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Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

AI Linguist Overview: • We leverage large volumes of data and state-of-the-art machine learning techniques to understand what our 1B members read and write about on linkedin.com. AI Engineers and AI Linguists work together to impact positively on the LinkedIn feed experience, personalized content recommendation, ads relevance and more., • We are seeking AI Linguists to join our diverse and interdisciplinary team to focus on AI quality, evaluation, and annotation and to contribute with their expertise to the annotation/human judgment pipeline development that lay at the foundation of the LinkedIn AI model development and improvement., • We trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together., • Location –Sunnyvale, CA or Mt. View, CA (Hybrid – Tuesday through Thursday Onsite) Responsibilities: • Design and execute on solutions for AI quality, evaluation, and annotation, • Leverage Generative AI prompting, human input, hybrid approaches in the development of scalable and high-quality human judgment workflows, • Conduct data-driven analysis and provide linguistic insights for project development, • Be part of working groups that develop high-quality human judgment/annotation/evaluation pipelines, • Research new methodologies for process and product improvement, • Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, • Perform continuous evaluations of the agentic products and report findings Basic Qualifications: • B.S./B.A Degree in Computational Linguistics, Language Technologies, Linguistics, Speech Science or a related field., • 2+ years relevant industry experience., • 2+ years experience with large-scale, end-to-end human judgment flows and tools for the training/evaluation of AI models, • 2+ years experience to breakdown linguistic data requirements into concise, clear instructions and designs, • MS or Ph.D. in Computational Linguistics, Language Technologies, Linguistics or a related field., • Previous experience with agentic products is a strong plus, • Experience with human judgment projects and flows, • Experience with complex and scalable data annotations and evaluations, • Experience with programming languages in data annotation space, • Willingness to learn technical concepts and new tools and a keen interest in technology Compensation: • $58.70 - $69.28 Hourly (W2/Non-Exempt) Req# 16198

JOB DESCRIPTION: JOB Title : Data Scientist + ML Engineer (Gen AI) (NO C2C) Location : Cupertino , CA (Remote , but needs to be onsite occasionally) Duration : 12 months contract with possible extension POSITION OVERVIEW: We are looking for a highly skilled Data Scientist + ML Engineer (Generative AI)to join our team. In this role, you will be responsible for developing, fine-tuning, and applying advanced generative AI models — including diffusion models, large language models (LLMs), and other state-of-the-art architectures. You will collaborate closely with cross-functional partners in research, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets. This position requires a balance of technical depth and creative problem-solving. You should be comfortable working with large, complex datasets and possess a strong grasp of modern ML frameworks, distributed computing environments, and end-to-end data pipelines. RESPONSIBILITIES: • Design and Implement LLM-Driven Synthetic Data Pipelines: Design and build work flows using LLMs and Gen AI techniques to create high-volume, high-quality synthetic data for model training and testing., • Design, implement, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs, and related architectures), • Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs, • Develop and maintain scalable data pipelines supporting training, evaluation, and inference workflows, • Conduct exploratory data analysis to surface insights and identify opportunities for model or data improvement, • Partner cross-functionally with researchers, engineers, and data program managers to defi ne requirements and deliver high-impact ML solutions, • Build and enhance internal tools, libraries, and automation work flows to accelerate experimentation and iteration REQUIRED EXPERIENCE AND SKILLS: • Bachelor’s degree in Computer Science or related fi eld from an accredited U.S. institution, • 2+ years of experience in Machine Learning or Software Engineering, • Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch, • Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques, • Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs), • Excellent analytical, problem-solving, and debugging skills, • Strong communication and documentation skills with the ability to explain complex concepts clearly, • Ability to work independently in a fast-paced, iterative development environment

One of our partner company, are not just building AI—they’re redefining what’s possible at the nexus of physics, programming, and machine learning. As an Applied Scientist on their team, you’ll tackle real-world scientific and coding challenges—developing novel reinforcement-learning algorithms and physics-informed models that accelerate breakthroughs in logic, coding, and semiconductor design. If you thrive on pushing the envelope of research and translating cutting-edge ideas into production-grade systems, this is your stage. What you'll do • Prototype and validate new algorithms. Design, implement, and empirically evaluate novel RL, supervised, and unsupervised methods—especially those that leverage physics priors or logical constraints., • Bridge research and production. Collaborate closely with ML Engineers and infrastructure teams to integrate experimental models into scalable pipelines, ensuring reproducibility, observability, and sub-second performance., • Build robust experimentation platforms. Develop and maintain data-processing pipelines, training orchestration, and evaluation frameworks to accelerate iteration on large-scale experiments., • Analyze and iterate. Dive deep into large datasets—experimental logs, simulation outputs, and user interaction traces—to diagnose model behavior, surface failure modes, and drive evidence-based improvements., • PhD or Master’s in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a closely related field, with a strong focus on machine learning, reinforcement learning, or scientific computing., • Hands-on experience developing and evaluating ML/RL algorithms—ideally demonstrated via publications, open-source contributions, or applied research projects., • Proficiency in Python and deep-learning frameworks (PyTorch or TensorFlow), with solid coding practices for collaborative research. (Not required, but great to have): • Prior work on physics-informed neural networks, scientific simulations, or logic-based learning., • Demonstrated expertise in reinforcement learning for combinatorial optimization, theorem proving, or code generation. We’re a rapidly growing, VC-backed startup where “raw talent and collaborative spirit over ego” isn’t just a motto—it’s how we work every day. You’ll be surrounded by teammates who have built companies from zero to IPO, led teams at Google and Amazon, and earned medals in international science Olympiads. We value relentless curiosity, humble problem-solving, and a bias toward action. Logistics • Redwood Shores, CA (U.S.) and Toronto, ON (Canada), • Schedule: four days in our beautiful office, one day remote, • Visa Sponsorship: We welcome H-1B transfers and other employment-based visas

On the TikTok Search Team, you'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system. At TikTok, our mission is to inspire creativity and bring j

TikTok Accommodation TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. About TikTok TikTok is the leading destination for short-form mobi

General Hire: Machine Learning Engineer (Data and Eng, USDS) - 5 Start (MS) Join to apply for the General Hire: Machine Learning Engineer (Data and Eng, USDS) - 5 Start (MS) role at TikTok. About USDS TikTok is the leading destination for short-form mobile video. Data Security (USDS) is a TikTok

Our investments in technology infrastructure and world‑class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. Please note that this salary information is solely for candidates hired to perform work within one of thes

About TikTok TikTok is the leading destination for short-form mobile video. TikTok Accommodation TikTok provides reasonable accommodations in recruitment for candidates with disabilities or protected beliefs. The application limit is applicable to TikTok and its affiliates jobs globally.

Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MA) Join to apply for the role at TikTok.

Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent pro

Enrolled full-time in a Computer Science, Statistics, Data Science, NLP, or related quantitative field program, expecting graduation between December 2026 - June 2027.

On the TikTok Search Team, you'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system. TikTok is committed to creating an inclusive space where em

Computer Science, Data Science, Machine Learning, Analytics, Mathematics, Statistics, or other relevant majors.

A degree in Computer Science, Data Science, Statistics, or a related quantitative field. Autonomous Healthcare is looking for a skilledMachine Learning Engineerto join our data science team.

Job DescriptionDescriptionRole Summary Join Align’s Finance Analytics team for a hands-on summer internship focused on data-driven decision-making and AI-powered solutions. You’ll work on financial analysis, forecasting, and automation projects, leveraging tools like Power BI, Python, and Copilot AI to enhance planning and reporting Role Expectations • Assist in data analysis, forecasting, and reporting for annual planning and monthly reviews., • Build and optimize dashboards and predictive models to support business and growth tracking., • Explore and implement AI-driven tools (e.g., Copilot, machine learning models) to improve financial workflows., • Collaborate with Product, Marketing, and IT teams to integrate automation into planning processes., • Document processes and provide recommendations for efficiency improvements., • Support ad-hoc analysis and data visualization for leadership presentations.What We’re Looking For, • Education: Pursuing a Bachelor’s or Master’s degree in Finance, Data Science, Business Analytics, or related field., • Skills:, • Strong analytical and problem-solving abilities, • Proficiency in Excel, Power BI, and data visualization tools, • Basic knowledge of Python/R and SQL, • Technical: Familiarity with AI/ML concepts and interest in Copilot or similar AI assistants., • Communication: Ability to present insights clearly and collaborate effectively., • Teamwork: Comfortable working independently and in cross-functional teams.Complementary Skills, • Experience with Business & financial modeling and forecasting techniques., • Exposure to cloud-based analytics platforms and automation tools.

