Offres Engineering à Sunnyvale, CA - Page 15Create job alerts

Job Description Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a SR Engineering Technician to support our client's IPP (Infrastructure, planning, and process) quality assurance labs! This is a W-2 full-time contract position based out of Santa Clara, CA. The pay range for this role is $45/hr to 65/hr based on factors like experience, education, location, etc. We provide full benefits, PTO, and amazing company culture! In this role, you will be faced with the challenge of providing a test-bed for our developers to test software on various NVIDIA hardware before releasing them. Additionally, collaborate with Infrastructure Engineers, installing and maintaining Windows/Linux platforms and using creativity while finding solutions. We expect things to break in this lab, as the software is mostly low level device drivers, and the bugs in them do break boards and enterprise level machines. We seek to catch problems early in our labs rather than in user devices. Do you like working on technology and yearn to be challenged in a fast paced R&D environment? If this appeals to you, then this captivating role will not let you down. This is a contracted position. What you will be doing: • Handling Labs and Data Centers using DCIM Tools, spreadsheets and task tracking tools., • Your responsibilities will also include defining standards in labs to keep them safe, clean and organized., • Deploy test boards that run automated tests from Software Developers and triage and root cause board issues which are not due to hardware or software issues but, that potentially have test setup issues., • Remove and redeploy boards that need software and/or hardware upgrades from board engineers in a regular cadence., • Work closely and pro-actively with other engineering teams such as system architects, chip and board designers, software/firmware engineers, HW/SW QA teams and Applications engineering teams to drive design, development, debug and release of next generations products., • Take active part in procurement decisions for the Lab by choosing from various options available, getting test copies and doing proof of concepts and then providing recommendations., • Collect data for critical metrics for the lab and track progress. What we need to see: • Associates or Bachelors Degree in a Tech related Major or equivalent experience., • 4+ years of equivalent experience in a Lab or Datacenter environment., • Ability to perform well at work without requiring constant manager supervision., • Ability to do deploy and cable servers and test equipment., • Intermediate user level understanding of Unix/Windows, and Networking with Enterprise Switches and Routers., • System administrator level experience on Unix/windows and knowledge of scripting to automate workflows (bash/python)., • Skills to work with teammates of various abilities and experiences., • Ability to find tasks where you need help from sys-admins and communicate those, coordinate with them to integrate those solutions., • Perseverance to debug a hard problem and out of box thinking to seek solutions., • To be successful in this position, you should have a love of working with close-knit, multi-disciplinary teams, and enjoy hands-on work with innovative platforms. Ways to stand out of the crowd: • Visio and CAD experience for Lab R&D projects and Rack Management., • Lab/Datacenter Procurement Experience., • Experience with handling PDUs and Power in Labs., • Any intermediate scripting experience., • Basic knowledge of Git/Perforce to check-out, edit and check-in scripts., • Ability to write SQL queries to get data from MySQL DBs. Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Company: Work with a world-renowned Public Transportation Agency. This public agency offers career opportunities for positive and motivated team players who desire to be part of and contribute to our mission. The mission of the District is to provide safe and reliable operation, maintenance and enhancement of an iconic bridge and to provide transportation services for customers within the U.S. Highway 101 corridor. Under general direction, performs work in connection with a wide variety of engineering projects related to inspections, repairs and upgrades of District steel bridges, buildings and other structures and facilities. May manage projects involving architectural and engineering personnel engaged in the planning, design and construction phases of District facility projects. Coordinates and implements engineering methods and policies affecting a wide range of engineering activities involved in facility inspections, repairs and upgrades of District facilities; maintains contacts with architectural and engineering consultants, governmental agencies, general public and contractors in connection with facility engineering matters; reviews engineering calculations, plans, specifications and technical papers. Responsibilities: • Prepares and leads the preparation of reports, calculations, design plans, specifications, schedules, cost estimates and other materials related to the planning, design, maintenance repairs and construction phases of District facility projects and refers them to Directing Civil Engineer for final approval, • Prepares and refers to the District Engineer or designee, contract documents and agreements for the planning, design and construction phases of District facility projects, • Oversees work of and manages contracts with professional architectural and engineering consultants, contractors, utility companies, property owners, • Confers with other departments and regulatory agencies relative to engineering District facility projects and work programs to ensure proper coordination of all related activities and responsibilities, • Makes field trips and inspections to resolve differences of opinion between engineers and contractors' representatives as they relate to facility repairs and improvements, • Conducts and attends conferences and meetings in connection with planning and design of improvement and construction projects, • Makes oral presentations, • Knows and follows the safety and health rules and safe working practices applicable to his or her job, • Ensures that employees under his or her supervision follow established safe work practices and obey all safety rules, • Establishes and maintains effective working relationships with District employees, customers, vendors and all others contacted during the course of work using principles of excellent customer service, • Performs additional related duties as assigned, • Modern engineering methods and techniques and the strengths and uses of construction materials, such as timber, steel, and concrete, etc., • Local municipal codes and latest codes on UBC, fire prevention, Federal and Cal OSHA, etc., • Current energy-efficiency regulations as applicable to buildings, • Various phases of transportation engineering and systems planning, economics, and finances, • Factors which influence the impact of transportation facilities on the environment, the community, and the economy, • Principles and techniques of contract administration, • Use computers, including proficiency with spreadsheets and computer drafting, • Originate and check design details, cost estimates, plans, specifications and contract documents, • Meet and consult with professional engineering personnel and public, private and community officials on engineering problems, • Plan the work and judge work quality of others,, • Prepare technical correspondence and complete comprehensive reports, • Prepare articles for publication and address audiences effectively, • Analyze situations accurately and adopt an effective course of action Qualifications: • Bachelor's degree in Civil Engineering or closely related field, • Licensed Professional Engineer California, • 8 years' progressively responsible experience in design, estimating, specification preparation, contract preparation, related phases of engineering and inspection of construction projects, including five years of lead person experience over construction and/or facility condition inspections., • Must possess and maintain a current, valid California driver's license and satisfactory driving record. No reckless driving and DUI infractions within the last 7 years. No more than 2 moving violations within the last 3 years. May operate District vehicles. Physical Requirements: Must inspect construction work, other structures and buildings, climb scaffolds, catwalks and ladders. Work from heights. Work outside in all weather conditions. Work over water. Carry harness and test or inspection equipment. Occasionally enter into trenches and other excavations. Vision to read printed materials and a computer screen. Hearing and speech to communicate in person and over the telephone. Routine use of computer, telephone and other office equipment. Ability to travel to District facilities.

Position Overview We are seeking an experienced Project Manager to oversee heavy civil construction projects from planning through completion. This role ensures projects are delivered on time, within budget, and to quality standards while maintaining strong client relationships and a safe work environment. Key Responsibilities • Manage and coordinate all phases of assigned construction projects., • Ensure compliance with project specifications, budget, and schedule., • Oversee project teams, including Superintendents, Foremen, and Engineers., • Monitor financial performance, including contracts, invoices, and cost controls., • Build and maintain strong relationships with clients, contractors, and stakeholders., • Enforce safety policies and foster a culture of zero incidents., • Provide leadership, coaching, and mentoring to project staff., • Proven experience managing heavy civil construction projects., • Strong knowledge of Caltrans standards and specifications, including grading, paving, and bridge construction., • Excellent leadership, organizational, and communication skills., • Ability to manage budgets, schedules, and multiple priorities.

Senior Project Manager required by Global Real Estate firm in San Jose Your new company Our partnership client, an established global leader in Real Estate services, is seeking an experienced and driven Senior Project Manager to join a dynamic team overseeing a diverse portfolio of commercial CAPEX infrastructure construction projects in the Bay Area. This is a unique opportunity to play a critical role in delivering complex, high-value CAPEX builds across multiple industries, including Healthcare, Biotech, education & Tech. Your new role • Lead end-to-end project execution from preconstruction through closeout, • Develop and present proposals, estimates, and schedules with full accountability for scope, budget, and timeline, • Manage subcontractor selection, contract negotiations, and on-site performance, • Oversee financial tracking, billing, cost reconciliation, and change management, • Coordinate closely with clients, consultants, and contractors to ensure delivery excellence, • Build strong client relationships and pursue new project leads to help grow the business, • Dedicate significant time to on-site oversight, ensuring top-tier quality and compliance What you'll need to succeed • 8–10+ years of commercial construction project management experience in the Bay Area, • Proven success managing projects ranging from $500K to $10M in sectors like life sciences, healthcare, or education, • Hands-on expertise in estimating, buyouts, contract administration, and financial controls., • Confident self-starter who thrives in fast-paced, high-responsibility roles with limited admin support., • Strong communication, presentation, and interpersonal skills are a must., • Engineering degree preferred; equivalent industry experience accepted, • MEP commissioning experience highly attractive What you'll get in return • Compensation is up to $200,000, commensurate with experience, plus a competitive benefits package, • Lead marquee, high-impact projects shaping the future of Bay Area real estate and infrastructure, • Work autonomously within a collaborative and visionary team backed by a global industry leader, • Enjoy direct access to premium clients and exciting sectors like life sciences, healthcare, and tech, • Fast track your career with clear growth opportunities and meaningful leadership responsibilities What you need to do now If you’re ready to take the next step in your construction project management career, submit your resume or reach out for a confidential discussion.

Golden Arrow Technology America is seeking a high energy, experienced business development professional with a passion for success in business and sustainable packaging products. The ideal candidate directly responsible for working with US customers, development, and cost analysis of innovative protective packaging products to meet customers' needs. Works closely with company's and customers' engineering, production, and purchasing departments to determine costs and feasibility of producing proposed packaging, structural integrity, cost reduction, and utilization of green products. The on-site position is in the South Bay Area of CA. JOB RESPONSIBILITIES: • Analyzes 3D / 2D packaging drawings and specifications of packaging design with packaging development programs to determine Manufacturability, physical characteristics, manufacturing processes, special-handling and safety testing requirements, and formulation of materials required to meet customer needs., • Communicates design specs and projects status with customers and internal function teams to facilitate sales of packaging solutions and program management goal among US and Asia team. Fluency in English and Mandarin is very important (verbal and written)., • Tests, analyzes, and selects materials for packaging based on cosmetic quality, durability and cost effectiveness., • Work cross-functionally to lead the development and establishment of production processes, execution of Design of Experiments, and management of the build cycles production quality., • Performs product testing, failure analysis, and determines root cause of failure and provides corresponding corrective action (FACA report). Collects and review FAI and Cpk data from tests and trial builds, and uses statistical tools for data analysis., • Tracks operational performance efficiency (OEE) and ensure smooth ramp for mass production to meet customer expectation., • Driving continuous improvement for cost savings of packaging to ensure cost reduction terms of contract are met with Business team., • Develops strong customer relationships and delivers high quality customer service to customers., • Communicates customer issues to management and national accounts representative quickly and works collaboratively to resolve problems., • Provides program / product related reports as scheduled or requested. JOB REQUIREMENTS: • Minimum of 5 years of relevant work experience in consumer packaging industry responsible for packaging engineering and/or program management., • US citizen or resident with legal working authorization located in SF Bay Area, • Fluency in English is a must in both verbal and written skill, and above working-proficient level of Mandarin communication skill is required, • Bachelor's degree in packaging engineering, mechanical or structural engineering or equivalent; Master degree is a plus, • Experience in all aspects of packaging, corrugated, and packaging materials (foam, flexible packaging, etc.), • Professional experience in SolidWorks, Artios, Adobe tools, JMP or similar packaging validation design programs, • Ability to create and edit documents & proposals in MS Office: Word, Excel and PowerPoint, • Ability to identify issues and communicate with team and management clearly and effectively. How You Will Be Successful: • Challenges standard practices and applies innovative ideas to generate new opportunities, • Maintains a strong understanding of customer wants and needs to find solutions to customer challenges, • Collaborates and builds rapport across internal teams and external clients, • Demonstrates flexibility and teamwork, • Displays ability to leverage organization and industry knowledge Golden Arrow America is a sustainable packaging solution provider specializing in environmentally friendly molded fiber pulp packaging & printing product design and manufacturing. We are a Leading Green Packaging Technology Company in sustainable packaging since 1984. We produce premium sustainable packaging solutions and molded fiber products for protective packaging requirements in a wide range of applications. We also provide end-to-end customer support with program management, design, assembly/kitting, and logistics. GA America has office located in Saratoga, California and has design and manufacturing centers in Shanghai, Hanoi, Taipei, and Chongqing. For more information about GA, please visit our website :

