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Juniper Square

<div>
 
 About Juniper Square
 
 
 
 Our mission is to unlock the full potential of private markets. Privately owned assets like commercial real estate, private equity, and venture capital make up half of our financial ecosystem yet remain inaccessible to most people. We are digitizing these markets, and as a result, bringing efficiency, transparency, and access to one of the most productive corners of our financial ecosystem. If you care about making the world a better place by making markets work better through technology &ndash; all while contributing as a member of a values-driven organization &ndash; we want to hear from you.
 
 
 Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.
 
 
 
 About Your Role
 
 
 
 We're looking for an AI Engineer Intern to join our team who is excited to help transform the private markets. In this role, you&rsquo;ll work alongside a talented and collaborative team focused on one of our top strategic initiatives - bringing cutting-edge AI innovation to a key product feature that will drive real change in the industry.
 
 
 As an intern, you&rsquo;ll have a hands-on role in designing, building, and testing new AI-driven product features. This isn&rsquo;t a side project - it's a core company priority with executive visibility and high impact. You&rsquo;ll work in close partnership with engineers, product leaders, and mentors who are invested in your growth and success.
 
 
 You&rsquo;ll also gain valuable exposure to company leadership, access to world-class mentorship, and the opportunity to contribute meaningfully to a product that&rsquo;s reshaping how the private markets operate. For the right person, this internship can be a launchpad into a full-time role post-graduation.
 
 
 This opportunity is perfect for someone with a strong engineering foundation who is currently pursuing a master&rsquo;s degree in AI or a related field - and who&rsquo;s excited to innovate, learn fast, and make a real-world impact.
 
 
 
 This is a remote role based in the U.S. or Canada. The internship program runs for 11 weeks at 40 hours per week, with a scheduled start date of Monday, June 8th.
 
 
 
 
 There may be an opportunity to travel to our San Francisco office the final week to participate in the annual Hackathon.
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Collaborate with engineers and product managers to design and prototype AI-powered features that directly impact a key product area at the core of our business
 </li>
 <li>
 Contribute to the development, training, and evaluation of machine learning and natural language processing (NLP) models using industry-standard tools and frameworks
 </li>
 <li>
 Work with large and complex datasets - performing data preprocessing, feature engineering, and analysis to support model development
 </li>
 <li>
 Apply foundational machine learning and deep learning techniques to solve real-world problems in the private markets space
 </li>
 <li>
 Assist with integrating AI models into production systems, including testing, validation, and iteration in collaboration with the engineering team
 </li>
 <li>
 Support ongoing research and experimentation efforts, particularly around NLP and large language models (LLMs), to drive innovation in product development
 </li>
 <li>
 Partner closely with engineering, design, and product stakeholders to evaluate the technical feasibility and ensure alignment of proposed AI features with the overall product vision and strategy.
 </li>
 <li>
 Participate in regular team meetings, code reviews, and brainstorming sessions - bringing curiosity, ideas, and technical insight to the table
 </li>
 <li>
 Receive mentorship from experienced AI and engineering leaders, while gaining exposure to company leadership and strategic initiatives
 </li>
 <li>
 Contribute to documentation and knowledge sharing to help scale AI development efforts across the team
 </li>
 <li>
 Take ownership of meaningful projects with the potential to influence long-term company strategy and product direction
 </li>
 <li>
 Embrace a growth mindset - continuously learning new tools, methodologies, and concepts in the rapidly evolving field of AI
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education &amp; Academic Background
 
 
 