Job Description Classification: Non-Exempt, $20.40 Hourly Job Summary: The Feeder/Folder continuously grasps, sorts, and grades clean textiles and then either folds by hand or feeds into an ironer or folding machine for final finishing. Performs other tasks as required. About Us: We are Alsco Uniforms. We’ve been working hard for our customers since 1889 when we invented the uniform and linen rental industry. Alsco Uniforms has grown into a worldwide leader serving over 350,000 customers in 13 countries. It’s our job every day to make every aspect of the customer experience better. Whatever our customers need, Alsco Uniforms finds the answers that work for them. Our employees are the heart and soul of Alsco Uniforms. As a result, we have a long history of strong financial performance, continuous improvement, and customer service. We’re seeking driven professionals with an ambition to grow within our company. We’d love to talk to you about how you can fit into our team of diverse individuals and how your hard work will be rewarded with competitive pay and benefits and ongoing career development. Join our team and build your career with Alsco Uniforms! Our full-time employees enjoy: • 401K Plan with Company Match, • Medical, Dental, Vision, FSA/HSA, • Life Insurance, Disability Insurance, • Vacation, Sick Time, Holidays, • Choice of Global Cash Card or Direct Deposit, • Career Advancement, • Learning & Development Opportunities Essential Functions: • Grasp textiles from a cart/bin then sort, inspect, and grade according to quality standards., • Fold, assemble, and package by hand different types and sizes of textiles., • Feed different types and sizes of textiles into ironers or folding machines., • Place finished product onto conveyors or into carts, and dump slings of product onto work tables., • Move loaded or empty carts/bins within the production area., • Process textiles according to type and written packing instructions., • Continuously meet efficiency and safety standards for the position., • Follow instructions as directed by supervision., • Recognize colors and sizes, count and sort accurately., • Recognize, inspect, and grade products., • Comprehend and follow written packing instructions., • Physical Demands consist of standing, walking, reaching overhead, pushing, pulling, grasping, lifting up to 25 lbs., and stooping. Alsco Uniforms is an Equal Employment Opportunity Employer. Candidates are considered for employment with Alsco Uniforms without regard to their race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status (specifically status as a disabled veteran, recently separated veteran, armed forces service medal veteran, or active duty wartime or campaign badge veteran), or other classification protected by applicable federal, state, or local law. Revised: 04/29/2022

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Dental insurance, • Employee discounts, • Flexible schedule, • Health insurance, • Opportunity for advancement, • Training & development, • Vision insurance The Resale Revolution Starts With You! Every great team is led by a great leader. As a Keyholder, you will assist the management team with day-to-day store operations and bring our brand promise to life: to offer a fun, fashion-centered, and affordable shopping experience to our communities. Keyholders help drive Crossroads' values- creating an inclusive environment where all feel welcome to enjoy a second-hand shopping and selling experience. What Youll Do: When you join Crossroads, you are joining the sustainable fashion movement and reshaping fashion culture. And you arent just impacting the planets future- you are impacting your own. • We have clear paths for promotion and several routes you can take as you embark on your second-hand retail journey., • Youll learn how to run a second-hand business youll embody an entrepreneurial spirit- learning everything from buying, merchandising and inventory practices to gaining and maintaining the trust of a customer base who has been devoted since day one.You are:, • A Team Player. You are as enthusiastic about the success of others as you are about your own success., • Authentic. You are your unique self!, • Fashion-focused. You eat, breathe, and sleep style. Fashion is life., • Adaptable. You feel comfortable adjusting to changing circumstances and encourage your teammates to do the same. We problem-solve together!, • People-first. You are energized by people. You radiate kindness and positivity! You understand your impact and are someone who uplifts others., • A Trainer. You enjoy explaining how things work and have patience when teaching others .You will:, • Engage. You get to meet new people, every day! Lead by example greeting each customer with a smile and welcome them to our store. Create a welcoming, fun, and inclusive environment to shop and work in., • Prioritize + Delegate. There will be a lot coming your way from running breaks to noticing lines- youll need to use your team to get everything done and run the store like a well-oiled machine!, • Ask and Educate. You will teach our customers how we work and get them excited about selling their clothes to us!, • Have integrity. You will act with integrity in words and actions- do the right thing and do it right, even when its difficult., • Be Compassionate. You will embody our core values of service, inclusion, and education. Its important that we connect with all customers and try our best to help them., • Be Reliable. You will show up to work on time and ready to go!, • Be Flexible. You understand that needs change and evolve throughout the day- you know how to support your team and customer as needed.Perks: Health + Wellbeing We will: • Support your wellbeing. We care about our employees holistically and offer sick paid time off., • Prioritize wellness for all. We offer medical, dental, and vision insurance for ALL employees who work at least 20 hours a week!, • Give you incentives when you work during the holidays. We give you time and a half pay for select holidays throughout the year, and we are closed on Thanksgiving and Christmas., • Contribute to your 401(k). Free money? Well match up to 6% of your contribution as soon as you are eligible! We offer both a Roth and traditional 401(k)., • Offer a generous discount on all merchandise including luxury consignment pieces- shop where you work!, • Be Transparent. We have clear pay ranges and always advertise pay for positions. We believe in pay equity., • Offer Earned Wage Access. Need money before payday? Youll be able to access pay as you earn it through our partner app ZayZoon, • Empower you. Our Employee Resource Group (ERG) gives you a seat (and a voice) at the table. They meet monthly to discuss how we can shape the company through a diverse lens and meet our DEI commitments., • Let you take the lead. We offer clear paths for growth and ongoing professional development that are straightforward and attainable., • Celebrate with you. Well provide you with many opportunities to bond with your team as you celebrate successes together., • Equip you with the tools to be successful. As you onboard & throughout your career, our training programs will set you up to win.Minimum Requirements:, • Prior supervisory experience in retail (6 months+), • Have a good eye for fashion and current trends., • Must be able to work a minimum of 16 hours per week. Since opening the doors of its first location in the heart of San Franciscos Fillmore District, Crossroads has expanded over time to 39 retail locations spanning Northern and Southern California, Chicago, Seattle, Portland, Denver, New York, Houston, and Dallas. And in recent years, we have added Sell-By-Mail and Concierge programs to provide convenient new ways for fashionable and eco-conscious customers to sell their gently used clothing. Crossroads has been featured in Harpers Bazaar, Teen Vogue, and LA Mag, and is widely recognized as an industry leader in the resale revolution. If you like sustainability, fashion, and working in a fun, positive environment, youll enjoy a career with us!

Job Description Come join a team of industry Engineering and Science leaders to achieve a vision of empowering innovation through state of the art artificial intelligence and machine learning. If you don't see a job posting that applies to your background but your interested in building cool things with aiXplain, then this job posting is for you! aiXplain will periodically review resumes submitted to this general application. No matter your background or expertise, if you believe you can be a great fit for our organization then drop us your resume here. We love hearing from people who are excited about our mission and our products that believe they can provide a positive impact on our growing organization. All professional backgrounds at varying levels of experience from most locations across the globe are welcome.

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We’re in search of a Full Stack Engineer who thrives on innovation and creative problem-solving across both server-side and client-side technologies. This role is ideal for someone excited to design, build, and maintain the backbone of our AI solutions while also creating intuitive, dynamic user experiences. You’ll be pivotal in enhancing our AI capabilities by developing high-performance back-end systems and integrating advanced AI into daily data workflows. Simultaneously, you’ll craft impactful front-end interfaces, from our React-based SaaS platform to our VSCode extension—offering data professionals a seamless, AI-driven developer experience. Qualifications: * 3+ years of experience building Python-based web application backends (e.g., Flask, FastAPI, Django) and the infrastructure on which they run * 5+ years of experience designing and developing scalable back-end systems, APIs, and microservices * Strong proficiency in JavaScript/TypeScript and React for building user-facing applications * Hands-on expertise in front-end tooling and libraries (Webpack, Babel, Redux, etc.), with a focus on responsive design, usability, and performance optimization * (Desirable) Working knowledge of static code analysis of SQL * (Desirable) Experience developing and extending VSCode extensions in JavaScript/TypeScript * (Desirable) Familiarity with AI and machine learning concepts * (Desirable) Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) * (Desirable) Involvement in open-source projects Why you should join Altimate AI Projects You'll Work On: * Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension. * Front-End Development for DataPilot Build and enhance intuitive, user-friendly interfaces in React for our browser-based SaaS platform. Ensure seamless interactions with our AI backend and deliver an exceptional user experience to thousands of data professionals worldwide. * VSCode Extension Develop and maintain our VSCode extension (JavaScript/TypeScript) to bring AI-driven functionalities directly into developers’ IDE workflow. Focus on smooth integration, performance, and developer experience. * Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance. Impact: * Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies. * High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries. * Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community. * Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications. What We Offer * Competitive salary and equity * Base Salary Range: $130,000 - $180,000 [influenced by your expertise, where you live, how the interview goes, and how well you match the role] * Equity: 0.0% - 0.2% * Extensive professional development opportunities and resources for continuous learning * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact How to Apply If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Job DescriptionResponsible for writing high performance code and verifying the performance against hardware for deep learning and AI workloads. Run benchmarks or key customer workloads under simulation to identify performance bottlenecks and optimize them. Debug and optimize compiler back-ends for the RISC-V architecture. Collaborate cross-functionally with Silicon design, architecture experts, and other teams across the company. Develop drivers for various IP blocks in embedded environments and in the Linux kernel for the development boards using lab equipment. Work with the silicon team to craft specifications for the future product chips and build software to run on the chips and boards. Create and maintain CI for the existing repos used by the software team.Education: • Master’s or foreign equivalent in Computer Science or related fieldExperience:, • 1 year of experience in job offered or related occupation.Special Requirements:, • Must have at least 6 months of prior internship or work experience in each of the following:, • Python and C++ to build software to run on the chips and boards.