Company: We provides high quality Construction Management, Land Surveying, and Systems Integration services to public and private clients. With a spirit of cooperation and partnership, we focus on responsiveness, delivering value, and meeting and exceeding our clients’ expectations. We are a fast-growing consulting firm with significant opportunities for upward mobility. We support professional development and continuing education. Fun, flexible work environment and competitive compensation and benefits. Please send your resume with detailed experience. Include job references for past employment and experience. Responsibilities: Our Systems Integration team is looking to expand and has a role available for an experienced Senior Systems Engineer, based in Oakland, CA, and regularly attending a project office for a major transportation project in San Francisco, CA. Systems integration is an interdisciplinary field of engineering and engineering management that focuses on how to design, integrate, and manage complex systems to ensure they meet the technical and performance requirements and can be demonstrated as safe and ready to operate. The role is responsible for managing and providing oversight of systems engineering activities on a train control project. The successful candidate will work directly with the client and must be flexible to adapt to the client’s needs as the project progresses. Qualifications: • Minimum 7 (seven) years of experience in systems engineering efforts on rail systems project(s), including one or more of:, • Rail systems design, • Implementing systems engineering processes (requirements management, interface management, verification and validation, RAMS, etc.), • Project management, • Development of management plans, • Engaging directly with client points of contact, • Certification as INCOSE SEP is preferred., • Certification as PMP is preferred., • Familiarity with requirements management tools is preferred., • Pass a pre-employment drug screening.

Job Description Field Service Apprentice Reports To: Service Director The Field Service Apprentice is responsible for learning the skills required to assist in the diagnosis, repair and calibration of complex cascade refrigeration and electrical systems on Weiss Technik environmental test chambers. During this time the Apprentice will work alongside production and other required departments to complete the required training through the production of Test Chambers. Once training requirements are completed you will have the opportunity to be independently deployed as a Field Service Technician and be assigned to a territory within the United States that will require travel up to 50% of the scheduled work time per year. The Field Service Apprentice will train between Weiss Technik North America's Cincinnati, OH facility and the corporate office located in Grand Rapids, MI, for a period of up to 12 months based on training achievements. Upon completion of this program , you will be provided with a certificate of completion specific to Weiss Technik North America, Inc. as this is an apprenticeship program designed and implemented by Weiss Technik North America, Inc. and not a state agency. Job Purpose/Authority Statement The Job Title listed empowers the Incumbent with the authority to execute all duties and responsibility listed below. In the event of a conflict of authority, the Incumbent shall elevate to direct supervisor for resolution. Duties and Responsibilities • Complete Career Path training program to assist in the diagnosis, repair and calibration of complex cascade refrigeration and electrical systems on Weiss Technik environmental test chambers. Installation and maintenance of environmental test chambers and usage of hand and power tools, refrigeration gauges and evacuators, • Successful completion of training checklist every 90 days and receive feedback on completion of training to establish training goals., • Maintain a clean and orderly work space., • Maintain and organize fully operation service vehicle., • Turn in job expenses weekly or bi-weekly fashion for job costing purposes and have company related credit cards paid in a timely fashion and without penalty fees., • Keep, properly maintain, and turn in calibration equipment at required intervals., • Learn how to maintain high level of focus on customer satisfaction., • Assist with installs and services those who extensive knowledge of refrigeration, electrical, controllers, hydraulics, calibrators, pneumatics. Provides telephone technical assistance as required., • Travels throughout North America and Worldwide when required., • Assist with training sessions at Service Seminars or at customer facilities., • Interacts with engineering and manufacturing Dept regarding in-house and field equipment failures., • Documents field trips and properly records paperwork., • Capable of reading and understanding test reports and prioritizing workloads. Must be capable of driving a forklift. Knowledge of electrical safety policies, including lock-out/tag-out, and EPA refrigeration certification., • Train to have a working knowledge of CRM database and Visual Manufacturing to review and enter data., • Train to have a working knowledge of computer systems, e.g. Industrial Engineering drives, latest version of Windows OS, MS Outlook, and Word, Excel., • Train how to operate vacuum pumps, PID controls, and work with low voltages. Qualifications • Employee must be able to perform simple math functions, • Have the ability to accurately use measuring instruments, • Be willing to provide basic tools required for the position, • Be willing to train as required and possess the ability to understand shop pick lists and travel related to job and accurately report time to job assignments., • Must be capable of reading and understanding SOP’s and FDA/GMP’s and willing to work in an office environment or travel up to 2 weeks per month as required., • High School Diploma/GED or comparable experience required., • Must be able to follow direction, • Work in a fast paced environment, • Work cohesively with others, and learn to communicate effectively with customers., • Training expected to last up to two years.

Job DescriptionSalary: 70.54 Location: Santa Clara County, CA Company: One Day Installation & Repairs Inc. (ODIR) Employment Type: Full-time (30+ hours per week) Union Affiliation: Operating Engineers Local 39 (Membership Required) About Us: One Day Installation & Repairs Inc. (ODIR) is a trusted general contractor with over 20 years of experience, specializing in electrical repairs, carpentry, casework, and maintenance services for municipal entities, universities, hospitals, and transit authorities. We are signatory to multiple unions, including Local 39, and committed to providing high-quality service across multiple sites. Position Summary: One Day Installation & Repairs, Inc. is seeking a skilled Operating Engineer - Electrician to perform electrical maintenance, repairs, and troubleshooting across various municipal and transit-related facilities, including an ongoing contract for air compressor maintenance with the Santa Clara VTA. The position involves both indoor and outdoor work across multiple locations throughout Santa Clara County, requiring adaptability and a strong electrical background. Training will be provided for the maintenance and repair of Champion Screw compressors. Essential Functions / Key Responsibilities: • Perform electrical repairs and maintenance on various systems and equipment, • Conduct inspections, troubleshooting, and preventative maintenance for air compressors and related electrical components Work across multiple sites to ensure a timely response to service needs • Read and interpret electrical diagrams, blueprints, and technical manuals, • Maintain compliance with safety standards, codes, and company policies, • Collaborate with other tradespeople and site personnel to complete projects efficiently, • Will need to learn and utilize Procore software for all jobs, • Must be able to lift at least 50 lbs. Qualifications: • Training and Experience Note: The required knowledge and abilities are attained through training and experience equivalent to high school graduation and at least three (3) years of experience in performing maintenance and electrical repairs, • Valid CA General Electrician Certification (preferred), • Experience in electrical maintenance and repair, preferably in municipal or transit environments, • Strong knowledge of electrical systems, troubleshooting techniques, and safety protocols, • Ability to work independently and manage multiple job sites, • Must be a member of Operating Engineers Local 39 in good standing or willing to join upon hire., • Valid drivers license and reliable transportation Overtime, Weekend Availability, holidays, travel required Salary: * $70.54/hr. based on experience Job Type: * 30+ hours weekly Benefits:

Specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian world, such as electrical engineering and telecommunications.

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. Director of Engineering Recruiting The Director of Engineering Recruiting is a strategic leader responsible for scaling Coreweave's technical organization. This role is ideal for a seasoned recruiting professional with a deep understanding of engineering hiring, who thrives in high-growth environments and knows how to lead with both data and heart. You'll build and execute recruiting strategies, lead a high-performing team, and partner closely with engineering leadership to attract and retain top-tier technical talent. Core Responsibilities 1. Strategic Talent Acquisition * Own and evolve Coreweave's engineering hiring strategy across multiple functions and levels. * Forecast and prioritize hiring needs in partnership with Engineering, Product, and People leadership. * Use market intelligence, compensation trends, and competitor insights to drive results. 2. Executive-Level Recruiting * Lead full-cycle recruitment for senior professional, director, and executive-level engineering roles. * Personally source and close high-impact technical leaders and niche technical talent. * Champion a world-class candidate experience from first touch to onboarding. 3. Cross-Functional Collaboration * Serve as a strategic advisor to senior leaders, aligning recruiting with business goals. * Partner with HR, People Ops, and DEI to build inclusive, high-performing teams. * Communicate hiring trends, pipeline health, and strategy updates to key stakeholders. 4. Operational Excellence & Data-Driven Decision Making * Leverage analytics to improve pipeline conversion rates, time-to-fill, and quality of hire. * Optimize tools, workflows, and interview frameworks to drive efficiency and scalability. * Evaluate and implement sourcing automation and ATS enhancements. 5. Team Leadership & Development * Build, coach, and scale a team of high-performing technical recruiters. * Create a collaborative, metrics-driven recruiting culture centered on excellence and learning. * Lead by example in candidate engagement, storytelling, and stakeholder partnership. Key Qualifications & Skills Experience * 10+ years of technical recruiting experience, including 5+ years in a leadership role. * Proven success hiring for senior and executive engineering roles in fast-paced, scaling environments. * Experience in startups, scaling (300+ hires a year), and cloud/infrastructure tech a plus. Expertise * Deep knowledge of engineering org structures, technologies, and role nuances. * Mastery of sourcing tools (e.g., LinkedIn Recruiter, Github, Gem) and ATS platforms (e.g., Greenhouse). * Skilled in recruiting analytics, reporting, and optimization for hiring at scale. * Executive presence and ability to influence senior leaders. * Excellent negotiation and closing skills in competitive markets. Success Metrics & KPIs * Time-to-fill and time-to-hire * Pipeline conversion rates and sourcing channel performance * Offer acceptance rate and candidate experience scores * Engineering diversity hiring outcomes * Hiring manager satisfaction and partner feedback A Director of Engineering Recruiting at Coreweave isn't just here to fill roles—they're building the team that builds the future. If you're passionate about building elite engineering organizations and love leading through both strategy and execution, we'd love to talk. The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Inclusion Lab is committed to open, unrestricted research on cutting-edge robotics technology and strives to open-source all of its work to the public for the benefit of research communities world-wide. The research scope includes but not limited to the following directions: ·Embodied perception, e.g., SLAM and 3D visual grounding ·Real-to-Sim world foundation models ·General and real-scene simulators ·Sim-to-Real adaptation, e.g., task and action planning ·Deep reinforcement learning We are looking for self-motivated, top-notch researchers to join us! ·Passion to conduct innovative and hands-on research on robotics; ·A strong track record on publishing in prestigious conferences or journals; ·Ph.D or Master degree in Robotics, Computer Science or Electrical Engineering, or a related field; ·Experience in maintaining impactful open-source projects is a plus. We foster an inclusive culture that values creativity, collaboration, and lifelong learning. Inclusion Lab is an equal opportunity employer and sponsors H-1B visas and green card petition.

