infrastructure team, you will design and build the next generation of foundational systems that power all ML Infrastructure compute at Scale - from model training and evaluation to large-scale inference and experimentation. Our platform is responsible for orchestrating workloads across heterogeneous compute environments (GPU, CPU, on-prem, and cloud), optimizing for reliability, cost efficiency, and developer velocity. The ideal candidate has a strong background in distributed systems, scheduling, and platform architecture, and is excited by the challenge of building internal infrastructure used across all ML teams. • Design and maintain fault-tolerant, cost-efficient systems that manage compute allocation, scheduling, and autoscaling across clusters and clouds., • Build common abstractions and APIs that unify job submission, telemetry, and observability across serving and training workloads., • Develop systems for usage metering, cost attribution, and quota management, enabling transparency and control over compute budgets., • Improve reliability and efficiency of large-scale GPU workloads through better scheduling, bin-packing, preemption, and resource sharing., • Partner with ML engineers and API teams to identify bottlenecks and define long-term architectural standards., • Lead projects end-to-end — from requirements gathering and design to rollout and monitoring — in a cross-functional environment., • 4+ years of experience building large-scale backend or distributed systems., • Strong programming skills in Python, Go, or Rust, and familiarity with modern cloud-native architecture., • Experience with containers and orchestration tools (Kubernetes, Docker) and Infrastructure as Code (Terraform)., • Familiarity with schedulers or workload management systems (e.g., Kubernetes controllers, Slurm, Ray, internal job queues)., • Understanding of observability and reliability practices (metrics, tracing, alerting, SLOs)., • A track record of improving system efficiency, reliability, or developer velocity in production environments., • Experience with multi-tenant compute platforms or internal PaaS., • Knowledge of GPU scheduling, cost modeling, or hybrid cloud orchestration., • Familiarity with LLM or ML training workloads, though deep ML expertise is not required. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $179,400 - $310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.

Senior Site Reliability Engineer 100% remote in the continental US USC Only Our client, a premier national healthcare provider, is currently looking for a Senior Site Reliability Engineer on their Cloud Infrastructure team. You will be helping a Kubernetes Architect to work with software engineering teams to help onboard their application(s) into Kubernetes Clusters (AKS) in the Azure Cloud. The ideal candidate will have strong experience in deploying AKS clusters in the Azure cloud, 5+ years at least. You will also need to have significant experience with Infrastructure as Code (IaC). Job Responsibilities: • Stay up-to-date with emerging technologies, frameworks, and industry trends related to payment systems and cloud computing., • Design and implement microservices-based architecture using domain-driven design principles., • Utilize Kubernetes for container orchestration and management, ensuring scalability, reliability, and high availability of the payment system., • Implement robust monitoring, logging, and alerting mechanisms to ensure system performance and availability ., • Develop highly resilient and highly available components for the payment system, • Conduct technology evaluations and provide recommendations for new tools, technologies, and frameworks that can enhance our payment infrastructure., • Strong Kubernetes(K8S) experience required, • 5+ years of experience in rearchitecting large-scale monolithic applications to cloud-native architectures ., • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, • 3+ years of experience with cloud computing platforms with Azure including experience with serverless architectures, containers, and orchestration, • experience with payment industry standards, protocols, and security best practices, • knowledge of load balancing algorithms (will be asked in interview), • must have worked in an Azure environment, working heavily with Kubernetes (AKS), • must know security best practices for containers and clusters, • must know terraform well, • strong experience with Infrastructure as Code

About Us Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. About This Role This role offers a unique opportunity to be part of the founding team at ChipStack, where we are reinventing how modern silicon chips are designed. You will work alongside highly experienced chip designers who have built complex chips, ML scientists who have trained LLMs at scale, and top-notch infrastructure and software engineers. You will get to leverage your experience building ML and data infrastructure and apply it to some of the hardest problems in chip design. About You You want to be at a startup because you love to be at the center of all the dynamism that a startup offers. You are willing to put in the hours and go the extra mile to ensure every customer has an exceptional experience. You are self-motivated with a sense of urgency and can operate independently without much guidance. You are not afraid of difficult problems and enjoy venturing into areas you have not explored before. This Role We’re looking for a strong, experienced ML Infrastructure Engineer to join our founding team. We are seeking someone with experience designing and scaling ML infrastructure and training pipelines. You’ll be responsible for building the core infrastructure that enables training, fine-tuning, evaluation, and deployment of LLMs across cloud and on-premise environments. Your work will directly impact product capabilities and speed of iteration. What's needed * 5+ years of experience in ML infrastructure or adjacent roles * Deep expertise in Python and experience with training frameworks like PyTorch or TensorFlow * Strong systems engineering skills and experience with distributed training, data pipelines, and performance optimization * Experience deploying ML models to production (REST APIs, batch jobs, streaming pipelines) * Proficiency with cloud platforms (e.g., GCP, AWS) and containerized systems (Docker, Kubernetes) * Experience managing GPU/TPU workloads efficiently * Good communication skills and the ability to work directly with engineers and customers * Prior experience training or fine-tuning LLMs * Experience setting up observability, monitoring, and evaluation pipelines for ML models What's good to have * Exposure to chip design fundamentals (via coursework or elsewhere) * Experience at an early-stage startup Our Culture Challenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.