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Bonus based on performance, • Dental insurance, • Employee discounts, • Free food & snacks, • Health insurance, • Opportunity for advancement Job Summary We are continuing to innovate in the pet technology space for pet owners & pet brands. Pet software & platform service industry is about 20~30 years behind the human's software industry and this yells out "opportunity to disrupt the market". Our products, primarily smart IoT devices, are already making waves in the market, and were projected to reach over six hundred thousand monthly active users on our app by the end of 2024. As we continue to grow, were looking for a Senior Embedded Software Engineer to architect, design, build, and test embedded firmware systems for the next generation of pet IoT platforms. In this role, youll shape the core of our technology, working closely with hardware and software teams to prototype, develop, and refine innovative pet care products. Responsibilities • Architect, design, and implement embedded firmware for IoT devices., • Develop and optimize firmware drivers, RTOS, and low-power solutions for microcontrollers (ARM Cortex-M)., • Integrate wireless connectivity protocols (Wi-Fi, BLE, etc)., • Implement real-time data processing, sensor control, and power management algorithms., • Debug and troubleshoot hardware-software interactions using oscilloscopes, logic analyzers, and JTAG., • Collaborate with hardware and software teams to ensure system-level functionality and performance., • 5+ years of experience in embedded firmware development., • Strong proficiency in C/C++ for real-time embedded systems., • Hands-on experience with RTOS-based development (FreeRTOS, RT-Thread)., • Experience with IoT connectivity protocols (Wi-Fi, BLE, MQTT, etc)., • Familiar with microcontroller architectures (STM32, ESP32, Nordic, etc)., • Solid debugging skills using tools like JTAG, GDB, and oscilloscopes., • Experience with OTA firmware updates and security in embedded systems., • Knowledge of Python or embedded scripting for test automation., • Experience in machine learning on edge devices or AI integration.Compensation & Disclaimer, • Salary Range: $140,000 $200,000 USD annually, • Final compensation will be based on candidate experience, seniority, and technical expertise. In addition to base salary, the role may include annual performance bonus, equity, and comprehensive benefits.

Job DescriptionBoson AI is an early-stage startup building large language tools for everyone to use. Our founders (Alex Smola,Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on designing model architectures, proposing new loss objectives, and improving generative multimodal models to a new level. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. We encourage you to apply even if you do not believe you meet every single qualification. As long as you are motivated to learn and join the development of foundation models, we’d love to chat.Responsibilities • Design model architectures and loss objectives to handle combinations of images, video, text, speech, and audio data., • Build diverse datasets to support multimodality learning, including data collection and processing., • Develop new evaluation pipelines to adapt to various forms of generative outputs.You may be a good fit if you have:, • Experience in writing clean and efficient codeMaster or Doctoral degree in computer science or equivalent., • Proficiency in at least one deep learning framework, such as PyTorch or JAX., • Participated in at least 1 research project related to multimodality learning.Strong candidates may also have:, • Experience in generic multimodality learning research (e.g., multimodal joint embedding, text-to-image generation, text-to-video generation, etc.), • Experience in document understanding (e.g., layout analysis, structured data extraction, OCR)., • Experience in audio transcribe, diarization, audio generation, etc. Active Github contributions are a big plus.

Job Description I NEED A SERVICE ADVISOR Hello, my name is Michael and I am in charge of running Reliable Auto Repair which is located in south San Jose. We are a family-owned small business with a loyal customer base, good reputation, and a desire to add one person to the front office as a service advisor. I’m aiming to be as straightforward as possible and keep things light, so at the very least this won’t bore you to death like all the other cookie cutter ads. We’re looking for a service advisor who’s already managed a busy shop — around 300+ cars a month and around $200K+ in gross monthly sales. If you’ve done that before and you know how to keep it running smooth, you will fit in perfectly. This is a very fast paced shop and the exact opposite of most dealerships, corporate chains, or franchises. We are a very small tight knit crew and we hope that your attitude towards work is like ours. To put it extremely simply, I need someone that is a humble, normal human being who can consistently provide the same experience to every single customer 5 days a week and treats the shop like it belongs to them. WHATS IN THE SHOP? · The garage consists of 4 bays, an alignment rack, an ADAS machine, tire mounting machine, and tire balancing machine. · There are 4 automotive technicians and one front office person (me). · Average car count is 80 cars a week. WHAT WOULD YOU DO ALL DAY? · Come in Monday thru Friday at 7:45 AM. · Have a 5-minute meeting with four automotive technicians about all the appointments coming in for the day on a whiteboard that was written up the previous day. · Prepare estimates, write up repair orders for customers, assign work to the technicians, order parts, organize parts, schedule returns, order shop supplies, sell repairs that the technicians find, answer the phone, call customers for pickups, and bill customers out. · By 5PM you make sure everyone is clocked out, help park the cars inside the garage, and go home. CALL ME IF: · You hold a minimum of 185k gross monthly average over a year period. · You consistently write up a minimum of 280 cars a month. · You have an excellent memory. · You know what the terms gross profit, net profit, and effective labor rate mean. · You dress appropriately. · You are a good salesperson - I don’t want someone who can “sell anything to anyone”, I want someone who can properly explain what someone’s vehicle needs and then empower the customer to make the best-informed decision that they can. This business is a marathon and not a sprint. · You should have a basic understanding of how cars work. You don’t need to know every engineering detail, but you do need to be able to explain what it does in simple, plain language. The techs handle the technical side; your job is to clearly communicate what’s being recommended and why, so customers actually understand it. · You are able to switch focus between multiple tasks quickly – you will frequently have to put a customer on hold over the phone, to talk to a technician, while a parts delivery driver is waiting for you to write a check, while a customer comes in to pick up their car. · You have experience using shop software to prepare estimates and possess the tech literacy to send an email with a PDF attachment. PAY If you’re capable of consistently writing $3–4 million a year on your own, your paycheck will show it. Most interviewees I’ve talked with so far have landed somewhere between $65K and $130K a year — everything’s negotiable for the right person. Probationary period is 3 months. We have full dental, vision, and health insurance coverage and matching 401k plans. IN CONCLUSION: I am looking for someone who can outperform me and eventually take on a leadership role in the business. I have been running the shop solo for over a decade and want to meet someone who can not only preserve the level of service I have established, but someone who is hungry to keep learning and growing. Call Michael at 408-230-2952 and let me know what you’re about. Talk soon thank you! Company DescriptionReliable Auto Repair is a family run auto shop in South San Jose. We've been in business for over 15 years and strive to provide each customer with honest, timely, and competent service!Reliable Auto Repair is a family run auto shop in South San Jose. We've been in business for over 15 years and strive to provide each customer with honest, timely, and competent service!

Job Description Our Client Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs. By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: New York, NY Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance. * Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding. * Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data. * Build agents capable of operating natively on real-world audio inputs. * Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications. * Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions. * Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments. * Participate in continuous improvement of the ML infrastructure and processes for scalability and performance. Qualifications * Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. * 1-6 years of professional experience in ML engineering. * Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure (preferably AWS). * Strong understanding of data pipeline design, real-time inference, and model monitoring. * Excellent communication skills with the ability to engage directly with customers and stakeholders. Core Experience * Proven experience building and deploying ML models into production environments. * Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring. * Experience with audio-focused ML projects or similar domains involving unstructured data. * Proficiency in building scalable data pipelines for model training and evaluation. * Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.