FranklinWH is a rapidly expanding company determined to become the leader in the global energy home storage system (ESS) industry. FranklinWH offers whole-home energy solutions typically coupled with solar PV systems, bringing households into the modern all-electric future. Though founded by experts in power electronics, BMS and EMS, FranklinWH is equally focused on energy management software while also providing top-level service to our partners and customers. FranklinWH is expanding its global footprint, relying on an industry-leading supply chain. This is an exciting time to be at a fast-growing company in a fast-accelerating industry. Position Overview: We are excited to offer a full-time internship / new grads opportunity for ambitious and motivated individuals looking for a fresh start and to grow in presenting and promoting the company’s products and solutions. This role will provide hands-on involvement in real-world projects, mentorship from industry professionals, and exposure to the renewable energy and energy storage industries. This position is based in California, offering a unique opportunity to work with a dynamic team at our corporate office and lab located in the Bay Area. As part of our innovative company, you’ll gain hands-on experience in a fast-paced, industry-leading environment, contributing to projects that impact the future of renewable energy and electrical systems. If hired as an intern, the candidate could be converted to a full-time employee, subject to candidate availability and business needs. This is an excellent opportunity for someone eager to learn, contribute, and grow professionally. Key Responsibilities: • Support the R&D, Sales, Product, and Marketing teams with basic research and administrative tasks., • Assist in updating and organizing product documentation., • Conduct introductory market research on emerging energy technologies and trends. Inform product definition and roadmap., • Help create engaging and visually appealing slide decks for presentations., • Assist in gathering feedback on product issues and compiling insights., • Support event planning and logistics for industry shows and company events., • Ensure adherence to company policies and guidelines., • Perform other assigned tasks and projects as needed. Qualifications: • Currently a recent graduate with a bachelor's degree in Electrical Engineering, Energy Engineering, Mechanical Engineering, Computer Engineering, or a related field., • Demonstrated interest in the solar or electrical industries through academic coursework, personal projects, internships, or extracurricular involvement. Interest in behind-the-meter systems and distributed energy resources (DERs) is a plus., • Genuine passion for renewable energy, innovation, and sustainability., • Strong communication and teamwork skills, with the ability to collaborate effectively across disciplines., • Self-motivated, proactive, and eager to learn., • Excellent time management skills and the ability to meet deadlines in a dynamic environment., • Dedicated and results-driven, with a willingness to go the extra mile to ensure high-quality work. Preferred Skills: (Not required but appreciated) • Basic understanding or interest in analog circuits and AC/DC conversion, • Computer engineering and programming with Python and cloud computing, • Experience with firmware or electrical testing equipment, • Previous internships or volunteer experience in a related field., • Creative problem-solving and critical thinking skills. What We Offer: • Hands-on experience working with electrical systems, conducting tests, and supporting technical projects in the solar industry., • Mentorship from seasoned professionals in the field., • A positive, inclusive, and dynamic work environment., • Competitive compensation based on experience and industry standards. FranklinWH is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

Title: Project Coordinator III Duration: 3 Months Location: Cupertino, CA 95014 Hybrid (Tues-Thurs onsite, Mon/Fri remote) Enable procurement automation initiatives by facilitating requirements gathering and documenting end-to-end business processes, ensuring alignment between business stakeholders and technical teams. Key Responsibilities Process Documentation • Assist business users translate procurement workflows into clear process maps and documentation of steps, inputs/outputs, and exceptions., • Facilitate working sessions with business stakeholders to capture business needs and assist in translation into detailed requirement documents., • Act as a bridge between procurement business users and technical teams, • Guide business stakeholders—who may be new to detailed requirements writing—through structured conversations and documentation practices., • At least 5+ years of procurement knowledge or experience, sufficient to understand high-level procurement activities (vendor management, negotiations, cross-functional approvals), • Strong experience in process mapping and business requirements documentation., • Demonstrated ability to facilitate stakeholder workshops and achieve alignment across diverse groups., • Excellent written and verbal communication skills, with the ability to translate business needs into clear technical requirements. Attributes for Success • Skilled facilitator who can manage and guide stakeholders without heavy pushback, • Detail-oriented documenter who can ensure capturing of end-to-end processes with clarity., • Strong communicator who builds trust with both business and technical teams.

Title : Technical Writer I Location : San Jose, CA 95134 (Hybrid) Duration : 03+ Months Contract Pay Rate : $53.74/Hr. on W2 Shift : Morning shift 9am-5pm with 1 hour lunch Hybrid Schedule:- Tuesdays and Thursdays are required, the third day can be selected by employee. This position is part of company’s Robotics Automation Human Factors team, reporting to the Human Factors lead. Company’s Robotics Automation aims for incredibly easy-to-use applications and interfaces, and one arm of this effort is excellent documentation for end users. The other critical aspect of efficient deployment and operational success is maintaining a Knowledge Base and Help Center for both internal and external users. Both of these initiatives will include working with roboticists, optimization experts, UI engineers, deployment teams, and many other SMEs to gather information, and leveraging new technologies to deliver innovative and intuitive knowledge experiences. Responsibilities: 1. Develop and write technical content including workflow descriptions, installation procedures, operating instructions, maintenance and troubleshooting information., 2. Conduct interviews with SMEs to gather data for content. Responsible for handling multiple projects simultaneously across a variety of topics to be documented., 3. Coordinate, manage and control documentation and training material development projects and deliverables, working with designers and infrastructure team for publishing when needed., 4. Define audiences and work with managers to identify and organize content on the same topic for those various user roles. Qualifications: 1. Excellent writing skills with the ability to translate highly technical information into clear, concise language for internal and external users., 2. Excellent interpersonal skills necessary to communicate with engineering, marketing, SMEs and external team members to learn specifics to be documented, 3. Experience with defining templates and formats for both technical documentation and user guides., 4. In-depth knowledge of electronic publishing tools, including version control, organizing page trees, incorporating visual elements (diagrams, images) and classifying/tagging information to direct it to the right audience. • Minimum Education: Bachelor’s degree

Required Skills & Experience -8 years experience as a Cyber Security Engineer, with hands-on experience in security research, threat intelligence, vulnerability management, red teaming, or detection engineering -Experience working with LLMs, using them to solve cybersecurity challenges -Experience with retrieval tools such as LangChain, and ChromaDB -Experience using Fine-tuning techniques and tools including LoRA, QLoRA, DeepSpeed-Chat / TRL, OpenAI Fine-Tuning API, MosaicML Platform -Experience using LLM Agent frameworks such as LangChain Agents, AutoGPT, Microsoft AutoGen, HuggingGPT, CrewAI -Experience using optimization tools such as Quantization, FlashAttention, Distillation, DeepSpeed-Inference / FasterTransformer Job Description Insight Global is hiring a AI Cyber Security Engineer join the team, based out of San Jose, CA. This person will be focused on gathering research dependent on requirements from the customers and figuring out what is the most efficient way to automate their issues using LLMs. This person will spend about 75% of their time researching areas like vulnerability management, CVE databases, and SIEM logs, and 20–25% coding in Python to prototype and connect tools for the engineering team. They will work with existing LLMs and vector databases (e.g., LangChain, ChromaDB, MosaicML) to configure secure solutions. The ideal candidate will have experience in a security firm or on a security-focused team, are self-driven researchers, and can bridge AI with cybersecurity. Compensation: The salary for this position ranges from 180,000-250,000/year. Exact compensation may vary based on several factors, including skills, experience, and education. Benefits package for this role may include healthcare insurance offerings and paid leave as provided by applicable law.

• Basic knowledge in harness/cable design and fabrication, • Create, maintain, and manage Zuken ECAD library components, symbols, footprints, and specifications, particularly within Zuken E3 or similar CAD tools, • Should be familiar with Zuken.e3s and Solidworks 3D CAD tools, • Library parts creation experience

About TikTok TikTok is the leading platform for short-form mobile videos, dedicated to inspiring creativity and bringing joy to over 1 billion users worldwide. With offices across the globe, including Singapore, we value humility, intelligence, compassion, and creativity in our team. Why Join Us? At TikTok, we embrace curiosity and aim for excellence. We encourage bold ideas and calculated risks, offering limitless opportunities for those ready to make an impact. Join us and help shape the future of online engagement! About the Team Our team focuses on developing large-scale product knowledge graphs to enhance the online shopping experience. We’re looking for skilled software engineers with expertise in Natural Language Processing (NLP), Computer Vision (CV), Deep Learning (DL), and Machine Learning (ML). Responsibilities: • Develop and optimize algorithms for product matching, price comparison, and other areas to enhance operational efficiency., • Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Applied Mathematics, Data Science, or related fields., • Minimum of 3 years of experience in one or more of the following areas:, • NLP: Natural language generation, named entity recognition, machine translation, etc., • CV: Facial recognition, object detection, image classification, etc., • ML: Transfer learning, recommendation systems, reinforcement learning, etc., • Experience in the e-commerce or internet industry is preferred., • Strong coding skills in one of the following languages: Python, Java, C/C++, Spark., • Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras.