 <ul>
 <li>
 Currently pursuing a Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative field (e.g., Mathematics, Statistics, Physics)
 </li>
 <li>
 Strong academic foundation with relevant coursework in algorithms, data structures, linear algebra, calculus, probability, and statistics
 </li>
 <li>
 Completed or currently enrolled in courses in machine learning, deep learning, NLP, or computer vision (highly desirable)
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficient in Python; experience with libraries such as TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas is a plus
 </li>
 <li>
 Familiarity with data manipulation, preprocessing, and feature engineering techniques
 </li>
 <li>
 Exposure to databases (SQL/NoSQL) and data querying; experience with data visualization tools (e.g., Looker, Tableau, Power BI) is a bonus
 </li>
 <li>
 Understanding of foundational ML algorithms (e.g., regression, decision trees, clustering) and the underlying mathematical concepts
 </li>
 <li>
 A strong grasp of Large Language Model (LLM) mechanisms, including knowledge of sampling strategies, structured output generation, and function-calling capabilities. Hands-on experience with prompt engineering is a strong plus
 </li>
 <li>
 Exposure to cloud platforms (e.g., AWS, GCP) and cloud-based ML services (e.g., Amazon SageMaker, Google AI Platform) is beneficial
 </li>
 <li>
 Basic knowledge of software engineering practices, including version control (Git), Agile development, and API integration (REST, GraphQL)
 
 
 </li>
 </ul>
 
 Soft Skills &amp; Mindset
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills with a high attention to detail
 </li>
 <li>
 Eagerness to learn and apply new AI concepts in a fast-paced, evolving environment
 </li>
 <li>
 Clear and effective communication skills, both written and verbal
 </li>
 <li>
 Collaborative mindset with the ability to contribute meaningfully to team discussions and technical problem-solving
 </li>
 <li>
 Self-starter with curiosity, initiative, and a proactive approach to innovation
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Personal AI/ML projects (e.g., GitHub portfolio)
 </li>
 <li>
 Participation in AI/ML competitions or hackathons
 </li>
 <li>
 Research experience or academic publications in AI-related areas
 </li>
 <li>
 Contributions to open-source projects
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 Compensation for this position includes an hourly rate. The U.S. hourly rate is $50.00 USD and the Canadian hourly rate is $57.00 CAD.
 
 
 #Juniper-US
 
 
 #Juniper-Canada
 
 
 #emergingtalent
 
 
</div>

AI Engineer (Intern)

Oracle

<div>Oracle Cloud Infrastructure (OCI) delivers mission-critical applications for top tier enterprises around the world. Our cloud offers unmatched hyperscale, multitenant services deployed in more than 50 regions worldwide. OCI is expanding its mission beyond the traditional boundaries of public cloud to include dedicated, hybrid and multi cloud, edge computing, and more.
The OCI Developer Platform is the backbone of internal and external engineering on Oracle Cloud Infrastructure, delivering CI/CD, tooling, automation and platform services at massive scale. We are evolving toward a modern, more efficient organization leveraging AI.
 
 
We are looking for a Principal AI Engineer to lead the design and implementation of AI capabilities across the OCI Developer Platform. This is a hands-on technical leadership role for someone who can operate independently, think from first principles, and build scalable AI systems from scratch in a hyperscale cloud environment.
You will identify high-impact AI opportunities, architect platform-grade solutions, and drive them from prototype to production. This role requires strong ownership, architectural depth, and the ability to influence across engineering, product, and infrastructure teams.</div>
 <div><ul><li>Collaborate with key stakeholders to define and drive the AI strategy for the OCI Developer Platform.
</li><li>Identify high-leverage AI use cases that improve developer productivity, platform intelligence, automation, and operational efficiency.
</li><li>Architect and build scalable AI/ML systems that operate reliably in large-scale cloud environments.
</li><li>Design AI-driven developer experiences (code intelligence, automation agents, platform insights, intelligent diagnostics, etc.).Lead end-to-end development: data pipelines, model development, evaluation frameworks, deployment, and monitoring.
</li><li>Partner with product, security, and infrastructure teams to align AI initiatives with platform roadmap and compliance requirements.Prototype rapidly, validate impact, and productize with enterprise-grade reliability and security.
</li><li>Mentor engineers and influence technical direction.</li></ul></div>

Principal Software Engineer - AI/ML

Call For Referral

<div>
 
 
 Machine Learning Engineer
 
 
 
 
 Work Mode:
 
 
 Remote
 
 
 
 
 Compensation:
 
 
 $100&ndash;$120 per hour
 
 
 
 
 Work Type:
 
 
 Hourly, Independent
 
 
 
 
 Role Overview
 
 
 
 This role supports the evaluation of
 
 advanced machine learning systems
 
 in collaboration with
 
 leading AI research initiatives
 
 . It is intended for
 
 experienced machine learning engineers and researchers
 
 who can contribute to the development of
 
 high-quality evaluation suites
 
 that measure AI performance on
 
 real-world machine learning engineering tasks
 
 .
 