Job DescriptionJob Title: Control engineer Position Type: Full time Location: Santa Clara, CA, USA Salary Range: $150,000 - $230, 000 (USD) Job ID#: 158283 Job Description: We are seeking talented Control Engineers to join our dynamic team and lead the development of state-of-the-art control and state estimation algorithms for our robot platform. Responsibilities * Develop and implement state estimation, sensor fusion, planning, control algorithms that enable fast, dynamic and safe robot motion * Collaborate with cross-functional teams including embedded system, perception, hardware, AI * Optimize control performance across multiple domains including stability, safety, precision, and energy efficiency * Design and conduct experiments to validate control algorithms both in simulation and on hardware * Analyze system performance data to identify failure modes and improvement opportunities * Document technical approaches, implementation details, and experimental results Requirements: * Master's or PhD in Robotics, Controls, Mechanical Engineering, or related technical field * 4+ years of professional experience developing control systems for dynamic robots * Strong expertise in control theory including nonlinear control, model predictive control, and optimal control * Experience with state estimation techniques such as Kalman filters, particle filters, and factor graphs * Proficiency in C++, Python, Rust for real-time robotics applications * Strong understanding of robot kinematics, dynamics, and mathematical modeling * Experience working with sensor integration including IMUs, encoders, force/torque sensors * Proven track record of implementing and testing control algorithms on physical robotic systems • Excellent problem-solving skills and ability to debug complex system interactionsPreferred Requirements: Experience with highly dynamic control systems such as bipedal, quadruped, or humanoid robots * Knowledge of reinforcement learning or other machine learning approaches for control * Experience with whole-body control and contact dynamics for legged systems * Experience with real-time computing and optimization * Background in trajectory optimization and motion planning * Familiarity with ROS, simulation environments (e.g., Drake, Isaac Sim, SAPIEN, MuJoCo, PyBullet) * Track record of publications in top-tier robotics conferences/journals About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR pr9a7AfcYl

Job DescriptionWe are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding.Responsibilities: • Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs., • Benchmark perception models using large-scale datasets and well-defined quantitative metrics., • Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications., • Maintain a strong focus on performance, robustness, and scalability for deployment in production systems., • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts., • Ensure team compliance with QMS, monitor quality, and drive process improvements.Required Skills:, • Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field., • Ph.D. new grad or Masters + 3 years industry experience, • Proficiency in Python and experience building deep learning pipelines., • Strong expertise in PyTorch, TensorFlow, or JAX., • Proven experience with LiDAR-based 3D perception and BEV representation models, • Deep understanding of multimodal sensor fusion architectures and techniques., • Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines., • Solid foundation in computer vision, deep learning, and 3D geometry.Preferred Skills:, • Industry or academic experience in autonomous vehicle perception, robotics, or related areas., • Hands-on experience developing deep learning models in real-world or production environments.

Job DescriptionCompany Description 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 believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career Palo Alto Networks Prisma AIRS leads the industry in advanced AI Security Capabilities, including Runtime Security, Model Scanning and Red Teaming. As a Site Reliability Engineer, you will be embedded directly in an engineering team, enabling deep collaboration with Software Engineers, AI/ML Researchers, Architects, and Product Managers. You will have a direct and fulfilling impact on the future of AI Security. A Principal Site Reliability Engineer in Prisma AIRS embodies integrity, creativity, and a tireless dedication to continuous improvement. You will have the opportunity to design, build and operate cutting edge cloud-native applications from the ground up at massive scale. We're looking for resourceful and discerning engineers with a diverse technology background and a bias for action who will accelerate the team with creativity, experience and clean code. Your Impact * Operate Prisma AIRS Cloud Services through contemporary Reliability Engineering practices. * Design, Build, Operate and Secure Cloud-Native Microservice Applications at Global Scale. * Own End-to-End Service Delivery in Production - Availability, Performance, Scalability, Security. * Partner with Software & ML Engineers to design and build new capabilities and features. * Banish toil through automation - from shell scripting to cluster orchestration to dynamic CI pipelines. * Gain a deep understanding of how we deliver AI Security; you'll be able troubleshoot end-to-end a production issue from an inbound HTTP request, through the network, webserver, model inferencing, database, down to the hardware layer. Qualifications Your Experience * You must be an expert in all things Kubernetes; you have a deep understanding of Kubernetes concepts, experience with building and operating production applications in multi-cluster environments, writing Helm charts from scratch and interacting with the Kubernetes API. * You must be an expert in either GCP or AWS, with at least 5 years of experience building and operating production cloud infrastructure at scale. * You must have significant Software Engineering / Development experience building applications in Go and/or Python. * You should have demonstrated experience in network operations, such as cloud networking, network security, and/or distributed computing systems. * You should have demonstrated experience in Linux administration, particularly in the context of cloud-native distributed systems, container runtimes, or Linux server fleets. * You should have experience with Relational Databases and SQL; you know how to read, write and refactor SQL queries, identify opportunities for and design secondary indexes, manage database objects such as tables, views, stored procedures, and perform backup/restore operations. * You should have experience designing, building and maintaining CI and/or GitOps pipelines for complex multi-application/multi-environment projects. * You should have experience in building application observability through Prometheus / OpenTelemetry metrics, Structured Logging or Distributed Tracing systems. * You may have practical experience in Information Security, such as Cloud / Application / Network Security and are familiar with compliance programs such as SOC2, ISO/IEC 27001, PCI-DSS, FedRAMP or control frameworks such as MITRE ATT&CK, NIST 800-53, OWASP or others. * You may have experience with running LLM / Machine Learning Inferencing Servers at scale across heterogeneous multi-GPU cloud environments. Additional Information The Team Our Prisma AIRS team is a group of highly motivated and innovative engineers and researchers dedicated to solving the most challenging problems in AI security. We thrive in a collaborative environment where we value creativity, ownership, and a commitment to excellence. You will have the opportunity to work with cutting-edge technology and make a significant impact on the future of cybersecurity. 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 $151,600 - $245,294/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. 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.

Job DescriptionThe CompanyGridmatic 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. At Gridmatic, we foster a collaborative and inclusive culture where learning and growth are constant. We move quickly, solve problems with integrity, and balance environmental responsibility with data-driven excellence.Responsibilities • Develop and implement advanced optimization models for Security-Constrained Unit Commitment (SCUC), Security-Constrained Economic Dispatch (SCED), and other electricity market clearing processes., • Model electricity market behavior from the participant perspective (generation, storage, demand response), including bidding strategies, forecasting, and risk exposure., • Simulate market outcomes under various conditions, including congestion, renewable variability, storage operations, and policy changes., • Develop tools for network modeling, power flow analysis, and contingency analysis., • Work closely with engineers to productionize models, ensuring scalability and reliability.Qualifications, • MS or PhD in Electrical Engineering, Power Systems, Operations Research, or a related field., • Strong background in optimization (mixed integer, stochastic, robust, convex) with applications to SCUC/SCED or other electricity market problems., • Familiarity with AI techniques in energy markets., • Solid understanding of ISO/RTO market rules and participant behavior., • Proficiency in Python and experience handling large datasets.Bonus Skills

Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. We are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.Responsibilities: • Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques., • Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy., • Integrate the data-driven models into simulation pipelines with seamless compatibility., • Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates., • Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies., • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.Required Skills:, • MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field., • Extensive experience applying deep learning techniques to time series forecasting and data analysis., • Proficient in Python with experience working in large codebases., • Excellent communication skills and the ability to collaborate effectively in a team setting., • Familiarity with state-of-the-art deep learning models and their applications., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.Preferred Skills, • Proficient in C++, • Background in autonomous vehicle prediction, planning, and control, • Strong understanding of conventional vehicle dynamics modeling