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. About the Role We are looking for a passionate DevOps Engineer to join our growing DevOps team. In this role, you will work closely with development, QA, and IT teams to drive and support modern infrastructure automation, CI/CD practices, and cloud-native development. You’ll help us scale and improve our infrastructure using tools like Terraform, Packer, Ansible, and Kubernetes, and manage deployments across AWS, Azure, and hybrid environments. What You’ll Do • Design, implement, and maintain scalable CI/CD pipelines using GitLab CI, Terraform, and Packer, • Automate infrastructure provisioning and configuration management using Ansible and Infrastructure-as-Code principles, • Deploy and manage containerized applications in Kubernetes, • Collaborate with development teams to integrate DevOps practices into agile workflows and improve delivery velocity, • Monitor system performance and ensure high availability of services across cloud and on-prem environments, • Troubleshoot production issues and assist in incident response and root cause analysis, • Contribute to security hardening and vulnerability remediation processes in coordination with security teams Minimum Qualifications • BS or MS in Computer Science or a related field, • 3+ years of experience as a DevOps Engineer, Site Reliability Engineer, or Automation Engineer, • Strong foundation in software engineering practices and agile development, • Hands-on experience with:Terraform, Packer, Ansible, • CI/CD tools such as GitLab CI, Jenkins, or similar, • Docker, Kubernetes, and container orchestration, • Version control systems (e.g., Git and Git workflows), • Experience with UNIX/Linux systems administration, • Experience with cloud platforms like AWS, Azure, or GCP, • Familiarity with cloud-native infrastructure patterns such as IaaS, PaaS, and SaaS, • Understanding of systems architecture: clustering, load balancing, HA/DR, and distributed systems, • Exposure to networking, firewall configuration, NFS/NAS, and object storage (e.g., S3), • Experience with security scanning tools, static analysis, and compliance automation, • Be part of a high-impact DevOps team accelerating developer productivity and infrastructure reliability, • Work with cutting-edge tools and contribute to building scalable, secure, and efficient systems, • Opportunities for growth and cross-functional collaboration in a fast-paced, mission-driven environment Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.

About the Role: We are looking for an experienced and innovative Tech Lead Machine Learning Engineer to join a leading global team focused on building technologies that drive business growth through branded advertising. In this role, you will work on a diverse range of ad products including reservation ads, auction ads, and content ads that help brands increase visibility and achieve business goals. You will have the opportunity to influence the entire ad delivery tech stack, including ad bidding, ranking, and forecasting, while collaborating closely with product and engineering teams in a fast-paced, global environment. Key Responsibilities: • Design and develop innovative monetization products that enhance user engagement and generate revenue., • Lead the development of a large-scale Ads system, working with a world-class team of engineers., • Contribute to the creation and refinement of Ads algorithms using advanced machine learning techniques., • Develop and enhance Natural Language Processing (NLP) and Computer Vision (CV) technologies for content understanding and taxonomy classification., • Collaborate with cross-functional teams to deliver high-impact features quickly and efficiently in a rapidly evolving environment., • BS degree in Computer Science, Computer Engineering, or a related field, with 7+ years of relevant work experience., • Strong programming, debugging, and optimization skills in one or more general-purpose programming languages such as Go, C/C++, Python., • Ability to think critically, with strong problem-solving skills and a clear approach to designing solutions., • Professional experience in machine learning, data mining, data analysis, and distributed systems., • Solid understanding of key advertising technologies, including brand ads, content ads, auction systems, bidding strategies, ranking, and ad forecasting., • Experience in one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend engineering, large-scale systems, data science, or full-stack development. If you have a passion for solving complex problems, building scalable systems, and driving business growth through technology, we want to hear from you.

About the Role: We are looking for an experienced Tech Lead Machine Learning Engineer to join an innovative global leader in digital advertising. The Brand Ads team is responsible for some of the most advanced and scalable ad systems used by top global brands. This role offers the opportunity to lead the development of new monetization products, working on everything from ads ranking to forecasting and bidding algorithms. What You'll Do: • Lead the development of innovative ad products to drive user engagement and revenue., • Oversee the development of large-scale ads systems, including ranking, forecasting, and bidding algorithms., • Mentor and guide a team of engineers, ensuring high-quality, scalable solutions., • Collaborate with global teams to build cutting-edge ad technologies., • Work in a fast-paced environment, continually iterating on machine learning models to enhance ad performance. Why This Company? This company is a leader in the digital entertainment space, connecting people through short-form video content. As part of the Brand Ads team, you'll be contributing to the development of high-impact ad products that influence how millions of users engage with brands. With a focus on innovation and creativity, the company encourages bold thinking and offers a flexible, dynamic work environment where engineers have the freedom to drive change. • 7+ years of experience in Machine Learning, Software Engineering, or Applied Science., • Expertise in Python, C++, or Go., • Strong experience with ads technology, including forecasting, ranking, and auction systems., • Proven leadership skills in guiding technical teams and developing scalable systems., • BS or MS in Computer Science, Engineering, or related fields

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Job Description: PayPal, Inc. seeks Machine Learning Engineer 3 in San Jose, CA Job Duties: Develop state-of-the-art Machine Learning solutions to solve impactful business problems. Work with partners to formulate business challenges into data science and machine learning problems and recommend actionable insights for solutions delivered. Produce and automate large-scale end-to-end data solutions in close collaboration with PayPal’s engineering teams. Utilize familiarity with relevant machine learning frameworks and packages such as Tensorflow and PyTorch, as well as with GCP/Hadoop and big data experience. Experience/familiarity with Deep learning, reinforcement learning, graph modeling, Learning to Rank, Recommendations, growth marketing models, and Regression modeling. Communicate with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights. Possess knowledge of one or more programming languages such as Python, Java, Scala, SQL, Hive. Telecommuting permitted - work can be performed from anywhere in the US. Minimum Requirements: Master’s degree, or foreign equivalent, in Physics, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation. Special Skill Requirements: 1. Statistical analysis and large-scale computing (2 year/s), 2. Computational Algorithms (2 year/s), 3. Machine learning (2 year/s), 4. Programming (2 year/s), 5. Big data visualization and analysis methods, (2 year/s), 6. Mathematical modeling (2 year/s), 7. Hypothesis testing (2 year/s), 8. SQL (2 year/s), 9. Bayesian statistical inference (2 year/s) EOE, including disability/vets. Must be legally authorized to work in the U.S. without sponsorship. Additional Job Description: Salary: $148,699.00-204,600.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. PayPal is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including but not limited to relevant skills and experience. Your recruiter can share more information about our total compensation package during the hiring process. Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ___. Who We Are: ___ to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ___. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please ___. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Proactively analyze, monitor, and report on messaging operations performance, assessing reliability and maintainability Respond to customer escalations for our voice and messaging products Set up a plan to scale telecom engineering knowledge towards a durable and sustainable framework Act as the tel

Atomic Machines is ushering in a new era in micromanufacturing with its Matter Compiler (MC) technology. The MC enables new classes of micromachines to be designed and built by offering manufacturing processes and a materials library that is inaccessible to semiconductor manufacturing methods. The MC not only promises to unlock MEMS manufacturing for the many device classes that never could be made by semiconductor methods, but also to open up entirely new classes. Furthermore, the MC is a multi-process, multi-material technology: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device – one that was only made possible by the existence of the Matter Compiler – that we will be unveiling to the world soon. Our offices are in Berkeley and Santa Clara, California. About The Role: We are seeking a seasoned DevOps engineer to join our innovative software team. As a Staff DevOps Engineer, you will play a pivotal role in designing, implementing, and maintaining our infrastructure and deployment pipelines. You’ll work closely with software and firmware development and operations teams to streamline processes, improve system reliability, and enhance scalability. Your expertise will guide the adoption of best practices and innovative solutions to ensure the continuous delivery of high-quality software. \n What You'll Do: • Architect and deploy infrastructure as code., • Develop and optimize CI/CD pipelines to ensure efficient and reliable software delivery., • Work closely with hardware and firmware teams to create a hardware-in-the-loop test environment., • Implement security best practices and conduct regular security assessments to protect infrastructure and data., • Work closely with development teams to understand application requirements and ensure smooth integration and deployment., • Set up monitoring, alerting, and logging systems to proactively identify and resolve issues. Analyze system performance and implement improvements., • Evaluate and recommend new tools, technologies, and practices to improve our DevOps processes and infrastructure. What You'll Need: • Expertise in DevOps, • Proficiency in Git, Gitlab, Jenkins., • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)., • Advanced knowledge of scripting languages (e.g., Python, Bash)., • Thorough understanding of the Linux ___, • Thorough understanding of the Linux, • Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Ansible, k8s), • Experience with cloud services and on-prem, preferably embedded., • Knowledge of Computer Systems, • Understanding of how computers work. Our work involves a variety of processors and computing environments – Linux, FreeRTOS, and bare metal. Strong fundamentals help build system context and enable broad contribution., • Undergraduate-level knowledge of: operating systems, databases, networks, systems security, • Concurrency & execution modelsComputer architecture, • Experience with system design, • Experience designing, building, and shipping complex distributed software systems that control hardware in sophisticated ways., • High-level understanding of SDLC, • Bonus: Experience with machine learning approaches and model training processes., • Exposure to LLMs. \n$180,000 - $220,000 a yearThe compensation for this position includes equity and benefits.\n

About 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 Role We're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You’ll work side-by-side with world-class researchers and engineers to: • Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) • Implement distributed optimizers from mathematical specs • Build robust config + launch systems across multi-node, multi-GPU clusters • Own experiment tracking, metrics logging, and job monitoring for external visibility • Improve training system reliability, maintainability, and performance • While much of the work will support large-scale pre-training, pre-training experience is not required. Strong infrastructure and systems experience is what we value most. Key Responsibilities • Comprehensive medical, dental, and vision • 401(k) program • Generous PTO, sick leave, and holidays• Paid parental leave and family-friendly benefits• On-site amenities and perks: Complimentary lunch, gym access, and a short walk to the Sunnyvale Caltrain station

Job Title: Senior Machine Learning Engineer About Us: UnitX is building the world’s best robotics product to accelerate human productivity in manufacturing. UnitX is a fast-moving startup with a team from Stanford and Google. Since inception, UnitX has deployed 500+ mission-critical systems across 95 of the world's leading manufacturers' production lines. Every year, $2.8B dollar worth of products go through UnitX AI inspection system to ensure quality. Join us for the rare opportunity to work on computer-vision-driven products that go beyond the state of the art and that improve global manufacturing efficiency. What You'll Do: * You will develop new algorithms that consume raw sensor data input to detect defect segmentation and location information on high-resolution images or 3D inputs, with pixel-level precision. * You will engineer software that runs on the production line to efficiently execute our algorithms in real time with each decision under 20ms. * You will develop metrics and tools to evaluate various model performance and improve visibility and interpretation of our system. * You will explore new solutions and push the boundaries of the field including using Stable Diffusion, SAM and build applications for critical missions in the fields. Who You Are: * Bachelor's degree in Computer Science, Mathematics, Physics, or a relevant technical field, or equivalent practical experience. Solid foundational and applied math knowledge. * 5+ years of work experience, with at least 2 years of experience in building machine learning models for computer vision in production. * Strong theoretical background and practical experience in Deep Learning, with proficiency in PyTorch or Tensorflow. Excellent Python skills for writing efficient and maintainable solutions in large code bases. * Strong communication and decision-making skills. Ability to explain the rationale behind experiments and make decisions to balance exploration and exploitation. * Resilience in uncertain and complex environments. Preferred Qualifications: * Experience with image generation with diffusion models and other generative models. * Experience with model inference optimization * Experience with non-ML CV algorithms Compensation & Benefits * Competitive Salary + equity * Full Medical, Dental, Vision, 401k * Unlimited PTO * Daily meals provided