 
 The work focuses on translating
 
 practical ML research and engineering workflows
 
 into
 
 structured benchmarks
 
 for
 
 frontier models
 
 . This is a
 
 project-based, fully remote
 
 opportunity for professionals with
 
 strong hands-on ML research and engineering experience
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and develop
 
 detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 
 Evaluate AI-generated solutions
 
 across model training, debugging, optimization, and experimentation workflows
 </li>
 <li>
 
 Analyze and document
 
 system behavior, performance characteristics, and limitations
 </li>
 <li>
 
 Contribute to the creation of benchmarks
 
 that reflect real-world ML engineering practices
 </li>
 <li>
 
 Maintain high standards
 
 of technical accuracy, clarity, and consistency in all deliverables
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 3+ years
 
 of experience in machine learning engineering or applied ML research
 </li>
 <li>
 
 Hands-on experience
 
 with model development, experimentation, and evaluation
 </li>
 <li>
 
 Background in ML research
 
 in an industry or academic setting (strongly preferred)
 </li>
 <li>
 
 Strong ability
 
 to reason about ML system design choices and technical trade-offs
 </li>
 <li>
 
 Excellent written communication skills
 
 and
 
 high attention to technical detail
 
 </li>
 </ul>
 
 
 Work &amp; Payment Details
 
 
 <ul>
 <li>
 You will operate as an
 
 independent professional
 
 </li>
 <li>
 This is a
 
 fully remote
 
 role with a
 
 flexible schedule
 
 </li>
 <li>
 Projects may be
 
 extended, shortened, or concluded
 
 based on needs and performance
 </li>
 <li>
 The work does
 
 not involve access to confidential or proprietary information
 
 from any employer, client, or institution
 </li>
 <li>
 
 Payments are made weekly
 
 via
 
 Stripe or Wise
 
 , based on services delivered
 </li>
 <li>
 Candidates requiring
 
 H1-B or STEM OPT
 
 sponsorship are
 
 not supported
 
 at this time
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 
 Upload your resume
 
 </li>
 <li>
 
 AI interview:
 
 A short
 
 15-minute
 
 conversational session to understand your background, experience, and interest in the role
 </li>
 <li>
 
 Follow-up communication
 
 within a few days with next steps and onboarding details
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer (Remote)  $100 –$120/hr

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
We are looking for a software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide. 
 
Key job responsibilities 
Key job responsibilities 
<ul><li>Design and develop net new conversational ad experiences on the Search page</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem</li><li>Pioneer new approaches to conversational AI and natural language interactions in advertising</li><li>Shape the future of how businesses connect with customers through advertising</li><li>Create scalable systems to deliver explicitly personalized ad experiences</li></ul>
What we're looking for: 
<ul><li>Passionate about Generative AI, Large Language Models, and their real-world applications</li><li>Strong software engineering skills</li><li>Creative problem-solver who thrives in ambiguity and loves tackling complex challenges</li><li>Track record of delivering innovative solutions that drive business impact</li><li>Enthusiasm for staying current with the rapidly evolving AI landscape</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Software Dev Engineer III, Conversational Ad Experiences

Scowtt

<div>
 
 About Scowtt
 
 
 
 Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action&mdash;immediately. We&rsquo;re growing fast, and onboarding new customers quickly and cleanly is core to our success.
 