Job Description JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. Wed love to chat if you have: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Design and develop machine learning and AI models detect/mitigate fraud, • Support stakeholders and cross-functional teams in effective usage of models, • Drive AI transformation for all risk management activities at BILL, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions., • Utilize data analysis to design and implement fraud models, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Machine Learning & Artificial Intelligence, • Data Science, • Model development, • Dashboard Creation, • Project Management, • Strong SQL proficiency, • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation, • Proficiency in AWS Quicksight and Tableau, • This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced., • Strictly contract to cover multiple leaves over a 1 yr. period., • Potential to extend based on business need and performance., • Day shift: M-F Pacific time, • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Job DescriptionCompany Description 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 believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We are seeking a security research engineer to join our pioneering security team. This role is for a technical expert passionate about deconstructing complex threats and building the next generation detection systems. You will be responsible for leading our efforts in threat research, which demands strong research and development abilities with a deep background in ML/AI as well as malware analysis. You will also spearhead the design and implementation of innovative security solutions using generative AI, large language models (LLMs), and agentic systems to automate and scale our detection and analysis capabilities, keeping us ahead of sophisticated adversaries. Your Impact * AI-Driven Detection & Automation: Lead end-to-end machine learning projects for threat detection. This encompasses defining the model architecture, sourcing and preparing data, building and managing training pipelines, deploying models into production, and monitoring their performance. Design, build, and deploy innovative security solutions leveraging Generative AI and agentic systems. Develop intelligent agents and workflows to automate threat hunting, accelerate malware analysis, and streamline threat intelligence processes. * Research & Publication: Disseminate cutting-edge research findings and contribute to the security community by publishing results in technical blogs, industry white papers, and academic papers, particularly on topics related to malware analysis and AI for security. * Collaboration & Communication: Work closely with cross-functional teams, including other security services: threat prevention, internet security and IoT security, endpoint security to integrate and deliver sustainable and quality coverage and defense. Qualifications Your Experience * BS/MS/PhD degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience. * 4+ years of experience in a research or engineering role, demonstrated experience in leading machine learning projects in malware domain or detection systems, including a strong understanding of model development, data preprocessing, and deployment. * Proven experience in the complete software development lifecycle, with proficiency in one or more programming languages (e.g., Python, Go, C++). * Strong experience in reverse engineering, system security, threat research, malware/code analysis or vulnerability research is a big plus * A proven track of top tier publications in cybersecurity related areas is a big plus. * Solid understanding of the threat landscape, including common attack vectors, malware techniques, and threat actor tactics is a plus. Additional Information The Team 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 $139,600 - $225,750/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. 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.

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Dental insurance, • Health insurance, • Paid time off, • Vision insurance, • Design robust and scalable data system architecture to collect, process, and store large volumes of data from IoT devices., • Design and build data systems that support real-time, customer facing data applications, ensuring data integrity and efficient retrieval processes., • Design and build a data validation framework to guarantee the accuracy and consistency of data across all stages of the pipeline, ensuring reliable insights and decision-making., • Implement data architectures to continuously improve AI models through automated feedback loops and data collection processes., • Optimize data processing workflows for AIoT tasks., • Collaborate with product owners to translate data requirements into actionable data engineering solutions., • Collaborate with other engineers, product owners to solve challenging problems., • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field., • 5+ years of proven experience in data engineering, with a strong focus on data warehousing and data system architecture., • Expertise in design and build IoT data systems., • Expertise in architecting that power high-volume consumer application., • Expertise in big data and streaming technologies (Python, Java, Kafka, Spark,Spark Streaming)., • Expertise in moderen database technology (MongoDB, ElasticSearch, StarRocks, S3, Snowflake, Bigquery etc)., • Experience with data annotation tools and processes for machine learning datasets., • Familiarity with MLOps practices and tools for managing AI model lifecycles., • Knowledge about deploying systems into a production Cloud Native Environment (AWS or similar)., • Experience in Java Spring Framework is a plus, • Experience with video data handling and image processing is a plus

Job Description Join a high-performing team at Sonatus that's redefining what cars can do in the era of Software-Defined Vehicles (SDV). At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Sonatus is headquartered in Sunnyvale, California with international locations in Ireland, France, Germany, Poland, Korea, China, India, Taiwan and Japan. This is a hybrid position at our Sunnyvale location. You will report to the Chief Operating Officer. The Opportunity The Staff/Senior Staff Product Manager for AI will be responsible for defining, developing, and managing artificial intelligence products within Sonatus's automotive software ecosystem. In this role, you will drive the strategy, execution, and go-to-market plans for innovative AI-driven solutions designed to enhance vehicle capabilities and user experiences. The role requires deep familiarity with AI technologies, machine learning frameworks, product lifecycle management, and cross-functional collaboration to transform complex AI concepts into scalable automotive software solutions. The ideal candidate is an experienced product management professional passionate about leveraging AI technology to create impactful automotive solutions. You will effectively translate customer needs, market insights, and technological advancements into compelling and executable product strategies. Roles & Responsibilities • Define product vision, strategy, and roadmap for AI-driven automotive software solutions, aligning closely with business goals and market opportunities., • Conduct market research, competitor analysis, and customer feedback sessions to continuously refine product offerings., • Develop detailed product requirements, user stories, and acceptance criteria to clearly articulate the product vision to development teams., • Collaborate with engineering, design, marketing, and sales teams to deliver high-quality products on schedule., • Prioritize and maintain the product backlog, balancing short-term needs with long-term strategic goals, • Manage product lifecycle from ideation and development through launch and iterative enhancements.., • Facilitate cross-functional collaboration to ensure technical feasibility, scalability, and compliance with automotive industry standards., • Track product performance metrics, analyze data insights, and drive continuous improvement efforts based on user feedback and business outcomes., • Communicate product strategies, roadmaps, and progress to internal stakeholders, customers, and executive leadership., • 10+ years of experience with at least 5+ years of experience in product management shipping automotive software, embedded systems, IoT solutions, or cloud platforms for large enterprise customers, • Excellent communication and stakeholder management skills, able to articulate complex ideas clearly to both technical and non-technical audiences., • Strong technical foundation in AI, machine learning, NLP, conversational AI, or related areas, • Track record leading a product through the full product lifecycle, from conception to launch and through sustaining support ., • Significant experience building both UX-driven and API-driven products, • Experience working with RAG systems, agentic assistants, and both foundational LLMs and open-source language models., • Proficiency in Agile methodologies, product management tools, and data-driven decision-making processes., • Exceptional organizational and prioritization skills, capable of managing multiple projects in fast-paced, ambiguous environments. Benefits Offered: • Competitive compensation and equity program, • Health care plan (Medical, Dental & Vision), • Flexible and Dependent Care Expense program, • Retirement plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited paid time off per year, 15 paid holidays, • Complimentary lunches, snacks, and beverages during on-site working days, • Wellness benefit allowances (towards gym membership and fitness programs), • Internet reimbursement, • Computer Accessory AllowanceRecent Publications:

Job Description RTL Design Engineer Building AI chips that are hard-coded for individual model architectures. RTL Design Engineer As an RTL Engineer, you will be critical in ensuring that our AI chips operate correctly and efficiently. You will develop and implement design verification strategies for both our existing and upcoming ASIC designs. In this role, you will work closely with state-of-the-art architectures for machine learning. You do not need to have experience working with these yet, but you will be willing and able to learn quickly. You will work in a fast-paced environment with a high degree of autonomy, and be responsible for a key part of the team's success. Representative projects: • Implement a block to efficiently compute floating point math operators, • Provide feedback to the uArch team to make sure blocks meet timing and area constraints You may be a good fit if you: • At least 5 years of work experience in RTL development., • Experience with high-speed digital logic., • Proficiency in standard RTL design and synthesis tools, • Familiarity with verification work and writing test benches, • Are able to learn quickly about transformers and other aspects of modern artificial intelligence, • Willing to start quickly Strong candidates may also have experience with: • Experience with PCIe, Ethernet, or HBM technologies, • Familiarity with transformer models and machine learning., • Familiarity with numerical representations and functions, • Ability to program with Python or another scripting language