Role: Northwood is looking for a Senior Site Reliability Engineer to architect and lead the monitoring and reliability systems that keep satellites connected to Earth. As we rapidly scale our ground station network across multiple continents, you'll design and build the observability infrastructure that ensures our space communications systems operate 24/7 for customers ranging from commercial satellite operators to national security missions. This is a high-impact leadership role where you'll architect global-scale reliability platforms while mentoring junior engineers and establishing SRE practices across the organization. You'll work directly with our founding engineering team and department heads to define the monitoring, alerting, and deployment strategies that will scale with us from startup to enterprise. If you're excited about space technology and want to architect infrastructure that directly supports mission-critical satellite operations while building and leading technical teams, this role offers that opportunity. Responsibilities: * Architect and maintain enterprise observability stack (Grafana, Prometheus, Loki, Vector, VictoriaMetrics) monitoring ground stations, satellite communications, and multi-region AWS infrastructure * Design SRE practices, error budgets, and SLO/SLI frameworks for mission-critical satellite systems with 99.9%+ uptime requirements * Build advanced AWS infrastructure with Terraform, implementing multi-region reliability, automated scaling, and disaster recovery for ground station operations * Lead CI/CD pipeline architecture using GitLab and ArgoCD with advanced deployment strategies for mission-critical software releases * Mentor junior engineers and establish reliability standards across the growing engineering organization * Design comprehensive Kubernetes deployments with Helm, focusing on high availability and zero-downtime operations * Lead incident response, conduct post-mortems, and drive systematic reliability improvements Basic Qualifications * 5-8 years of production infrastructure and SRE experience with demonstrated leadership in reliability improvements and team mentorship * Expert-level experience with Kubernetes, Docker, and container orchestration in large-scale production environments * Strong background in infrastructure as code (Terraform) and advanced CI/CD practices with experience mentoring others on these technologies * Advanced AWS experience including multi-region architectures, networking, security, and cost optimization, with demonstrated ability to architect complex cloud solutions * Proven track record of leading technical projects from conception to production in fast-moving, high-growth environments * Deep understanding of SRE principles, error budgets, SLOs/SLIs, and experience implementing reliability frameworks across engineering organizations Preferred Qualifications * Production experience architecting and scaling observability tools (Vector, Loki, Grafana, Prometheus, VictoriaMetrics) in high-throughput environments * Advanced experience with HashiCorp Vault, Okta, and enterprise identity/secrets management systems including policy design and implementation * Previous experience scaling infrastructure and leading technical teams at high-growth companies (startup to 500+ employees) * AWS Professional certification or equivalent demonstrated expertise with advanced cloud networking, security, and compliance frameworks * Strong Linux system administration and networking expertise with experience troubleshooting complex distributed systems * Background in aerospace, telecommunications, defense contracting, or other mission-critical, highly regulated industries * Experience with ITAR, NIST 800-171, or other defense/aerospace compliance requirements