Benefits: • 401(k), • 401(k) matching, • Competitive salary, • Dental insurance, • Health insurance, • Opportunity for advancement, • Paid time off, • Relocation bonus, • Vision insurance, • Wellness resources Job Summary: As an AI Engineer, you will be responsible for designing, developing, and deploying AI and machine learning models to enhance the capabilities of our consumer electronics and IoT products. You will collaborate with cross-functional teams, including software engineers, hardware engineers, and product managers, to bring intelligent features to life. Key Responsibilities: • Design, develop, and optimize AI/ML models for edge computing and cloud-based applications., • Work with large-scale datasets to train, test, and validate AI models., • Collaborate with software and firmware engineers to integrate AI models into embedded systems and mobile applications., • Optimize AI algorithms for efficiency, power consumption, and real-time performance in resource-constrained environments., • Stay updated with the latest AI/ML advancements and research to apply innovative solutions to our products., • Develop and maintain documentation, including model architecture, training procedures, and performance benchmarks., • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field., • 2+ years of experience in AI/ML development, preferably in the consumer electronics or IoT industry., • Proficiency in programming languages such as Python and C++., • Experience with AI/ML frameworks such as PyTorch, or scikit-learn., • Strong background in computer vision, deep learning, LLM, or reinforcement learning., • Experience with embedded AI and edge computing frameworks (e.g., ONNX, NVIDIA Jetson)., • Knowledge of data processing pipelines, model training, and hyperparameter tuning., • Familiarity with cloud AI services (AWS, Google Cloud, Azure AI) and MLOps practices., • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment., • Experience developing AI applications for smart home devices, wearables, or industrial IoT., • Understanding of sensor fusion, signal processing, and real-time analytics., • Knowledge of AI ethics, privacy, and security considerations in IoT applications., • Work on cutting-edge AI technologies for next-generation consumer electronics and IoT products., • Collaborate with a passionate and talented team in a fast-growing company., • Competitive salary, stock options, and benefits package. Compensation: $140,000.00 - $230,000.00 per year Since 2019, Petlibro has designed products for the intertwined lives of pets and their people. From smart feeders with health insights to ultra-filtered automatic fountains, our award-winning products are engineered to magnify the bond between your pet and you. Designed better for your lives together

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Team The AI Expert team strives to make AI models excellent in scientific and professional domains, such as math, engineering, biology, medicine, and finance. This team will build AI experts in an end-to-end manner, including building model evaluation, curating training data, and developing training recipes. About the Role In this role you might: • Innovate next-generation RL algorithms to unleash AI abilities in open-ended science research and real-world professional work., • Build evaluation for AI models in expert domains, • Build RL data infrastructure and generate training data. Exceptional candidates may have: • Strong engineering abilities, • Experience with data collection and data generation for LLMs, • Optional: Experiences with cross-domain experiences Location • We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: • Coding assessment in a language of your choice., • 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training., • Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD xAI is an equal opportunity employer.

___ is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. Team At Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications. WHO ARE WE LOOKING FOR? The team is looking for a skilled Machine Learning Engineer to help advance a cutting-edge machine learning system for perception, prediction, and motion planning in autonomous driving. You will have the chance to design and implement innovative machine learning models for our next-generation autonomous vehicle platform, influencing millions of Toyota production vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity. \n RESPONSIBILITIES • Design and develop advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning and large-scale data analysis., • Deploy scalable and efficient ML models on our autonomous vehicle platform., • Integrate modern technologies with rigorous safety standards while maintaining cost efficiency., • Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation., • Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions, • Work in a high-velocity environment and employ agile development practices., • Exhibit a "Giver" mindset, proactively asking, “What can I do for you?” to facilitate production development processes while maintaining a "get things done" mentality., • Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions., • Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week. MINIMUM QUALIFICATIONS • MS or PhD in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience., • 3+ years of experience with Python, any major deep learning framework, and software engineering best practices, • Comfortable in writing C++ code to help integrate with our autonomous vehicle platform., • 2+ years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning., • 2+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization., • Strong communication skills with the ability to communicate concepts clearly and precisely. NICE TO HAVES • Published research at top-tier conferences (NeurIPs, CVPR and similar)., • Proven track record of deploying ML models at scale in self-driving or related fields., • Familiarity with production-level coding in time-limited task schedules., • Experience with computer vision (___ geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping), • Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control), • Experience with temporal data and/or sequential modeling., • Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation). \n For California: The base pay for this position ranges from $140,000- $230,000 a year Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・A rewarding 401k program ・Flexible vacation policy ・Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our ___ for more details.

* We are a Tier 1 social media company，building the next generation of advertising technology that empowers brands to engage with their audience in new, innovative ways. Our Brand Ads team develops cutting-edge products that optimize ad spend, drive brand awareness, and foster meaningful consumer relationships. By combining advanced machine learning with immersive content experiences, we help brands grow and succeed in a rapidly evolving digital landscape. Join us and be part of a global team shaping the future of digital advertising! * We are seeking a Senior Machine Learning Engineer to join our dynamic Brand Ads team. In this role, you’ll have the opportunity to shape the future of monetization on TikTok by developing cutting-edge machine learning models that drive brand awareness, engagement, and revenue. You will work on a variety of high-impact projects related to ads forecasting, bidding algorithms, content understanding, and more. * • Lead the development of advanced forecasting models that enable advertisers to optimize ad spend and maximize ROI., • Build innovative monetization products that enhance user engagement and boost revenue generation for brands., • Work on scalable, high-performance ads systems, focusing on ads bidding, ranking, and content delivery., • Collaborate on building ML-powered algorithms for ad personalization, recommendation systems, and ranking mechanisms., • Leverage NLP and Computer Vision (CV) technologies to enhance content understanding and improve ad targeting., • Contribute to the continuous evolution of TikTok’s ad tech stack, driving system reliability, scalability, and performance in a globally distributed environment., • Partner closely with global engineering and product teams to drive impactful solutions at scale. * You are an experienced Machine Learning Engineer with a passion for solving complex problems and making a tangible impact. You have expertise in designing and optimizing large-scale systems and are eager to work in a fast-paced environment where every project presents new challenges and opportunities. Minimum Qualifications: • Strong proficiency in programming languages like Go, C/C++, Python (or other general-purpose languages)., • Proven ability to solve problems in a structured and efficient manner, with a critical thinking approach to system design., • Experience with ads technologies (brand ads, auction systems, bidding, ranking, and forecasting) or similar domains., • Hands-on experience with Machine Learning, including but not limited to forecasting, Deep Learning, NLP, ranking systems, or recommendation systems., • Background in working with large-scale systems, data science, or backend engineering., • BS/MS in Computer Science, Computer Engineering, or a related field, with 5+ years of relevant experience., • Extensive experience with machine learning frameworks and techniques, including data mining, deep learning, and data analysis., • Strong sense of product design, with experience translating business needs into technical solutions and implementing successful features., • Familiarity with cloud technologies (AWS, GCP, etc.) and distributed systems is a plus.

🎨 ___ is the world's No.1 AI video agent, built for authenticity on social media. We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: * Be a Champion Team * Prioritize Ruthlessly * Ship fast, Quality Follows * Obsess over customers Be a part of this exciting journey with us! * Collaborate with our team to build and optimize a language model pipeline for video understanding using prompt engineering, fine-tuning, and other creative techniques * Design and deliver state-of-the-art NLP/CV models or features to improve product performance in understanding videos * Conduct research and demos with cutting-edge LLMs exploration and applications * Bachelor's degree or above in computer science or related fields * Less than 2 years of work experience or fresh graduates are also welcome * Fluent in verbal, written, and technical English * Solid programming skills in Python, C++, or JavaScript * Proficient in PyTorch or TensorFlow * Experienced in areas in one of the below: * Video understanding. * LLM fine-tuning/multimodal systems. * Prompt Engineering & RAG * Enthusiastic, excellent communicator, self-motivated, and possessing a sense of ownership. * Experience in building products from the ground up * Strong coding skills * Passionate about the future with GPT-x, experience in building APIs/services/open-source with ChatGPT is highly preferred * Projects completed or Research papers published in one of the following areas: * Video understanding * LLMs finetuning/multi-modals * Prompt Engineering * Publications or papers submitted in top-tier conferences, such as ACL, EMNLP, CVPR, ICCV, ICLR, NeurIPS, KDD, AAAI, etc. * Palo Alto, CA; San Francisco, CA EEO OpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

We 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. \n 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. Required Skills: • Master’s or Ph.D. in AI, Computer Science, Electrical Engineering, Robotics, or a related field., • 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., • Experience with distributed training, high-performance computing, or GPU acceleration. \n$145,000 - $200,000 a yearOur compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.\n

About 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 Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. • Collaborate with Research teams to understand technologies, adapting and integrating them into codebase., • Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models., • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies., • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)., • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback., • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality., • Contribute to research papers and 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., • Minimum: Bachelor’s degree or equivalent practical experience., • Preferred: Master's degree or PhD in Computer Science or related technical field., • 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision., • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting., • 2 years of experience with data structures or algorithms in either an academic or industry setting., • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • 2 years of experience with improving performance during large scale data processing, • Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).