Job DescriptionOver 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. Who you are:You are a self-driven professional who collaborates closely with cross-functional teams to dig deep into the topic at hand, be it technical, product, process and/or organizational, and establish a repeatable and sustainable process or methodology for problem solving and continuous improvement. You are an innovative and hands-on technical “Generalist” that is either a domain expert or have working knowledge and experience in one or more of the following areas: computer networking, security, cloud-based technologies and artificial intelligence. You are comfortable in engaging with customers and partners across the globe to execute upon Extreme’s vision of AI first Extreme Platform ONE that brings secure connectivity to the Enterprise.Key Responsibilities: • Collaborate closely with Sr. leadership and Product Line Managers who are driving the Extreme Platform ONE – Networking, Security & AI portfolio, • Drive the experience lifecycle from strategy to planning through to product delivery by mapping key cross-functional dependencies, • Rapid prototyping and market testing of ideas to validate product-market fit, • Work with architecture & engineering, quality assurance, user experience, marketing and product leadership to craft novel approaches to new and current use cases, • Write clear user stories, acceptance criteria, and product documentation for technical audiences, • Ensure that the product backlog reflects scope and priorities that enable product success and program-wide objectives, • Analyze data (sales, user behavior) for actionable insights, • Understand the Extreme Networks and Extreme Platform ONE Enterprise product portfolio and it’s competitive positioning, • Articulate business value propositions as well as technical details for products and architecture alike, • Define metrics for success and the necessary instrumentation and process to enable data driven decisions at scale, • Leverage expertise to train sales, support and systems engineering and Extreme customers and partners about new products and solutions, • Ensure launch and release readiness with cross-functional organizationsRequirements:, • Experience with cloud, enterprise networks (LAN, WAN, WLAN), security and SaaS, • Working knowledge with AI/ML technologies and their practical applications to networking and security; hands-on experience with AI/ML technologies highly desirable, • Strong understanding of modern cloud ecosystems (AWS, Azure, GCP) and related tools, • Strong zero to one product experience, • 5-10 years of product ownership experience (or related cross-functional experience) in the network or security industry, • BS or MS degree in computer science, computer engineering or related discipline, • Business degree or background highly desirable

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities • Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve Computer Vision algorithms to work with other models such as LLMs, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience., • Preferred: PhD or equivalent research experience in Computer VisionProfessional Experience - Minimum, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Knowledge of modern deep learning techniques and Generative AI for photography, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job Description Join a high-performing team at Sonatus that's redefining what cars can do in the era of Software-Defined Vehicles (SDV). At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. The Opportunity We are seeking an experienced Senior Director of Field Application Engineering (FAE) to lead our global team of technical experts supporting automotive customers worldwide. This role is critical in bridging our customers' engineering needs with our internal product and technology teams, ensuring successful integration of our advanced software and AI solutions into next-generation vehicles and platforms. The ideal candidate is a proven technical leader with deep automotive industry knowledge, a strong background in embedded software, and a passion for helping customers deploy transformative technologies in production environments. This role reports directly to the Chief Revenue Officer and includes a variable component in addition to the base salary. Roles & ResponsibilitiesLeadership & Management • Lead, mentor, and grow a global team of Field Application Engineers supporting OEMs, Tier-1s, and ecosystem partners., • Define and execute the FAE organization's strategy, ensuring alignment with corporate objectives and customer success goals., • Establish best practices for technical engagement, knowledge sharing, and continuous improvement across regional teams.Customer & Partner Engagement, • Serve as the primary technical liaison between customer engineering organizations and internal product and R&D teams., • Drive customer success through proactive engagement, architecture guidance, and technical issue resolution., • Build strong relationships with engineering leaders at key automotive customers, understanding their roadmaps, challenges, and requirements., • Represent the company's technical capabilities in executive-level discussions, technical workshops, and design reviews.Product & Technology Collaboration, • Provide structured feedback from the field to influence product roadmaps, feature prioritization, and long-term technology strategy., • Collaborate closely with product management, software engineering, and AI research teams to ensure customer requirements are translated into robust, scalable solutions., • Identify gaps in product capabilities and coordinate with internal teams to develop enablement tools, reference designs, and documentation.Operational Excellence, • Develop and monitor key performance indicators (KPIs) for global FAE effectiveness and customer satisfaction., • Oversee technical training programs to ensure the FAE organization stays current with evolving software, AI, and automotive standards., • Champion a customer-centric, data-driven approach to support planning and resource allocation.Required Qualifications, • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field., • Minimum 15 years of experience in the automotive or embedded software industry, including leadership roles in technical customer-facing organizations., • Deep understanding of automotive software stacks, including AUTOSAR, functional safety (ISO 26262), cybersecurity, and real-time embedded systems., • Proven success leading global technical teams in complex customer environments., • Strong experience working with OEMs, Tier-1 suppliers, and semiconductor partners., • Excellent communication and executive presence, with the ability to translate complex technical concepts into strategic discussions.Preferred Qualifications, • Experience with AI, machine learning, or computer vision technologies applied to automotive use cases (ADAS, autonomous driving, predictive maintenance, etc.)., • Familiarity with cloud-connected vehicle architectures and edge AI deployment., • MBA or equivalent business experience a plus. Benefits Offered: • Competitive compensation and equity program, • Health care plan (Medical, Dental & Vision), • Flexible and Dependent Care Expense program, • Retirement plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited paid time off per year, 15 paid holidays, • Complimentary lunches, snacks, and beverages during on-site working days, • Wellness benefit allowances (towards gym membership and fitness programs), • Internet reimbursement, • Departmental team building and outings, • Employee Referral Program

Job DescriptionAbout Meshy Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1. Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding. Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models. Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations. About the RoleWe are looking for an experienced Senior B2B Marketer to join the Meshy.ai team and help expand our brand presence, drive sales growth, and deepen our market penetration in the gaming and 3D industries. You will be responsible for developing and executing our B2B marketing strategy, with a strong emphasis on close collaboration with the Sales team to attract and retain high-quality clients. The ideal candidate will have strategic thinking, excellent communication skills, and experience in the gaming or 3D industries.What You'll Do: • Develop and implement B2B marketing strategies to enhance brand awareness and drive market share growth, particularly within the gaming and 3D industries., • Collaborate closely with the Sales team to align marketing strategies with sales goals, providing the necessary content, collateral, and insights to support lead generation and conversion., • Create targeted marketing materials that empower the Sales team to engage prospects effectively and move them through the sales funnel., • Conduct market research to identify customer needs, competitive trends, and new opportunities, helping to inform both marketing and sales strategies., • Monitor and optimize the effectiveness of marketing efforts in collaboration with the Sales team, adjusting strategies to improve lead quality and sales performance., • Working in a startup environment is essential, where both strategic thinking and hands-on execution are required to drive success.What We're looking for:, • Minimum 5 years of B2B marketing experience, with a preference for candidates with experience in the gaming or 3D industries., • Strong understanding of 3D modeling, game development tools, or 3D printing, with the ability to craft marketing messages that resonate with the target audience., • Proven ability to collaborate effectively with Sales teams, ensuring smooth communication and the creation of materials that drive conversions., • Strong team player with the ability to collaborate effectively in cross-functional environments., • Self-driven, with the ability to work independently in a fast-paced, evolving environment., • Familiarity with AI and machine learning technologies, with the ability to translate complex technical concepts into compelling marketing messages.What You'll gain:, • Exciting opportunities at the forefront of the gaming and 3D industries., • A fast-growing innovative company environment that supports career development and growth., • Competitive salary and benefits package.If you're passionate about B2B marketing and have a background in the gaming or 3D industry, and enjoy working closely with sales teams to drive results, we'd love to have you on our team!Our Values, • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry., • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward., • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage., • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.Why Join Meshy?, • Competitive salary, equity, and benefits package., • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology., • Flexible work environment, with options for remote and on-site work., • Opportunities for fast professional growth and development., • An inclusive culture that values creativity, innovation, and collaboration., • Unlimited, flexible time off.Benefits, • Stock options available for core team members., • Comprehensive health, dental, and vision insurance.