 
 
 About The Role
 
 
 
 We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ideal for new graduates or early-career engineers who want hands-on experience working on real ML systems in a fast-paced, collaborative startup environment.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Assist in training, evaluating, and deploying ML models
 </li>
 <li>
 Work with structured and behavioral data used in marketing and sales systems
 </li>
 <li>
 Help automate and maintain data and ML pipelines
 </li>
 <li>
 Collaborate with engineers to integrate ML models into AI agents
 </li>
 <li>
 Debug, optimize, and improve model and pipeline performance
 </li>
 <li>
 Learn how ML systems operate in real production environments (cloud, monitoring, iteration)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, ML, Data Science, or equivalent
 </li>
 <li>
 1-3 years of experience in data structures, algorithms
 </li>
 <li>
 1-3 years of experience with machine learning concepts and workflows
 </li>
 <li>
 1-3 years of experience in coding using Python with demonstrated strong coding skills
 
 
 </li>
 </ul>
 
 Should Have
 
 
 
 <ul>
 <li>
 Exposure to ML frameworks through coursework, projects, or internships
 </li>
 <li>
 Curiosity, ownership mindset, and eagerness to learn
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Hands-on project or internship experience with real datasets
 </li>
 <li>
 Exposure to cloud platforms (GCP or AWS)
 </li>
 <li>
 Familiarity with tools like BigQuery, notebooks, or basic data pipelines
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 You contribute to shipping ML models with guidance
 </li>
 <li>
 You learn to debug data and model issues
 </li>
 <li>
 You steadily increase independence and ownership
 </li>
 <li>
 You build strong foundations in applied ML engineering
 
 
 </li>
 </ul>
 
 Pay Range And Compensation Package
 
 
 
 Based on the level hired at, the cash compensation for this role ranges between $100,000 to $150,000. Selected candidate/s will be eligible for standard benefits and startup equity.
 
 
 
 Equal Opportunity &amp; E-Verify Employer
 
 
 
 Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment.
 
 
 This employer 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. For more information, please visit www.e-verify.gov.
</div>

Machine Learning Engineer I

Software Engineer, AI Native

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<div><ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)</li><li>
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div> 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Chicago, IL, USA; Seattle, WA, USA; Sunnyvale, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.</li>
<li>10 years of experience with designing cloud-native enterprise-grade technical architecture in customer-facing or support roles.</li>
<li>1 year of experience with Conversational AI technologies, including designing conversational flows/agents and operating Speech-to-Text, Text-to-Speech (STT/TTS).</li>
<li>Experience building or leveraging AI solutions, ML APIs, prompting, agent tooling, eval frameworks, and modern AI frameworks, and embedding into demos.</li>
<li>Experience engaging with and presenting to both technical stakeholders and executive leadership.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience with building conversational applications and integrating it with third-party tooling (e.g., CRM, ticketing, telephony platforms).</li>
<li>Experience coding in Java, C++, or Python and expertise in vibe coding.</li>
<li>Familiarity with Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), machine learning templates, and document/image AI.</li>
<li>Understanding of modern development methodologies and application performance tuning.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
 
 
As an Applied AI Customer Engineer, you will accelerate Google Cloud&rsquo;s success by providing technical expertise in Conversational Artificial Intelligence and customer experience. In this role, you will bridge the gap between business issues and highly technical Generative AI solutions. You will partner with Sales teams on high-stakes engagements as a subject matter expert to differentiate Google Cloud, and will be the lead architect for advanced Conversational AI frameworks to design resilient and scalable AI solutions. You will help customers design innovative architectures and solve customer experience issues using first-party Generative AI solutions. You are both a technical expert and a thought leader who will help enterprises navigate Conversational Artificial Intelligence and customer experience from proof-of-concept to production.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<div></div><div> 
The US base salary range for this full-time position is $165,000-$245,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Serve as a trusted advisor to prospective and existing customers, explaining technical features and designing cloud-based architectures.</li>
<li>Provide technical guidance on integrating AI solutions with existing enterprise data stacks and third-party stacks such as CRM, etc.</li>
<li>Lead the rapid development of Proof-of-Concepts (PoCs) and Minimum Viable Products (MVPs), demonstrating the practical application of Google Cloud solutions, troubleshoot technical roadblocks, and recommend integration strategies for end-to-end Google Cloud solutions.</li>
<li>Collaborate with product management to prioritize solutions that drive customer adoption and share in-depth AI expertise through product briefings and technology advocacy.</li>
<li>Present the business value of Applied AI solutions to executive leaders and represent Google Cloud at conferences and industry events.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Customer Engineer III, Applied AI, Google Cloud

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