Job Summary: We are seeking a highly skilled and motivated HVAC Infrastructure Engineer to join our dynamic team. The ideal candidate will be responsible for the design, maintenance, and construction of data center facilities with an emphasis on Building Management System (BMS) integration. This role will support both air-cooled and liquid-cooled environments to ensure the highest levels of system availability and performance. The successful candidate must have a strong technical background in data center infrastructure, construction management, and experience working with advanced cooling technologies.Key Responsibilities: • Design & Construction Management:, • Oversee construction projects for data center build-outs, expansions, and upgrades., • Manage project timelines, budgets, and contractors to ensure successful completion., • Collaborate with engineering teams to design efficient data center layouts for optimal airflow and cooling distribution., • Ensure compliance with industry standards and safety regulations throughout the construction process., • Facility Maintenance:, • Develop and implement preventive maintenance schedules for critical infrastructure, including HVAC, electrical, and plumbing systems., • Troubleshoot and resolve issues with BMS, air cooling, and liquid cooling systems to minimize downtime., • Monitor and optimize the performance of cooling infrastructure to ensure proper environmental conditions for all IT equipment., • Building Management System (BMS) Operations:, • Maintain and improve BMS controls and operations, ensuring precise monitoring of temperature, humidity, and power usage., • Work with vendors to implement new BMS solutions and optimize existing systems., • Develop strategies to automate and improve data center efficiency through BMS analytics., • Infrastructure & Equipment Management:, • Oversee the installation and commissioning of data center infrastructure equipment, including UPS systems, PDUs, generators, and chillers., • Ensure proper documentation and asset management of all critical equipment and systems., • Perform risk assessments to ensure infrastructure reliability and identify areas for improvement., • Collaboration & Communication:, • Collaborate with cross-functional teams, including IT, network, and security teams, to support overall data center operations., • Act as the technical point of contact for construction projects and infrastructure upgrades., • Prepare and present reports on infrastructure performance, capacity planning, and project status., • Compliance & Safety:, • Ensure adherence to data center best practices, industry standards, and safety protocols., • Support audits and compliance activities by maintaining accurate documentation and records.Qualifications:, • Education: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or related field. Equivalent experience will be considered., • Experience:, • 5+ years of experience in data center infrastructure engineering, construction management, or facilities operations., • Proven experience with BMS systems and controls in data center environments., • Familiarity with both air-cooled and liquid-cooled infrastructure technologies., • Technical Skills:, • Strong understanding of HVAC systems, electrical distribution, and data center cooling methodologies., • Knowledge of liquid cooling technologies, including immersion cooling and direct-to-chip liquid cooling., • Proficiency in using monitoring tools and BMS software., • Certifications: Data Center Certified Associate (DCCA), Certified Data Center Specialist (CDCS), or similar certifications are a plus.Key Competencies:, • Problem-Solving: Ability to analyze complex technical issues and develop efficient, effective solutions., • Attention to Detail: Precision in monitoring system performance and implementing improvements., • Project Management: Strong organizational and time-management skills to handle multiple projects simultaneously. Foxconn Assembly, LLC participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Who we are? Typeface is on a mission to help everyone express their unique imagination. We believe technology is a creative partner that empowers any company to tell their unique stories faster and easier than ever before. Generative AI platforms represent a major breakthrough to create content at tremendous speed and scale. For enterprises to successfully leverage their potential, they need to include their unique voice and style and ensure responsible AI practices. We unite content velocity with brand personalization and safety, so that every company can achieve its creative potential. We are looking for passionate individuals who want to help build a fast-growing GenAI company from the ground up. Why join us? • Bleeding edge technology: We explore uncharted territory at the intersection of art and science. We strive to revolutionize content, amplifying human creativity with cutting-edge AI in a safe and responsible way., • Best-in-class product: We built the leading enterprise-grade generative AI solution, so any business, from startups to Fortune 500 companies, can 10x personalized content at scale. Typeface combines the best-in-class AI platforms across the board with our own brand-personalized AI model to hyper-personalize content at scale with a responsible AI approach., • World-class team: Founded by the former CPO & CTO of Adobe, Abhay Parasnis, and a highly experienced team with a proven track record of building revolutionary, long-lasting AI, SaaS, and media technologists that are completely focused on customer impact., • Top-tier Investors: Backed by top-tier venture capital firms: Lightspeed Venture Partners, Salesforce Ventures, GV (Google Ventures), Madrona, Menlo Ventures, and M12 (Microsoft’s Venture Fund). ___., • Rapid customer traction: Overwhelming demand from Fortune 500 companies and popular digital-native brands from every industry., • Awards & recognition: Honored to be a winner of 10+ industry awards for our unique approach to enterprise GenAI, including Fast Company’s___“Top 5 Next Big Things in Tech” and Adweek’s AI Company of the Year. The Mission: As an Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. Key Responsibilities: We are looking for a strong Machine Learning engineer to join our team and help us build innovative Generative AI solutions that deliver the power of Generative AI to our customers. You will be responsible for the following: • Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content, • Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch., • Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale., • Investigate, prototype and deliver innovative solutions, • Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth, • Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics Qualifications: • Bachelor or Master's degree in computer science or a related field, • Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems., • 3+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale, • Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects, • Proficiency in Python, C/C++ (or equivalent), • Ability to create self-contained, reusable, and testable modules and passionate about prototyping Preferred Qualifications: • Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms, • Hands-on experience in deploying and tuning Generative AI models in cloud or on local system is a plus, • Experience working at a high-growth startup or tech company, • Publications and research experiences in ML venues and/or vision/language applications are a plus Location This is a hybrid role reporting to our Palo Alto office 3 days a week. Base Salary The salary range for this role is $140,000-$180,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits for Full-time Employees: • Medical, dental, and vision insurance coverage for all employees, • Competitive salary and equity compensation, • Flexible PTO, • Parental Leave, • Hybrid schedule with company provided lunch when in office, • Opportunities for professional growth and development, • Work with a fast-growing startup and be a part of an exciting journey Equality Opportunity Statement Typeface is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity & Inclusion Statement At Typeface, we embrace everyone and believe that diversity and inclusion are essential to our success. We are committed to creating a workplace that is welcoming and inclusive for all employees, regardless of their background or identity. We value diversity in all its forms and strive to cultivate a culture where all employees can bring their best selves to work.

Job Description • Position Description：, • Location: Usa/Usa/California/Sf Bay Area, Seattle, • Base Salary: 187K - 280K, • Sponsor Visa? Yes, • Language Requirements: English, Mandarin (Preferred) Our Team: Site Reliability Engineering(SRE) team combines software and systems engineering to build and run large-scale, massively distributed, and fault-tolerant systems. In our team, you’ll have the opportunity to manage the complex challenges of scale, while using expertise in coding, algorithms, complexity analysis, and large-scale system design. We embrace a culture of diversity, intellectual curiosity, openness, and problem-solving. We encourage close collaboration while promoting self-direction. Responsibilities • Engage in and improve the whole lifecycle of services from inception and design, throughout development, capacity planning, and launch reviews, to deployment, operation, and refinement, • Design and implement software platforms and monitor frameworks for efficient, automated, and intelligent service-oriented architecture (SOA) governance, • Scale systems sustainably through mechanisms such as automation; evolve systems reliability, efficiency, and velocity by pushing for changes, • Practice sustainable user support, incident response, and blameless postmortems., • Bachelor's degree in Computer Science or a related technical field with 3+ years of experience, • Experience programming in one of the following Languages: C, C++, Java, Python, Go, and Rust, • Familiar with Unix/Linux system internals, networking, and distributed systems, • [Preferred] Experience in MySQL, Redis, Ngnix, Kubernetes, Docker, OpenStack, Hadoop, Spark, Flink, etc., • [Preferred] Strong skills in problem solving and communication We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off(PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

WAYFINDER Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution. The Opportunity/Role Description As Wayfinder's Senior AI Engineer (LLM, RAG), you will be pivotal in driving the performance of our AI systems. Reporting to the Manager of AI Algorithms, you will take ownership of critical AI assistant applications. Your work will involve architecting RAG pipelines, fine-tuning LLMs, and evaluating models to meet stringent performance benchmarks. This is a unique opportunity to prototype innovative solutions, bring them to production, and directly impact the future of aviation. Role Responsibilities • Architect and optimize RAG pipelines (data parsing, ingestion, prompt engineering, chunking, etc.)., • Develop and curate datasets, including synthetic data generation for training/evaluation., • Evaluate LLM applications for correctness, relevance, latency, and hallucination rates., • Deploy LLM-based applications to production, gather user feedback, and iterate for improvement., • Write clean, maintainable, and testable code following best practices., • Collaborate with cross-functional teams (Data/Labeling, Validation, Airbus ML teams). Qualifications • Master's degree (or equivalent industry experience) in computer science or a related field., • 7+ years of relevant software engineering experience., • 1+ years of hands-on experience with LLM/RAG development and fine-tuning., • Proficiency in Python and data analysis libraries (Pandas, NumPy, SQL)., • Experience with vector databases and RAG evaluation frameworks., • Strong communication and collaboration skills. Good To Have • Basic understanding of full-stack development (React, Python) for integrating AI solutions., • Experience with RL, and other emerging ML techniques., • Knowledge of MLOps tools and practices for managing AI/ML pipelines., • Passion for aviation, autonomy and the future of flight. Compensation: The estimated salary range for this position is $224,000 to $259,996 annually. Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more. Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year. Why Join Us? Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving. At Acubed, your contributions will directly impact our digital future. We welcome diverse perspectives and are committed to fostering an inclusive environment. Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Acubed Requirements • Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role. All job offers at Acubed are contingent upon the candidate passing references, background and export control checks.

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

Our team is small, highly motivated, and focused on engineering excellence. All engineers and researchers are expected to have strong communication skills. As an AI Engineer & Researcher - Reasoning Post-training at xAI, you will drive the evolution of our AI models' reasoning capabilities through i

Natcast (short for The National Center for the Advancement of Semiconductor Technology) is a new, purpose-built, non-profit entity created to operate the National Semiconductor Technology Center (NSTC) consortium, established by the CHIPS Act of the U.S. government. Working at Natcast represents an opportunity to help extend America’s leadership in semiconductor technology, significantly reduce the time and cost of moving from idea to commercialization, and build and sustain a semiconductor workforce development ecosystem. These efforts to advance semiconductor technology and seed new industries built on the capabilities of a wide range of advanced chips hold the potential to benefit the country and the world for generations to come. Site Reliability Engineer Sunnyvale, CA (Hybrid) In this role, you will be responsible for managing and optimizing Natcast's hybrid-cloud environments that support design centers across the globe. As a Site Reliability Engineer, you will ensure the reliability, scalability, and performance of both on-premises and cloud-based infrastructure that enables our mission-critical semiconductor research and development operations. Every day, you will work at the intersection of cutting-edge cloud technologies, traditional enterprise infrastructure, and next-generation development workflows. Your expertise will be crucial in managing how workloads are distributed between on-premises data centers and public/private cloud platforms, ensuring that our design centers can seamlessly collaborate, innovate, and scale while maintaining high availability. To thrive in this role, you must possess deep expertise in hybrid-cloud architectures, automation, and infrastructure management, coupled with a strong understanding of security and compliance requirements. Your ability to balance reliability and innovation while supporting multiple design teams will be essential to our success. Natcast is a trailblazing non-profit entity established under the CHIPS Act to operate the National Semiconductor Technology Center (NSTC) consortium. As a key component of the CHIPS and Science Act, Natcast is dedicated to advancing semiconductor R&D in the United States, convening government, industry, and academia to address the most challenging barriers to technological progress in the domestic semiconductor industry. The Site Reliability Engineer plays a crucial role in ensuring the robust technical infrastructure that enables Natcast's mission of advancing U.S. semiconductor capabilities through reliable, secure, and efficient computing environments. Responsibilities: * Design, deploy, and manage hybrid-cloud solutions spanning across on-premises data centers and public/private cloud environments * Architect and maintain integrations between on-premise infrastructure and cloud services * Develop and maintain automated deployment pipelines and Infrastructure as Code * Implement comprehensive monitoring, alerting, and logging systems across environments * Optimize performance and ensure cost-effective resource utilization across hybrid-cloud platforms * Provide high-level technical support for design centers * Plan for growth, optimize resource allocation, and implement disaster recovery strategies * Ensure security compliance across all environments * Collaborate with development, cloud, and security teams * Implement and manage Service Level Objectives (SLOs), Indicators (SLIs), and Agreements (SLAs) * Support specialized semiconductor design and research workloads Required Skills and Experience: * Bachelor's degree in Computer Science, Engineering, or related field * 3+ years of experience as a Site Reliability Engineer, DevOps Engineer, or similar role * Strong experience with managing cloud environments (AWS, Azure, GCP) and on-prem infrastructure * Experience with containerized applications and orchestration platforms * Advanced proficiency in Infrastructure as Code tools * Expertise in monitoring, logging, and observability tools * Strong scripting skills in Python, Bash, Go, or similar languages * Experience with CI/CD pipelines and tools * Strong problem-solving skills and experience with incident management * Familiarity with security practices in hybrid cloud environments Preferred Qualifications: * Experience supporting high-performance computing workloads or specialized engineering tools * Cloud platform certifications * Experience with serverless technologies or cloud-native application architectures * Knowledge of distributed databases and caching mechanisms * Familiarity with semiconductor design workflows and tools * Experience with FedRAMP and NIST compliance requirements If you are a skilled Site Reliability Engineer with a passion for building and maintaining robust hybrid-cloud environments that enable cutting-edge semiconductor research and development, we encourage you to apply for this position. Join us in our mission to advance U.S. semiconductor leadership through reliable, secure, and efficient technical infrastructure. Natcast is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, military status, or any protected attribute. We encourage qualified candidates from all backgrounds to apply and join us in our mission. If you require accommodation at any stage of the application process due to a disability, please let us know. We collect and manage personal data in compliance with data privacy regulations and best practices.

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. NOTE: Due to government environments this team supports, the role requires a US Citizen or Permanent Resident. Your Career The Cortex team builds and delivers the industry’s most advanced SecOps platform, consisting of XSIAM, XSOAR, and XPANSE. As a Senior DevOps Engineer, you will be responsible for designing, building, and maintaining the infrastructure and automation that powers our large-scale cloud platform. You will work closely with engineering teams to enable fast and reliable software delivery, optimize system performance, and ensure seamless scalability. This role requires a strong DevOps engineer who is passionate about automation, cloud infrastructure, observability, and continuous integration/deployment. You will contribute to the evolution of our infrastructure by implementing best practices in configuration management, cloud provisioning, containerization, and CI/CD pipelines. Your Impact • Cloud Infrastructure – Architect, deploy, and manage cloud-native solutions in Google Cloud Platform (GCP) to ensure scalability, reliability, and performance, • Automation & Infrastructure as Code – Develop Infrastructure-as-Code using Terraform, automate configuration management with tools like Ansible, and drive adoption of GitOps practices, • CI/CD Pipelines – Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, or similar tools to enable rapid, reliable software delivery, • Containerization & Orchestration – Deploy and manage containerized workloads using Kubernetes (GKE preferred) and Docker, ensuring resilience and security, • Monitoring & Performance Optimization – Implement monitoring, logging, and alerting solutions to proactively identify and resolve performance issues, • Security & Compliance – Ensure security best practices are followed across infrastructure, networking, and application deployment, • Collaboration – Work closely with development teams to integrate DevOps practices, troubleshoot production issues, and improve operational efficiency, • On-Call Rotation – Participate in on-call support to maintain platform reliability and resolve production incidents Your Experience • 5+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles, • BS or MS in Computer Science or related technical field, • Strong cloud expertise in Google Cloud Platform (preferred) or AWS, • Infrastructure as Code – Deep knowledge of Terraform, Ansible, or equivalent tools, • Proficiency in scripting/programming with Python, Go, or Bash, • Containerization & Kubernetes – Experience managing large-scale Kubernetes environments and deploying workloads in GKE, EKS, or similar, • CI/CD & Automation – Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or ArgoCD, • Linux Administration – Strong knowledge of Linux systems and shell scripting, • Networking & Security – Understanding of cloud networking, IAM, firewalls, and security best practices, • Experience troubleshooting production issues in high-scale environments, • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment The Team Our DevOps team is at the core of Cortex’s cloud infrastructure, enabling our engineering teams to build and deploy software at scale. We thrive on automation, efficiency, and reliability, always pushing the boundaries of DevOps excellence. If you’re excited about building scalable infrastructure, improving deployment workflows, and driving DevOps culture, we want to hear from you. 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 $147000/YR - $237500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. #LI-TD1 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.

The Company: Gridmatic is a startup trying to help decarbonize the grid by using deep learning to forecast energy prices. We believe better forecasting can have a real-world impact on energy and climate. As extreme weather events get more common, energy prices become increasingly volatile — for instance, in the Texas energy market, prices can go 50x higher than usual in extreme scenarios. When this happens, the ability to forecast these price spikes becomes increasingly important. We use our machine learning (ML) forecasting and optimization to trade in energy markets, make large-scale battery storage systems more efficient, and sell energy to businesses to protect them from extreme price volatility. Our deep learning models have proven very successful in trading in energy markets, we’re successfully operating multiple large batteries (50MW+), and we now sell energy to hundreds of businesses. We have a very strong team with significant expertise in ML, energy, and optimization. If you’re interested in working on complex real-world problems, large-scale data challenges, and applying ML to climate and energy, we’d love to talk to you. The Role: We’re looking for an engineer to help lead the scaling and reliability of our data infrastructure, which is core to the ML work we do at Gridmatic. Forecasting energy prices is challenging. We have very effective price forecasting models, but we’d like to go much further — scaling the amount of data we can use in our ML models by a factor of 10-100x by incorporating petabyte-scale weather data, increasing spatial granularity of our price forecasting, and more. We’d also like someone who can tackle the challenge of scaling and improving reliability of our data platform. We deal with a lot of real-world problems when ingesting data from external sources — downtime, late-arriving data, changing schemas. Improving the reliability of our data pipelines will be critical to our ability to make an impact on the grid. \n What we’re looking for: • Experience building the infrastructure for large-scale data processing pipelines (both batch and streaming) using tools like Spark, Kafka, Apache Flink, and Apache Beam., • Experience designing and implementing large-scale data storage systems (feature store, timeseries DBs) for ML use cases. Strong familiarity with relational databases, data warehouses, object storage, timeseries data, and being adept at DB schema design., • Experience building data pipelines for external data sources that are observable, debuggable, and verifiably correct. Have dealt with challenges like data versioning, point-in-time correctness, and evolving schemas., • Strong distributed systems and infrastructure skills. Comfortable scaling and debugging Kubernetes services, writing Terraform, and working with orchestration tools like Flyte, Airflow, or Temporal. What you might work on: • Owning and scaling our data infrastructure by several orders of magnitude. This includes our data pipelines, distributed data processing, and data storage., • Building a unified feature store for all our ML models., • Efficient storing and loading hundreds of terabytes of weather data for use in AI-based weather models., • Processing and storing predictions and evaluation metrics for large-scale forecasting models. You might be great for this role if: • You have 4+ years of experience building data infrastructure or data platforms, • You have experience with ML infrastructure and have worked at companies that use ML for core business functions, • You’re comfortable with ambiguity and a fast-moving environment, and have a bias for action, • You learn and pick up new skills quickly, • You’re motivated in making a real-world impact on climate and energy \n$200,000 - $317,000 a yearYou will also receive Stock Options (ISOs) Taking care of you today:- Continuing Education Opportunities- Flexible PTO- Medical, Dental and Vision plans with competitive employer contributions- Pre-Tax commuter benefits- $1500/year non profit donation matching program through Millie- Home Office Stipend Protecting your future for you and your family:- 401K contribution match up to 4%- Company-paid parental leave- Company Paid Life Insurance- Stock Option Loan Program\n FAQ What’s your policy on remote work? We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy that will ask you to work in our Cupertino office 3 days a week. What is your interview process? You’ll usually have a chat with the hiring manager or someone on the team about your background and experience. After that, depending on the role, you’ll either have a technical phone screen with an engineer, or work on a take-home project. If that goes well, we’ll have you on site in Cupertino for an interview panel with the team, which usually takes about 4 hours.

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. The Ion endoluminal system is Intuitive's robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. In this role, you will work as part of Ion’s Digital and Data software team to support our cloud-based infrastructure and web applications, with an emphasis on automation, scalability, and reliability. Roles & Responsibilities: • Work closely with cross-functional teams to understand their requirements and provide solutions that align with our company's mission and objectives., • Design, build, and maintain cloud infrastructure hosted on AWS to support a modern web applications., • Set up and manage CI/CD pipelines to ensure rapid and reliable software delivery., • Implement and monitor infrastructure-as-code., • Manage configuration and deployment of services including frontend web hosting, backend APIs, and database integrations., • Define observability standards including monitoring, logging, and alerting., • Work closely with application security and engineering teams to enforce infrastructure and application security best practices., • Assist with cost monitoring and optimization of cloud resources., • Contribute to incident response procedures and improve system reliability and uptime., • Document designs, configurations, and code to facilitate knowledge transfer within the team. Required Education, Skills & Experience • BS or MS degree in Computer Science/Engineering or equivalent, • Minimum 3-4 years of experience in a DevOps role supporting modern web applications, • Experience with AWS resources including EC2, IAM, VPC, DynamoDB, Lambda, RDS, • Proficient with infrastructure-as-code (Terraform, CloudFormation, or similar), • Proficient with configuring and maintaining CI/CD pipelines, • Solid grasp of integrating with external services such as auth providers and analytics platforms, • Knowledge of security best practices, especially in healthcare and sensitive data environments, • Excellent problem-solving skills and a collaborative mindset, • Knowledge of MedTech industry standards and regulations, such as ISO 13485 or IEC 62304, • Experience deploying or managing infrastructure to support embedded applications or edge devices, • Familiarity with CI/CD pipelines for embedded application software development Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.

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

The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting. We are looking for engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with globalized engineering and product teams in a high-impact and fast-paced environment. What you'll do: • Build forecasting models to allow advertisers to more efficiently spend ad budgets., • Create innovative monetization products that drive engagement and revenue., • Participate in the development of a large-scale Ads system., • Participate in the development and iteration of Ads algorithms by using Machine Learning, • Work on NLP and CV related technology for content understanding and taxonomy., • Contribute to the success of a rapidly growing and evolving organization with speediness and quality. Requirements: Minimum Qualifications: • Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python., • Ability to think critically and to formulate solutions to problems in a clear and concise way., • Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting., • Experience with one or more of the following: Machine Learning in forecasting, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack. Preferred Qualifications: • BS degree in Computer Science, Computer Engineering or other relevant majors, with 5+ years of related work experience., • Relevant professional experience with machine learning, data mining, data analysis, distribution system., • Good product sense and experience designing and implementing product features.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Join our AI Solution Success team within the Platform Product organization. Dive into customer-facing and internal projects alongside seasoned professionals. Contribute to cutting-edge innovations that drive business growth. Our global team fosters collaboration and shares best practices. If you're a results-driven problem solver who likes to dream big, join us in crafting scalable AI solutions! Who we are? We are a team composed of cross-functional SMEs from ATG, Platform, Business Units, Customer Outcomes, and multiple customer-focused teams of ML, SW, and QE engineers that bring varied perspectives and diverse expertise to drive customer adoption of AI experiences, as well as guide customer-driven innovation within the Platform Product team. What's our purpose? Accelerate value realization of AI-powered workflows by customers at scale. What we do? Work with early adopters (customers) to validate AI solutions and realize value by learning and quickly improving the solution on real customer data. We'll create practical implementation guides to support new implementations, boost adoption, and drive future product innovation. Some of the work from the team has been instrumental at improving customer adoption of our multi-language Natural Language Understanding (NLU), AI search, Task Intelligence, Issue Auto Resolution, Document Intelligence, and most recently, Generative AI with customers. What you get to do in this role: • You will implement AI products on the Now platform for our early adopter customers hands on., • Such products include all Now Assist Capabilities like LLM-powered VA Topic flows, conversational catalogs, AI Search (with Q&A) and many other latest applications., • You will also be expected to learn and support customers with existing AI products like Virtual Agent, NLU, AI Search, Issue Auto Resolution, Task Intelligence, Document Intelligence, and other upcoming capabilities before/after they hit the market. These capabilities may include classical Machine Learning Algorithms or Deep Learning based models like LLMs., • You will be expected to learn about the newly released and pre-release features by getting your hands dirty and diving deep into the products. You will become an expert at implementing AI Solutions for various customers., • You will debug and find quick workarounds for issues that are solvable on customer instances., • Act as an SME to solve complex user issues related to AI solutions., • You will not only validate these newly introduced products, but also work alongside other teams to help them quickly make improvements to the product. Help with getting product feedback to product and engineering teams to continually improve and expand product capabilities, features, and interoperability in consideration of customer needs and requirements. You will bring the on-ground issues faced by customers to the table., • Help define best practices to build and use AI products and various AI testing tools with customers and educate the team. Such tools may involve auto conflict detection, automation discovery, topic recommendation, batch testing tools, or generative AI tools., • Analyze metrics to continuously measure the quality and E2E experiences of AI solutions with actionable insights., • Prepare technical deliverables for customers in a consistent, high-quality, and timely manner., • Be the technical escalation point in solving customer issues and coordinating and prioritizing timely resolutions with our engineering team. You will be hands on resolving issues for customers as you work live with engineering teams. To be successful in this role you have: Technical Skills Must Haves: • Experience and fluency with ServiceNow Workflows and Flow Designer., • Expertise with ServiceNow scripting (Glide JavaScript) with knowledge of best practices and an understanding of why those are recommended. You should be thorough with Business Rules, Script Includes, Scheduled Jobs, Client Scripts, UI Policies., • You should have great command of Now Platform building blocks like forms, tables, app development, update sets, instance upgrades, and provisioning., • Passionate and persistent technical problem-solver with experience handling integrations with various systems and building applications on the platform to solve business problems., • We would like to dive deep into as many of the following areas as you have worked on:, • Preferred expertise with integrations and Integration Hub., • Preferred experience with any AI solution like Virtual Agent flows, AI Search, Predictive Intelligence, IAR, TI, etc., • Preferred expertise with Performance Analytics Reporting (PAR)., • Preferred knowledge of either Python or Java., • Understand Customer data by using analytical tooling and identify top issues that need to be automated., • Preferred that you understand AI model basics and have an idea about how to measure a model’s performance., • Strong customer-facing communication skills with sharp analytical skills to clearly identify the root cause of issues in products., • Identify product improvement opportunities, initiate discussions with internal teams, and carry forward the initiatives to completion., • Strong communication skills, both written and verbal, with a focus on active listening and effective contribution., • The capability to influence and provide consultation by presenting various options with their respective advantages, disadvantages, and associated risks. Such discussions would involve solving technical or business problems alike., • Interpersonal abilities coupled with a customer-centric mindset, enabling you to navigate cultural diversity effectively., • A track record of achieving ambitious goals in fast-paced and innovative settings., • Experience in documentation and presentation, particularly in supporting customer workshops and producing technical reports and tutorials., • Minimum of 8+ years of relevant work experience in a customer-facing technical role., • You have a proven track record of driving deployments with large Enterprise companies with multiple stakeholders -- preferably AI-based products., • You are confident in your programming proficiency in Java or JavaScript and enjoy thinking about business problems at a high level., • You have a passion for discovering customer use cases, identifying gaps, and resolving issues in the product. #productjobs FD21 Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate! Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. ___. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___ for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Your Career As a Principal AIOps Engineer for the Enterprise AI Platform, you will be a pivotal technical leader responsible for designing, developing, and implementing AI-driven solutions to enhance the reliability, performance, and efficiency of our critical IT and business systems. You will leverage the core AI platform to build sophisticated AIOps capabilities, transforming how we monitor, manage, and optimize our digital infrastructure and applications. This role requires a deep understanding of IT operations, machine learning, and scalable system design to proactively identify issues, automate remediation, and drive continuous improvement across the enterprise. Your Impact • AIOps Platform Development: Design, develop, and implement advanced AIOps solutions, leveraging machine learning algorithms and data analytics to automate and enhance IT operations. This includes developing real-time processing solutions for observational data (e.g., logs, metrics, events, traces)., • Anomaly Detection & Predictive Analytics: Lead the implementation of AI/ML models for proactive anomaly detection, root cause analysis, and predictive insights into system health and performance across applications and infrastructure at enterprise scale., • Intelligent Automation & Orchestration: Drive the automation of routine operational tasks, incident response, and remediation workflows using AI-driven agents and orchestration tools, minimizing manual intervention and improving operational efficiency., • Observability & Data Integration: Collaborate with observability teams to ensure the efficient collection, processing, and transformation of high-volume, cross-domain data from diverse sources (events, logs, metrics, tickets, monitoring tools) into actionable intelligence for the AIOps platform., • Incident Management & Remediation: Integrate AIOps insights with existing incident management systems, providing real-time intelligence to rapidly identify, diagnose, and resolve IT issues, leading to proactive issue resolution and reduced mean time to recovery (MTTR)., • Performance Optimization: Utilize AI insights to continuously monitor, analyze, and fine-tune IT systems for peak operational efficiency, capacity planning, and resource optimization., • Technical Leadership & Mentorship: Provide technical leadership and mentorship to other engineers, promoting architectural excellence, innovation, and best practices in AIOps development and operations., • Cross-Functional Collaboration: Partner with data scientists, ML engineers, software engineers, SREs, and IT operations teams to integrate AI/ML agents into the platform and ensure AIOps solutions align with business needs and deliver measurable ROI., • Innovation & Research: Actively research and evaluate emerging AIOps technologies, generative AI, LLM models, ChatOps AI, and advanced RAGs, bringing promising innovations into production through POCs and long-term architectural evolution. Your Experience • 10+ years of experience in software engineering, reliability engineering, or IT operations, including at least 5 years leading the design and implementation of AIOps solutions at scale., • Proven expertise in applying machine learning algorithms and data analysis techniques to solve complex IT operational challenges., • Strong hands-on experience in building and maintaining scalable data pipelines and workflows for efficient data collection, processing, and analysis from diverse IT sources., • Proficiency in programming languages such as Python, Go, Java, or Scala., • Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)., • Familiarity with data processing frameworks (e.g., Apache Kafka, Apache Spark) and IT monitoring tools (e.g., Prometheus, Grafana, Datadog, Splunk)., • Deep understanding of distributed systems architecture, microservices, and their operational challenges., • Demonstrated ability to translate business requirements and operational pain points into technical specifications and deliver robust AIOps solutions., • Excellent problem-solving skills and the ability to troubleshoot complex platform-related issues., • Strong communication and interpersonal skills, with a track record of influencing technical and cross-functional stakeholders., • Master's degree or Ph.D. in Computer Science, Machine Learning, or a related technical field., • Experience with agentic systems and AI agents for automation., • Experience with DevOps practices and CI/CD pipelines in an AIOps context. The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected /YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at ___. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role: As a member of the engineering team, you will be responsible for the development and delivery of the applications and services that power the digital wallets ecosystem. You will work closely with product, design, and analytics teams to understand payments ecosystems that our software is enabling. We're looking for talented, motivated, and detail-oriented technologists with a passion for building robust systems at scale. We value collaboration, communication, and a passion for achieving engineering and product excellence. Job Description: Meet our team: We are a team of small and self-driven engineers & product managers to deliver innovative solutions to drive business impact, on a mission to empower consumers with Digital Wallets and enable commerce globally. Your way to impact: As a Senior Machine Learning Engineer in the team, you will be leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments and mentoring of junior engineers. You will be responsible for developing industry-leading experiences that bring unquestionable value to both merchants and buyers. You will use your years of technical expertise and a solid understanding of the business domain to help us improve the scale, reliability, and performance of our platforms. Your day-to-day: • Design and deploy scalable generative AI solutions, Data Analysis based decision making, productize ML models that enhance PayPal's ability to provide a seamless customer experience, • Design and deploy scalable generative AI solutions as part of the ecosystem., • Lead architectural discussions and contribute to overall technical direction, advocating for best practices and innovative solutions., • Optimize software performance, identifying and resolving bottlenecks via monitoring, logging, and metrics to enhance the user experience., • Act as a strong advocate for clean and scalable principles and practices in all areas, including coding, documentation, automation, etc., • Be a champion of high-performing, secure, and reliable software services, • Identify critical non-functional requirements for the work your team prioritizes (Availability, Security, Performance, Scalability, and Observability), and implement them with your team., • Collaborate and communicate effectively with all technical and non-technical partners and stakeholders (Architecture, Developer Experience, Product, Design, Analytics, Legal, Marketing, etc.), • Communicate frequently with your team to ensure shared understanding around the new products and features under consideration., • Mentor and guide junior engineers, fostering their professional growth and promoting a collaborative and knowledge-sharing environment., • Understand and apply our technical architecture to ensure consistent, reliable, and secure deployments., • Enhance and maintain existing product capabilities as required., • Bring fresh ideas for continuously improving our software and your team., • Advocate for ways to avoid and remediate technical debt continuously., • Participate in program planning, influencing the product and technology roadmap and driving outcomes. What you need to bring: • 7+ Years of experience, • Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience., • Expertise in advanced analytical and statistical techniques to identify trends, issues, and opportunities, • Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models., • Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to build enhanced capabilities., • Expert in multiple Programming/scripting languages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala., • Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka., • Expertise in SQL, Excel, and visualization tools such as Tableau or Quickview., • Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs., • Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Subsidiary: PayPal Travel Percent: 0 PayPal is committed to fair and equitable compensation practices. Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit ___. The U.S. national annual pay range for this role is $84500 to $204600 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ___. Who We Are: ___ to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ___. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please ___. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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