Permanent Position: Cloud Infrastructure Engineer Company Overview: Florvets Structures is a leading construction and engineering company based in San Francisco, California. We specialize in building innovative and sustainable structures for commercial and residential projects. Our team is made up of highly skilled professionals who are passionate about creating cutting-edge designs and delivering exceptional results for our clients. Job Overview: We are seeking a highly motivated and experienced Cloud Infrastructure Engineer to join our growing team. As a Cloud Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure to support our construction projects. The ideal candidate will have a strong background in cloud computing, infrastructure automation, and project management. Key Responsibilities: • Design and implement cloud infrastructure solutions to support our construction projects, • Collaborate with cross-functional teams to understand project requirements and design appropriate solutions, • Automate infrastructure deployment and management processes using tools such as Terraform, Ansible, and Chef, • Monitor and optimize the performance of our cloud infrastructure to ensure high availability and scalability, • Troubleshoot and resolve infrastructure issues in a timely manner, • Develop and maintain documentation for our cloud infrastructure and processes, • Stay updated on the latest trends and best practices in cloud computing and infrastructure automation, • Participate in on-call rotation to provide support for production systems Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field, • Minimum of 3 years of experience in cloud infrastructure engineering, • Strong understanding of cloud computing concepts and technologies, such as AWS, Azure, or Google Cloud, • Experience with infrastructure automation tools, such as Terraform, Ansible, or Chef, • Knowledge of scripting languages, such as Python, Bash, or PowerShell, • Experience with containerization and orchestration technologies, such as Docker and Kubernetes, • Familiarity with monitoring and logging tools, such as Prometheus and ELK stack, • Excellent project management and communication skills, • Ability to work independently and in a team environment, • Willingness to learn and adapt to new technologies and processes, • Relevant certifications, such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect, are a plus Benefits: • Competitive salary and benefits package, • Opportunities for career growth and development, • Collaborative and dynamic work environment, • Flexible work schedule and remote work options, • Company-sponsored training and certifications, • Health insurance and retirement plans If you are passionate about cloud infrastructure and want to be part of a dynamic and innovative team, we would love to hear from you. Apply now to join Florvets Structures as a Cloud Infrastructure Engineer and help us build the future of construction. Health Insurance Workers Compensation Life Insurance

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Title: Staff QA Engineer in Machine Learning Location: Santa Clara, CA ServiceNow is changing the way people work. With a service-orientation toward the activities, tasks and processes that make up day-to-day work life, we help the modern enterprise operate faster and be more scalable than ever before. We’re disruptive. We work hard but try not to take ourselves too seriously. We are highly adaptable and constantly evolving. We are passionate about our product, and we live for our customers. We have high expectations and a career at ServiceNow means challenging yourself to always be better. What you get to do in this role: As part of the ServiceNow's Machine Learning Quality Engineering team, work on AI/ML-specific test strategies, and build testing frameworks. Opportunity to learn, work and contribute to the innovative and enterprise grade ServiceNow’s Natural Language Understanding and Artificial Intelligence engine as part of the overall offering. Experience with instrumentation and performance profiling of systems with large memory requirements and tight response tolerances. • Strong test automation skills in Java / Python, • Experience building test frameworks in Java / Python, • Experience with data augmentation, synthetic data, and similar techniques for improving quality and testing scalability, • Ability to review results from the test set and create defects based on result patterns, • Familiarity with Large Language Models, AI/ML modeling approaches such as supervised and unsupervised techniques, • Good knowledge of probability and statistics and their applications to AI/ML software quality evaluation, • Familiarity with common metrics for ML / LLM quality such as accuracy, precision, recall, F1-score etc., • Awareness of ML-specific challenges with reproducible test results, data dependence of testing outcomes, • Working experience with Large Language Models and NLU providers is a plus, • Ability to scale testing across Multiple Languages is a plus In order to be successful in this role, we need someone who has: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry., • 5+ years of experience in applied ML in the industry with a degree in computer science, machine learning or similar field, • 5+ years professional experience in quality assurance and/or application development ML in the industry with a degree in computer science, machine learning or similar field, • 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience, • Hands-on experience testing and maintaining large-scale, production systems in Python or Java For positions in this location, we offer a base pay of $163,600 - $286,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. ___. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Audio Perception team focuses on leveraging audio to provide sufficient scene understanding and driving behavior that are uniquely captured by audio. The team owns audio-related signals and supports applications across all product areas, improving key metrics like safety, rider comfort and cost. We strive to fulfill new product requests while preserving performance on existing applications as we rapidly scale to new cities. In this hybrid role, you will report to a Technical Lead Manager. You will: • Support new product requests end-to-end, from problem definition to a solution that is integrated in the onboard driving system., • Streamline the model development and evaluation stack for rapid adaptation to new tasks and data., • Establish and maintain a sustainable model stack to facilitate Waymo’s scaling across multiple platforms and cities. You have: • Bachelor’s degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience., • 3+ years of experience in Machine Learning, with a strong focus on deep learning for perception tasks., • Deep understanding of state-of-the-art ML techniques, especially those related to multi-class classification, regression, model adaptation and scarce data., • Proficiency in at least one deep learning framework (e.g. TensorFlow, PyTorch, JAX)., • Proficiency in C++ and Python. We prefer: • Master’s degree or Ph.D in Computer Science or a similar discipline, or an equivalent amount of deep learning experience., • Experience in audio modeling or digital signal processing., • Familiarity with multi-modal systems and/or foundation models., • Experience implementing infrastructure to support model development (e.g. data processing modules)., • Experience in optimizing ML models for on-device deployment and real-time performance., • Background in autonomous driving or robotics., • Familiarity with SQL. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$170,000—$216,000 USD