Job DescriptionAtomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital—but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler™ technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device—made possible only through the Matter Compiler™ technology platform—that we will be unveiling to the world soon.Our offices are in Emeryville and Santa Clara, California.About The Role: We are seeking a highly skilled Mechanical Engineer to shape the foundation of our manufacturing platform. In this role, you will build groundbreaking systems, from the cutting edge of precision manipulation to the limit of fabrication process physics, for our novel Real-Time Micro-Manufacturing platform, the Matter Compiler. This is an opportunity to work closely with cross-functional teams early in the product development cycle, collaborating with experts in mechanical design, electrical engineering, vision systems, robotics controls, and manufacturing engineering. You will be part of a fast-paced, hands-on environment, gaining deep multidisciplinary experience while directly influencing the future of scalable, high-precision automation. The Mechanical Engineering team is at the forefront of designing and developing state-of-the-art hardware solutions through the entire lifecycle of product development – from conceptualization, harnessing process physics – to deployment, ensuring our innovative designs meet practical, real-world needs. Our engineers, guided by seasoned leadership, are deeply involved in all aspects of product development across a multitude of technical domains, through cross-functional collaboration, continuous refinement of our engineering processes, and upholding high standards in mechanical design to usher forward the next major step change in manufacturing. If you're excited about pushing the boundaries of robotics and eager to have a high-impact role in an early-stage startup, we'd love to hear from you! What You'll Do: • Design, develop, and qualify complex systems automating process technologies such as physical vapor deposition, vacuum material handling, laser micromachining, electrochemical, fluid handling and dispense, bonding and joining, precision pick and place robotics, conveyance systems, mechanisms, end effectors, robotic axes, and systems that fit into a modular robotic manufacturing platform., • Work with a cross-functional team of highly experienced mechanical, software, electrical, process and materials engineers; managing projects, risks, and shaping our technology development path to develop control algorithms, machine vision approaches, and closed-loop inspection and metrology functionalities., • Be a pillar for engineering excellence with concise documentation in CAD models, BOMs (bill of materials), detailed drawings, and technical design documentation, analytical models, guided by strong engineering decision making to enable a detailed understanding of machine performance., • Drive your work through rapid learning loops leveraging our in-house Lab, Fab, and Machine Shop., • Work with experts from other teams to ensure systems are performant while being efficient, operable, and reliable; challenging assumptions and building strong professional relationships.What You'll Need:, • A first-principles mindset – you question assumptions, reframe problems from the ground up, and approach challenges with a foundational understanding rather than relying solely on precedent., • 3+ years of experience designing complex multi-physics precision mechanical systems., • Expertise in mechanical design principles, engineering fundamentals, and significant experience with CAD tools for detailed drafting and modeling., • Demonstrated expertise in one or more disciplines and the ability to learn across the following engineering disciplines: precision engineering, machine design, mechanisms, thermal, vacuum, fluids, optics, electromagnetics, sensors, and materials., • Self-guided learning with the ability to rapidly ascend learning curves with minimal direction. While the Mechanical Engineering team includes highly experienced engineers, success in this role requires curiosity, initiative, and adaptability., • Receptiveness to feedback – the ideal candidate actively seeks feedback, both from colleagues and hands-on experimentation., • Team-oriented mindset with a focus on collective success. Willingness to take on varied tasks, including less glamorous but necessary work to drive the team forward., • A maker mentality with strong hands-on background in fabrication, machining, and prototyping with an intuitive understanding of material behavior and manufacturing processes., • Strong written and verbal communication skills, including the ability to clearly convey complex technical ideas and document designs effectively., • Proactive and self-driven – A self-starter who takes initiative and follows through to completion., • Minimum B.S. in Mechanical Engineering (or equivalent experience).Bonus Points For:

Job Description Join a high-performing team at Sonatus that's redefining what cars can do in the era of Software-Defined Vehicles (SDV). At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. The Opportunity: We're looking for a highly skilled and experienced Staff AI Engineer with domain expertise in optimizing AI models for production Edge environments. You'll own the full lifecycle of model inference and hardware acceleration, from initial optimization to large-scale deployment. In this role, you will be a key contributor to our team, ensuring our AI solutions are not just functional but also incredibly fast, efficient, and reliable on various inference hardware platforms. Role and Responsibilities: • Design, build, and maintain robust pipelines and runtime environments for deploying and serving machine learning models at the Edge. Ensure high availability, low latency, and efficient resource utilization for inference at scale., • Collaborate with researchers and hardware engineers to optimize models for performance, latency, and power consumption on specific hardware, including GPUs, TPUs, NPUs, and FPGAs. This includes a strong focus on inference optimization techniques like quantization, pruning, and knowledge distillation., • Use of AI compilers and specialized software stacks (e.g., TensorRT, OpenVINO, TVM) to accelerate model execution, ensuring models are compiled and optimized for peak performance on target hardware., • Design, build, and maintain MLOps pipelines for deploying models to various edge devices (e.g., highly integrated vehicle compute), with a specific focus on performance and efficiency constraints., • Implement and maintain monitoring and alerting systems to track model performance, data drift, and overall model health in production., • Work with cloud platforms and on-device environments to provision and manage the necessary infrastructure for scalable and reliable model serving., • Proactively identify and resolve issues related to model performance, deployment failures, and data discrepancies, with a specific focus on inference bottlenecks., • Work closely with Machine Learning Engineers, Software Engineers, and Product Managers to bring models from design to high-performance production systems.Qualifications:, • Minimum 7 years of work experience in MLOps or a similar role with a strong focus on high-performance machine learning systems., • Proven experience with inference optimization techniques such as quantization (INT8, FP16), pruning, and model distillation., • Deep hands-on experience with hardware acceleration for machine learning, including familiarity with GPUs, TPUs, NPUs and related software ecosystems., • Strong experience with AI compilers and runtime environments like TensorRT, OpenVINO, and TVM., • Proven experience deploying and managing ML models on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, NXP, Renesas)., • Strong experience in designing and building distributed systems. Proficiency with inter-process communication protocols like gRPC, message queuing systems like MQTT, and efficient data handling techniques such as buffering and callbacks., • Hands-on experience with popular ML frameworks such as PyTorch, TensorFlow, TFLite, and ONNX., • Proficiency in programming languages, including Python and C++., • Solid understanding of machine learning concepts, the ML development lifecycle, and the challenges of deploying models at scale., • Proficiency with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure)., • Expertise in CI/CD principles and tools applied to machine learning workflows., • Stock option plan, • Health care plan (Medical, Dental & Vision), • Retirement plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited paid time off (Vacation, Sick & Public Holidays), • Family leave (Maternity, Paternity), • Flexible work arrangements

Job DescriptionSalary: $110,000 to $200,000 DSP System Architect We are seeking a DSP System Architect to optimize digital signal processing (DSP) architectures for high-speed SerDes (Serializer/Deserializer) transceivers. This role defines system-level architecture, algorithms, and performance needs. The architect will work closely with cross-functional teams to debug, analyze data and bring SerDes solutions to market. Key Responsibilities • Collaborate with analog, digital, and mixed-signal design teams to implement DSP solutions., • Collaborate with application and firmware team participate in silicon bring-up and debugging by analyzing data and provide guidance on test plans for lab characterization and verification, • Assist customers on system-level performance and algorithmic issues., • Define and design DSP architectures for high-speed SerDes and optical transceivers., • Develop and maintain end-to-end system models using tools like MATLAB, Simulink, C, and/or Python., • Design and simulate DSP algorithms for signal processing in high-speed links, including equalization, timing recovery, and error correction (FEC)., • Perform research and development activities to advance DSP for SerDes and optical channels., • Develop and perform behavioral modeling of mixed-signal circuit designs for transceivers. Basic Qualifications • Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related field., • 0-7+ years of experience in DSP system architecture and algorithm development for high-speed SerDes or communication systems., • Understanding of digital communication and signal processing theory, including:, • Channel equalization techniques (e.g., FFE, DFE), • Timing recovery and CDR (Clock and Data Recovery) architectures, • Detection and estimation theory, • Adaptive algorithms and system identification, • Proficiency in communication system modeling using tools like MATLAB, Simulink, C, and/or Python., • Experience with high-speed serial data protocols (e.g., NRZ, PAM4) and relevant industry standards., • Familiarity with mixed-signal circuit design concepts and their impact on DSP performance., • Experience in guiding and testing the transfer of algorithms from high-level models to RTL implementation., • Communication, problem-solving, and collaboration skills. Preferred Skills: • Experience with advanced modulation formats (e.g., PAM4)., • Experience with ADC-based wireline transceivers and/or coherent DSP architectures., • Familiarity with FEC (Forward Error Correction) techniques, such as RS or LDPC codes., • Familiarity with lab equipment for testing high-speed serial links (e.g., oscilloscopes, spectrum analyzers)., • Experience with machine learning concepts and their application in DSP., • Knowledge of analog mixed-signal circuit design concepts., • Experience in firmware or embedded software development.

Job Description Our Client A fast growing standards and insurance startup based in San Francisco, they have raised 15 million dollars in funding and are reinventing how enterprises adopt AI agents. Their two pronged model, which includes creating the industry’s first AI agent standard and pairing it with bespoke insurance coverage, gives AI companies a trusted pathway to certify their agents and reduces enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures such as hallucinations, data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence rather than fear. With deep expertise in AI risk, insurance, and standards, they are building the essential “confidence infrastructure” that will support safe AI scale up. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team. * Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage). * Design and implement the gold standard for secure, safe, and reliable AI agents. * Develop and maintain full-stack systems, including backend (Python, LangChain) and frontend (React, TypeScript) components. * Create monitoring tools, filters, and authorization frameworks to support AI agent builders. * Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment. * Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems. Qualifications * Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. * 1+ years of experience as an AI Software Engineer with active coding responsibilities. * Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team). * Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development. * Strong understanding of AI evaluation methodologies and deployment reliability standards. * Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms. * Evidence of high agency, ownership, and execution velocity (e.g., promotions in <2 years, side projects, or rapid iteration). * Can work full-time on-site in San Francisco (5 days a week).

Job Description Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. * Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. * Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. * Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. * Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. * Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. * Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. * Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications * Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. * Excellent written and verbal communication; proactive and collaborative mindset. * Comfortable in hybrid or distributed environments with strong ownership and accountability. * A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. * Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience * 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. * Expert SQL (query optimization on large datasets) and Python skills. * Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). * Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. * Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). * Bonus: Strong Node.js skills for faster onboarding and system integration. * Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Job Description Our Client Has raised seventeen million dollars in funding and is building an innovative open source visual AI platform that allows anyone to create generative workflows through an intuitive, code free interface. Their platform uses a visual node based system that enables artists, creators, and technical teams to design complex AI processes with ease. The ecosystem includes a large and growing library of community built tools and extensions, giving users the freedom to customize, experiment, and produce high quality creative work at scale. With strong engineering and AI expertise behind the product, they are shaping the future of creative technology by making powerful AI accessible, flexible, and highly adaptable for a global community of builders. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Talent and Recruitment. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CEOs, and Heads of People & Talent who are building high-performance teams, scaling hiring infrastructure, and elevating organizational capability. We take pride in facilitating conversations that align with your long-term growth trajectory in the evolving world of modern talent acquisition. Location: San Francisco, Work type: Full Time, Onsite Roles & Responsibilities * Own full cycle recruiting across engineering, design, go to market, and general and administrative roles * Build and refine the recruiting engine including interview loops, scorecards, sourcing systems, candidate experience, and applicant tracking system hygiene * Monitor funnel health such as pass through rates, time to hire, and source mix while driving ongoing improvements in both quality and speed * Partner closely with founders to plan headcount, clarify role scopes, uphold hiring standards, and maintain consistent hiring momentum * Source creatively through open source communities, GitHub, Discord, specialized technical networks, and outbound channels * Close high quality candidates by clearly communicating the company mission, growth trajectory, and equity potential * Optionally grow into a Head of Talent role by hiring and mentoring recruiters and owning end to end talent strategy Qualifications * More than 5 years of full cycle technical recruiting experience * Experience hiring across engineering, machine learning and artificial intelligence, design, go to market, and general and administrative teams * Ability to excel in fast moving early stage environments with ambiguity and rapid iteration * Hands on experience building or interest in building a recruiting function from the ground up * Strong system design mindset for recruiting including interview frameworks, process creation, and first principles thinking * Comfort working with data and speaking in terms of pass through rates, time to offer, and conversion metrics * Excellent communication skills and the ability to influence founders and hiring managers with clarity and sound judgment * Genuine interest in AI and modern creative tools * Ability to build trust across different disciplines and shift context between engineering, go to market, and operations hiring * Based in San Francisco or open to joining an in person and high velocity team culture

Job Description We are on the lookout for an innovative and driven AI Engineer. In this role, you will be responsible for designing, developing, and deploying AI models that will enhance our products and improve our services. Requirements • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • 5+ years of experience in AI/ML development., • Strong proficiency in Python, R, or Java., • Experience with machine learning libraries such as TensorFlow, Keras, or Scikit-learn., • Familiarity with data processing tools (e.g., Pandas, NumPy)., • Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure)., • Solid understanding of algorithms and data structures., • Excellent analytical skills and problem-solving capability. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job Description About SiTime SiTime Corporation is the precision timing company. Our semiconductor MEMS programmable solutions offer a rich feature set that enables customers to differentiate their products with higher performance, smaller size, lower power and better reliability. With more than 3 billion devices shipped, SiTime is changing the timing industry. For more information, visit . Job Summary The Vice President of Business Systems will lead the strategic vision, architecture, and execution of all enterprise systems that power SiTime's global operations. Reporting to the Chief Digital Officer, this role is accountable for ensuring our business systems infrastructure enables operational excellence, data-driven decision making, and scalable growth as we continue to disrupt the semiconductor timing industry. It is not necessary to meet all job requirements to be a qualified candidate for the position. Responsibilities: Enterprise Systems Leadership • Own the strategy, roadmap, and operational excellence of all enterprise business systems including ERP, CRM, PLM, SCM, HCM, and financial systems, • Drive digital transformation initiatives that enhance operational efficiency, improve user experience, and enable business agility, • Lead the evaluation, selection, implementation, and optimization of enterprise applications, • Establish governance frameworks for system integrations, data flows, and process standardization across the organization, • Partner closely with the Data and AI leads to ensure enterprise systems architecture supports advanced analytics, machine learning initiatives, and AI-powered business insights, • Establish robust data pipelines between operational systems and the data/AI platform, • Define data governance standards that balance accessibility for AI/analytics with security and compliance requirements, • Collaborate with Infrastructure and Security teams to ensure all business systems meet security, compliance, and performance standards, • Align on cloud strategy, disaster recovery, and business continuity planning, • Act as a trusted advisor to executive leadership and business stakeholders on how technology can drive business outcomes, • Translate business requirements into scalable technical solutions, • Lead business process optimization initiatives to eliminate inefficiencies and reduce manual effort, • Build a high-performing team of business systems professionals including architects, analysts, administrators, and project managers, • Foster a culture of innovation, continuous improvement, and customer service excellence, • Develop and manage the business systems annual budget and multi-year investment plans, • Demonstrate ROI for technology investments and maintain cost optimization discipline, • Balance build vs. buy decisions to maximize business value Qualifications & Requirements: Experience & Background • 12+ years of progressive IT/business systems experience with 5+ years in senior leadership roles, • Proven track record implementing and managing enterprise systems in technology companies; semiconductor or device manufacturing experience is a strong plus, • Experience leading systems integration during mergers, acquisitions, or divestitures, including due diligence assessment, system rationalization, and post-merger integration, • Deep expertise with ERP systems (Oracle preferred) with hands-on experience leading large-scale implementations and transformations, • Experience with CRM (Salesforce preferred), Product Lifecycle Management (PLM), and modern SaaS business applications, • Understanding of modern cloud architectures, APIs, integration patterns, and data management best practices, • Knowledge of security frameworks, compliance requirements (SOX, GDPR, etc.), and IT controls, • BS, MS or advanced degree in Computer Science, Information Systems, or related field, • Experience with AI/ML platforms and their integration with enterprise systems, • Background in publicly traded companies with SOX compliance experience, • International/multi-site implementation experience Desired Characteristics & Attributes: Leadership & Interpersonal Skills • Executive presence with ability to influence and build consensus across all organizational levels, • Exceptional communication skills with ability to translate technical concepts for business audiences, • Strategic thinker who can also roll up sleeves and drive tactical execution, • Demonstrated success leading through organizational change and digital transformation, • Understanding of semiconductor industry dynamics, supply chain complexity, and global operations preferred, • Experience supporting high-growth public companies with strong financial rigor, • Ability to balance competing priorities and make decisions with incomplete information The actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. SiTime compensation packages includes base salary, bonus based on achieving your innovation goals and equity. Benefits offered : 401k plan, health and wellness that includes medical, dental, vision, life, parental leave, legal services, and time off plans. SiTime is an Equal Opportunity Employer. We treat each person fairly and we do not tolerate discrimination or harassment against anyone on the basis of any protected characteristics, including race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, pregnancy, political affiliation, protected veteran status, protected genetic information, or marital status or other characteristics protected by law. SiTime participates in the E-Verify program. Learn More about SiTime: Review the Get to Know SiTime section of our career page to explore our culture, values, and what makes us unique. • Innovation on Top – Philosophies of Innovation with Rajesh Vashist, • Fabrication Knowledge – An Interview with Rajesh Vashist, • SiTime Corporation – YouTube #LI-SITIME

Job DescriptionWe are looking for an junior architect to help drive our semiconductor and circuit compiler and automated generation tools. The responsibility of this role includes building the required software toolchain to enable advanced data converters to be automatically generated, and to develop a comprehensive ecosystem that enables the quick turnaround of a variety of our core IP. Qualifications and Experience • At least 3 years working on circuit compilers for the semiconductor industry, such as memory compilers, register file and SRAM generation, and software driven circuit topology creation, • Working knowledge of analog and digital circuits, • Experienced in software toolchains that enable the creation of GDSII files from a list of high-level specifications, • Good experience in object-oriented programming such as Python, Java, C++, etc., • Good exposure to test-driven software development, • Knowledge of industry standard circuit, design, and integration tools, • Exposure to SKILL coding