11 jobs found

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We're looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote (). You're excited about this opportunity because you will Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space Partner with engineering and product leaders to help shape the product roadmap applying ML Mentor junior team members, and lead cross functional pods to create collective impact You can find out more on our ML blog here We're excited about you because you have 8+ years of industry experiencedeveloping machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs is a plus. Machine learning background in Python; experience with PyTorch or TensorFlow preferred. Ability to communicate technical details to nontechnical stakeholders You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down Desire for impact with a growth-minded and collaborative mindset Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4 $137,100-$201,600 USD I5 $167,800-$246,800 USD I6 $203,500-$299,300 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024 . click apply for full job details

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We're looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote (). You're excited about this opportunity because you will Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space Partner with engineering and product leaders to help shape the product roadmap applying ML Mentor junior team members, and lead cross functional pods to create collective impact You can find out more on our ML blog here We're excited about you because you have 8+ years of industry experiencedeveloping machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs is a plus. Machine learning background in Python; experience with PyTorch or TensorFlow preferred. Ability to communicate technical details to nontechnical stakeholders You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down Desire for impact with a growth-minded and collaborative mindset Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4 $137,100-$201,600 USD I5 $167,800-$246,800 USD I6 $203,500-$299,300 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024 . click apply for full job details

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit . Location: US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be. Advertising is Reddit's primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business. About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling. About the Role: Reddit's Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization. Responsibilities: Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit's Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph. Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement. Qualifications: Required: Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research For M.S. holders: 10+ years of industry experience in applied science or data science roles For Ph.D. holders: 6+ years of industry experience in applied science or data science roles Deep understanding of the ads ecosystem Demonstrated expertise in at least one of the following areas: Measurement & Experimentation at Scale (with focus on lift and attribution) Identity Graph Creation & Resolution Methodology and Infrastructure Predictive Modeling with Signal Loss Advanced proficiency in statistical programming (Python or R) and SQL Experience with machine learning or optimization techniques Strong understanding of experimental design, causal inference, or A/B testing methodologies Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners Experience working in fast-paced, ambiguous environments with cross-functional teams Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000-$303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Job Description: VP, DATA SCIENCE - GenAI Technology Note: Fidelity will not provide immigration sponsorship for this position The Role This is an individual contributor data science (with a focus on GenAI) role. The Applied GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated data scientist with proven experience in GenAI-related projects, machine learning, and data science. In this role, the individual leads GenAI projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals, as well as form alignment on next steps. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems. Able to execute on multiple initiatives in parallel. Plays an active mentorship role to others in the team. You will have: PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 7 plus years of industrial experience. Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding; emphasis on putting (or working with) LLM-based applications in production Experience working and closely collaborating with an Engineering team, sharing best development practices under a common goal of shipping reliable software Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools Experience taking an application from research to production and realizing measurable value from it to the team or firm Ability to work on and drive progress for multiple projects or initiatives at the same time Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions or consulting sessions Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results Excellent planning, project management, communication, leadership, and research skills Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges The Team We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML and LLM-based solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from the exploratory phase all the way to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models in a rapidly evolving space. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $140,000-285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Data Analytics and Insights

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution-working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: As a Technical Support Engineer - III (Cloud) at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind. In this role, you will: Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave. Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA). Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues. Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes. Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices. Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions. Contribute to refining processes, workflows, and playbooks for handling complex customer challenges. Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches. Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides. Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives. Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required. Who You Are: Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles Proven hands-on work experience with Kubernetes Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback Experience with observability tools such as Grafana Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions Preferred: CKA Certified Demonstrated experience with training, coaching, and creating onboarding materials. Operates in a fast-paced, global, 24/7 support team environment Ability to collaborate across different time zones On-site office environment, hybrid, or remote options depending on location Flexible to travel up to 10% ( 25 days/year) Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to dive into problems, test for solutions, and enjoy engaging with customers. You're curious about AI. You're an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $122,000 to $163,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 . click apply for full job details

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution-working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: As a Technical Support Engineer - III (Cloud) at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind. In this role, you will: Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave. Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA). Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues. Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes. Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices. Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions. Contribute to refining processes, workflows, and playbooks for handling complex customer challenges. Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches. Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides. Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives. Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required. Who You Are: Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles Proven hands-on work experience with Kubernetes Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback Experience with observability tools such as Grafana Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions Preferred: CKA Certified Demonstrated experience with training, coaching, and creating onboarding materials. Operates in a fast-paced, global, 24/7 support team environment Ability to collaborate across different time zones On-site office environment, hybrid, or remote options depending on location Flexible to travel up to 10% ( 25 days/year) Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to dive into problems, test for solutions, and enjoy engaging with customers. You're curious about AI. You're an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $122,000 to $163,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 . click apply for full job details

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution-working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: As a Technical Support Engineer - III (Cloud) at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind. In this role, you will: Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave. Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA). Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues. Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes. Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices. Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions. Contribute to refining processes, workflows, and playbooks for handling complex customer challenges. Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches. Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides. Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives. Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required. Who You Are: Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles Proven hands-on work experience with Kubernetes Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback Experience with observability tools such as Grafana Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions Preferred: CKA Certified Demonstrated experience with training, coaching, and creating onboarding materials. Operates in a fast-paced, global, 24/7 support team environment Ability to collaborate across different time zones On-site office environment, hybrid, or remote options depending on location Flexible to travel up to 10% ( 25 days/year) Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to dive into problems, test for solutions, and enjoy engaging with customers. You're curious about AI. You're an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $122,000 to $163,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 . click apply for full job details

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution-working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: As a Technical Support Engineer - III (Cloud) at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind. In this role, you will: Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave. Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA). Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues. Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes. Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices. Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions. Contribute to refining processes, workflows, and playbooks for handling complex customer challenges. Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches. Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides. Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives. Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required. Who You Are: Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles Proven hands-on work experience with Kubernetes Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback Experience with observability tools such as Grafana Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions Preferred: CKA Certified Demonstrated experience with training, coaching, and creating onboarding materials. Operates in a fast-paced, global, 24/7 support team environment Ability to collaborate across different time zones On-site office environment, hybrid, or remote options depending on location Flexible to travel up to 10% ( 25 days/year) Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to dive into problems, test for solutions, and enjoy engaging with customers. You're curious about AI. You're an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $122,000 to $163,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 . click apply for full job details

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution-working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: As a Technical Support Engineer - III (Cloud) at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind. In this role, you will: Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave. Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA). Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues. Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes. Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices. Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions. Contribute to refining processes, workflows, and playbooks for handling complex customer challenges. Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches. Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides. Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives. Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required. Who You Are: Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles Proven hands-on work experience with Kubernetes Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback Experience with observability tools such as Grafana Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions Preferred: CKA Certified Demonstrated experience with training, coaching, and creating onboarding materials. Operates in a fast-paced, global, 24/7 support team environment Ability to collaborate across different time zones On-site office environment, hybrid, or remote options depending on location Flexible to travel up to 10% ( 25 days/year) Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to dive into problems, test for solutions, and enjoy engaging with customers. You're curious about AI. You're an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $122,000 to $163,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 . click apply for full job details

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 Team & Mission: In the Oracle Perception team, our mission is to build the ultimate cognitive engine for autonomous driving. We are pioneering the use of large multimodal foundation models (e.g., Gemini) to build a powerful offboard reasoning and data flywheel system. We are moving beyond traditional perception to true scene understanding and driving actions-building offboard models that can comprehend complex driving problems, predict object/scene dynamics, and deduce driving paths with logical rationale. Our core focus is advancing the VLM foundation itself. By pushing the boundaries of multimodal pre-training and state-of-the-art post-training (SFT, RL) , we are creating models capable of rich, reasoning-based autolabeling at a massive scale. This closed-loop data engine directly powers the training and evolution of Waymo's real-time onboard models. If you are passionate about defining VLM training recipes, scaling laws, and unlocking complex reasoning via RL, this is your opportunity to redefine the foundation of autonomous driving. In this hybrid role, you will report to a Senior Staff Technical Lead Manager. You Will: Drive Pre-training & Domain Adaptation: Lead the technical strategy for curating and constructing massive-scale, high-quality multimodal pre-training datasets. Define data mixture strategies to instill deep, Waymo-specific driving intuition and physics-grounded understanding into foundation models without catastrophic forgetting. Lead Post-Training & Reasoning Enhancement: Design and implement state-of-the-art fine-tuning (SFT) and Reinforcement Learning (RLHF/RLAIF, DPO/GRPO/PPO) pipelines. Drastically improve the model's instruction-following and complex reasoning capabilities (e.g., Chain-of-Thought, spatial-temporal reasoning, and driving rationale prediction). Pioneer the VLM Data Flywheel: Architect the highly scalable inference and evaluation pipelines that leverage these trained Gemini-class models to autonomously source, sample, and autolabel critical edge cases, directly accelerating the onboard perception models. Define Training Recipes & Scaling Laws: Conduct rigorous ablation studies to optimize model architectures, token budgets, and loss functions. Establish best practices for scaling multimodal training efficiently on large GPU/TPU clusters. Drive Cross-Functional AI Strategy: Act as the principal technical visionary across ML Infra, Perception, Behavior, and AI Foundation teams. Drive consensus on the data flywheel architecture and embed VLM reasoning capabilities seamlessly into the broader autonomous vehicle stack. Provide Staff-Level Technical Leadership: Own the long-term technical roadmap for foundation model development. Mentor senior engineers, lead rigorous design reviews, and establish standard-setting engineering practices from advanced prototyping to production deployment. You Have: Master's degree in Computer Science, AI, ML, or a related technical field. 8+ years of hands-on experience designing, training, and scaling deep learning models, with at least 3+ years focused deeply on training Large Language Models (LLMs) or Vision-Language Models (VLMs) . Proven expertise in the full lifecycle of Foundation Models: from pre-training data curation (interleaved formats, tokenization) and distributed training to advanced post-training techniques. Expert-level understanding of training infrastructure and distributed paradigms (e.g., FSDP, Megatron, JAX/Pax) required for training massive models reliably. Expert-level software engineering fundamentals using Python, PyTorch, or JAX, with a track record of building reliable, highly scalable ML systems. Proven ability to operate with high ambiguity, define technical roadmaps, and drive complex, multi-quarter technical initiatives across multiple teams in a fast-paced environment. We Prefer: PhD in Computer Science, Artificial Intelligence, or a related field. Strong publication record in top-tier AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) focusing on foundation models, large-scale training, reinforcement learning, or reasoning. Deep experience with advanced Reinforcement Learning paradigms applied to language or vision tasks ( focusing on improving System 2 thinking, logical deduction, and model alignment ). Demonstrated experience in Data Engineering for Foundation Models at the scale of billions/trillions of tokens (e.g., deduplication, quality filtering, synthetic data generation). Familiarity with the systemic challenges of multimodal perception in robotics or autonomous driving (e.g., 3D scene understanding, trajectory prediction). A proven track record of Staff-level impact: influencing product direction, pioneering zero-to-one ML architectures, and multiplying team efficiency through technical leadership. 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 $251,000-$310,000 USD