Bonfy.AI is building the trust layer for generative AI. Our Adaptive Content Security platform detects and mitigates subtle risks embedded in large language model (LLM) outputs before they reach users. From hallucinations to hidden data leaks, we enable enterprises to deploy GenAI confidently, without compromising truth, privacy, or reputation. We are model-agnostic, outcome-driven, and unapologetically rigorous. Our customers include leading Fortune 500 teams working in high-stakes sectors where trust is not optional. Why This Role Matters We need an MLOps Engineer to optimize our GPU-accelerated ML infrastructure for performance and cost efficiency. Working with our existing Sr. DevOps and Sr. SRE teams, you'll focus on the specialized ML optimization challenges that require deep machine learning expertise. • GPU & Cost Optimization: Design optimal GPU configurations and ML deployment strategies to maximize performance while minimizing cloud costs., • ML Performance Tuning: Optimize model serving, memory management, and inference pipelines for production LLM workloads. You will also work with models and customize prompts, write pre- and post-processing methods to improve accuracy and speed (production coded), and implement new models functionality in the system., • ML Infrastructure Optimization: 5+ years optimizing production ML systems with focus on GPU utilization and cost management, • GPU & LLM Expertise: Deep understanding of GPU architectures, memory management, and LLM inference optimization, • Python + DevOps Integration: Expert Python programming with experience working alongside DevOps/SRE teams on ML-specific solutions, • Collaborative Impact: Work with our existing Sr. DevOps and Sr. SRE teams to solve ML-specific challenges that require specialized expertise, • Technical Depth: Focus purely on cutting-edge ML optimization problems without getting pulled into general infrastructure work, • High Autonomy: Direct collaboration with engineering leadership in a fast-paced, technically rigorous environment, • Competitive Package: Strong salary, equity, comprehensive benefits, and flexible hybrid work model Bonfy.AI — Truth. Security. Intelligence.

About Sesame Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive. About the Role We are looking for an engineer who thrives at the boundary of computer vision and embedded machine learning. This role is about pushing the limits of what’s possible in vision-based interaction on resource-constrained devices. You’ll design and deploy algorithms that turn raw sensor data into seamless user experiences, balancing innovation in computer vision with the practical realities of ultra-low-power, wearable hardware. Working cross-functionally with research, hardware, firmware, and product teams, you’ll take ideas from the whiteboard all the way to production devices in customers’ hands. Responsibilities: * Design, train, and deploy algorithms for computer vision on low-power embedded hardware. * Adapt and compress larger ML models to fit power, memory, and latency constraints of real-time wearable systems. * Own the full ML development cycle: system design, data collection & curation, synthetic data generation, model training & evaluation, and on-device optimization. * Collaborate closely with electrical, mechanical, firmware, and product teams to co-design algorithms and hardware in tandem. * Pick promising approaches from the literature to bet on, and create new approaches where necessary to achieve our unique goals. Required Qualifications: * 5 years of experience in Software Engineering, ML Research, or related fields. * Experience working with a high degree of autonomy in ambiguous environments. * Proven experience developing and deploying computer vision ML models on resource-constrained or embedded devices. * Proficiency in C/C++ as well as Python, with strong experience in deep learning frameworks such as PyTorch, TensorFlow, or Jax. * Hands-on experience with end-to-end ML workflows, from data capture to on-device deployment. * Strong grasp of signal processing, vision-based feature extraction, and/or time-series analysis. * Excellent communication skills and the ability to work collaboratively across disciplines. * Bachelor’s degree or higher in computer science, electrical engineering, computer vision, machine learning, or a related field. Preferred Qualifications: * Experience with wearables, cameras, IMUs, or tactile/force sensors. * Familiarity with synthetic data generation and augmentation techniques. * Experience in a startup or fast-moving product environment. * Experience deploying models in products. * Track record of optimizing algorithms for power, latency, and memory footprint. * Master’s / Ph.D. in a relevant field. Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact for assistance. Full-time Employee Benefits: * 401k matching * 100% employer-paid health, vision, and dental benefits * Unlimited PTO and sick time * Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers