1000 Artificial Intelligence jobs in San Francisco
Artificial Intelligence Engineer
Posted today
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Responsibilities
Design and develop AI and machine learning models using Python, TensorFlow, and Keras
Collaborate with cross-functional teams to integrate AI models with existing systems
Develop and implement natural language processing (NLP) and computer vision models
Optimize AI models for performance, scalability, and reliability
Stay up-to-date with emerging AI trends and technologies
Skills Needed
3+ years of experience in AI and machine learning development
Strong knowledge of AI frameworks (TensorFlow, PyTorch, Keras)
Experience with NLP and computer vision models
Strong understanding of machine learning algorithms and statistical modeling
Experience with cloud-based AI platforms (AWS SageMaker, Google Cloud AI Platform)
Excellent problem-solving and communication skills
Qualifications
Master's degree in Computer Science, Artificial Intelligence, or related field
Certified AI Engineer or related certification (optional)
Proven experience in designing and developing AI and machine learning models
Strong understanding of AI concepts and technologies
What We Offer
Competitive hourly rate ($80-$95 per hour)
Opportunity to work with a dynamic and growing organization
Collaborative and supportive work environment
Professional development opportunities
Flexible working hours and remote work options
Director, Artificial intelligence & Innovation
Posted 1 day ago
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**Key Accountabilities:**
+ **Team Management** : Manage a team of data scientists to bring advanced analytical algorithms and modeling approaches to solving BMO Commercial Banking business problems.
+ **Stakeholder Collaboration** : Partner with stakeholders across the Commercial Bank to uncover opportunities and work with the Data Science team and Sr. Manager, Strategy and Governance to develop a prioritized roadmap that aligns with BMO Commercial and BMO's overall strategic objectives.
+ **Data Sourcing** : Collaborate with the Data Engineering and Model Operations team to source data required for model development and operations.
+ **Solution Development** : Develop solutions appropriate to the problem statements, in partnership with stakeholders, to ensure that solutions integrate optimally with business processes.
+ **Governance Compliance** : Work with the Sr. Manager, Strategy and Governance to ensure that various governance requirements are met, including but not limited to Responsible AI, Model Validation, Legal, Regulatory, and Compliance requirements.
+ **Model Validation** : Prepare the appropriate artifacts to fulfill the bank's Model Validation and Model Risk Management requirements, when required.
+ **Oversight and Monitoring** : Along with the Data Engineering and Model Operations team, provide oversight and ongoing monitoring over deployed analytical assets and models, take appropriate action when required, and support inquiries from model users, leadership, and 2nd line groups.
+ **Advanced Analytics** : Use data mining and extracting usable data from valuable data sources to assess the feasibility of AI/ML solutions for improved processing and usage of organization data.
+ **Large-scale Analysis** : Conduct large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
+ **Recommendations** : Use analysis to provide recommendations and advice for business leaders to maintain market competitiveness.
+ **Prediction Systems** : Develop prediction systems and machine learning algorithms.
+ **Innovative Solutions** : Investigate additional technologies and tools for developing innovative data solutions for business stakeholders.
+ **Data-driven Decision Making** : Collaborate with the product team and partners to understand and provide data-driven decision making, business planning, and future roadmap.
+ **Culture and Values** : Foster a culture aligned to BMO purpose, values, and strategy, and role model BMO values and behaviors in all that they do and ensure alignment between values and behavior that fosters diversity and inclusion.
+ **Inspirational Goals** : Regularly connect work to BMO's purpose, set inspirational goals, define clear expected outcomes, and ensure clear accountability for follow-through.
+ **Team Collaboration** : Build interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
+ Talent Development: Attract, retain, and enable the career development of top talent.
+ **Performance Management** : Improve team performance, recognize and reward performance, coach employees, support their development, and manage poor performance.
+ **Enterprise-wide Influence** : Operate at a group/enterprise-wide level and serve as a senior specialist resource across BMO.
+ **Creative Problem Solving** : Apply expertise and think creatively to address unique or ambiguous situations and find solutions to multiple, interdependent, complex problems.
+ **Communication** : Communicate abstract concepts in simple terms.
+ **Networking** : Foster strong internal and external networks and work with and across multiple teams to achieve business objectives.
+ **Trend Response** : Anticipate trends and respond by implementing appropriate changes.
+ **Broader Accountabilities** : Broader work or accountabilities may be assigned as needed.
**Qualifications:**
Expert level of proficiency in:
+ Mathematics, statistics & operations research
+ Artificial intelligence
+ Deep learning
+ Machine learning
+ Trust, bias, and ethics
+ Creative thinking
+ Critical thinking
+ Big data
+ Data visualization
+ Computational thinking and programming
+ Data wrangling
+ Data preprocessing
+ Creative reasoning
+ Verbal & written communication skills
+ Analytical and problem-solving skills
+ Influence skills
+ Collaboration & team skills, with a focus on cross-group collaboration
+ Ability to manage ambiguity
+ Data-driven decision making
+ Typically 9+ years of relevant experience and/or certification in a related field of study or an equivalent combination of education and experience.
+ Seasoned expert with extensive industry knowledge.
+ Technical leader viewed as a thought leader for innovation.
**Salary:**
$164,400.00 - $285,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
Product Owner - Artificial Intelligence - LSHCERU
Posted 18 days ago
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Product Owner - Artificial Intelligence - LSHCERU Join to apply for the Product Owner - Artificial Intelligence - LSHCERU role at Tata Consultancy Services . Role Overview The Product Owner - Artificial Intelligence is responsible for managing the development, deployment, and lifecycle of AI-powered products within the Life Sciences, Healthcare, Energy, Resources, and Utilities industries. They ensure that AI solutions meet technical standards, align with user needs, ethical considerations, and business strategies. Responsibilities Bridge the gap between business needs, customer expectations, and technical capabilities of AI solutions. Manage the lifecycle of AI products from conception to deployment and maintenance. Collaborate with technical teams to ensure AI solutions are feasible and effective. Technical Skills & Experience Minimum of 8 years of relevant experience in product management or AI development. Proficiency in programming languages such as Python and SQL. Experience with AI development tools, auto ML platforms, and cloud infrastructure. Effective communication skills with technical teams. Industry experience in Life Sciences, Healthcare, Energy, Resources, or Utilities sectors. Additional Details Location: San Francisco, CA, with consideration for other US locations (compensation for Bay Area). Salary Range: $137,280 - $205,400. Seniority Level: Mid-Senior level. Employment Type: Full-time. Job Function: Product Management and Marketing. Industry: IT Services and IT Consulting. #J-18808-Ljbffr
Artificial Intelligence Specialist (San Francisco)
Posted 6 days ago
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Direct message the job poster from Bestinfo Systems LLC
Global Delivery Head BestInfo Systems LLC, Founder & CEO Best Infosystems LtdPosition: AI Agent Builder
Job Type: Full-Time (FTE)
Base Salary: $100,000 to $00,000 + Best-in-class benefits
Role Impact:This is a hybrid position focusing on the quick and iterative development of AI agents and frameworks, as well as advancing the underlying infrastructure. You will:
- Build next-generation AI agents for workload management and automation.
- Develop the underlying agent infrastructure powering various types of agents.
- Engage in DevRel and create content to promote adoption, foster community collaboration, and align technical and product goals.
- Prototype & Iterate: Build and refine AI agents for workload management, automation, and real-time decision-making.
- Framework Integration: Extend agent frameworks to accommodate evolving features and performance needs.
- Experimental Features: Explore new capabilities like multi-agent collaboration and memory architectures to inform design decisions.
- Python (FastAPI, Async): Building agent logic, REST APIs, backend services.
- Pytorch
- TypeScript/React/Next.js: Creating dashboards and visualizations for monitoring.
- Real-time & WebSocket Systems: Building streaming or live-updating UIs.
- API Design: Crafting intuitive interfaces for agent communication.
- Rust: Systems programming for high-performance components.
- Kubernetes, Docker: Container orchestration and deployment.
- Infrastructure automation and configuration management.
- Cloud Experience: Familiarity with scalable, cost-effective infrastructure.
- GPU/ML Infrastructure: Optimizing training and inference on GPUs.
- Advanced AI/ML Knowledge: Understanding model architectures and workflows.
- High-Performance Networking: Building low-latency data pipelines.
- Open-Source Contributions: Proven community-driven project experience.
Seniority Level: Mid-Senior
Minimum Education: Bachelor's Degree
Additional Details:- Employment Type: Full-time
- Job Function: Information Technology and Engineering
- Industries: Information Services, Technology, Media, Software Development
Referrals increase your chances of interviewing at Bestinfo Systems LLC by 2x.
Sign in to set job alerts for “Artificial Intelligence Specialist” roles.Location: San Francisco, CA
Salary Range: $90, 00 - 300,000 (various postings)
#J-18808-LjbffrSenior Quant, Artificial Intelligence/Machine Learning
Posted 1 day ago
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**Job Description**
We're looking for a sharp individual contributor who's adept at advanced AI/ML algorithms and their applications in financial institutions to join our AI/ML Validation Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank's Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.
As a Senior Quant you will develop benchmark AI/ML models, provide validation expertise and consulting services related to AI/ML model development and model review, including best practices on algorithm development and selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation. In addition, you will be responsible for conducting R&D for various AI/ML methodologies and their potential applications and use cases.
Deliverables include reviewing model development documentation, independently testing of advanced AI/ML and Generative AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.
**Basic Qualifications**
- Bachelor's degree in a quantitative field required with at least 10 years of relevant experience
OR
- MA/MS in a quantitative field, and 6 or more years of related experience
OR
- PhD in a quantitative field, and 5 or more years of related experience
**Preferred Skills/Experience**
- Strong statistical modeling or computer science background and hands on model development or validation skills
- Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM.
- Experience with building complex deep learning architectures such as MLPs, RNNs, CNNs and Generative AI frameworks such as RAG and Agentic AI.
- Strong programming skills using Python packages such as Numpy, Pandas, and scikit-learn.
- Hands on experience with deep learning or LLM software frameworks such as PyTorch, Tensorflow/Keras, MXNet, LangChain and Llamaindex are strongly preferred
- Research experience and publications on AI or Gen AI are preferred
- Experience in financial industry is preferred but not required
- Advanced understanding of Model Risk Management and OCC SR 11-7 is a plus
- Demonstrated independence, teamwork and leadership skills
- Strong project management skills
- Excellent written and verbal communication skills
**_NOTE: This role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days._**
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
Digital Assurance & Transparency - Artificial Intelligence - Senior Associate
Posted 1 day ago
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**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 40%
At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.
Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Respond effectively to the diverse perspectives, needs, and feelings of others.
+ Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
+ Use critical thinking to break down complex concepts.
+ Understand the broader objectives of your project or role and how your work fits into the overall strategy.
+ Develop a deeper understanding of the business context and how it is changing.
+ Use reflection to develop self awareness, enhance strengths and address development areas.
+ Interpret data to inform insights and recommendations.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the AI Tech team you will lead teams and manage client accounts for successful project delivery. As a Senior Associate, you will analyze complex problems, mentor junior staff, and maintain standards while delivering technology-enabled, data-driven solutions. This role offers the chance to cultivate meaningful client relationships and employ strategic thinking using advanced technologies like AI and cloud solutions.
Responsibilities
- Manage auditing, consulting, and testing engagements with a focus on solution implementation
- Deliver innovative, technology-driven solutions utilizing data analytics
- Support strategic planning and execution of client projects
- Maintain knowledge of and compliance with current and emerging standards
- Enhance project delivery using firm methodologies, technology resources, and data visualization tools
What You Must Have
- Bachelor's Degree
- 2 years of specific professional experience in one or more of the following areas: AI/ML model testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or digital systems
- Experience with model evaluation frameworks, testing protocols, and/or trust standards such as NIST AI Risk Management Framework or responsible AI practices
- Familiarity with the data science / AI lifecycle and related data governance, data engineering, and model deployment disciplines as well as data science /AI development technologies
- Familiarity with AI concepts, including how use cases are being applied across business functions
What Sets You Apart
- Preferred Field(s) of Study: Computer Science, Data Processing/Analytics/Science, Statistics, Management Information Systems & Accounting, Mathematics, Physics, Economics and Finance & Technology, Business Administration/Management, Accounting & Technology, Regulatory Compliance preferred
- Leveraging an understanding of fundamental and technological risks, processes, and internal controls related to transparency, reporting, and artificial intelligence
- Knowledge of NIST, ISO and/or other leading business and risk management frameworks for AI
- Designing and developing AI governance operating models, technical standards, policies and procedures
- Operating within essential internal processes of a professional services firm
- Demonstrating knowledge of legal and regulatory landscapes relevant to AI
- Managing projects assessing governance, risk, and control programs
- Leading AI/ML and emerging technology control efforts
- Familiarity with tensorflow, pytorch, or langchain coding frameworks and Cloud platforms
- Designing AI governance operating models and policies
- Coaching teams on emerging data technologies and analytics-driven assessments
- Translating technical concepts for non-technical stakeholders
- Familiarity with the data science and AI lifecycle
- Subject matter knowledge to support the development of thought leadership
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an?equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law?
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $72,000 - $212,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:
Product Owner - Artificial Intelligence - LSHCERU (San Francisco)
Posted 8 days ago
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Join to apply for the Product Owner - Artificial Intelligence - LSHCERU role at Tata Consultancy Services .
Role OverviewThe Product Owner - Artificial Intelligence is responsible for managing the development, deployment, and lifecycle of AI-powered products within the Life Sciences, Healthcare, Energy, Resources, and Utilities industries. They ensure that AI solutions meet technical standards, align with user needs, ethical considerations, and business strategies.
Responsibilities- Bridge the gap between business needs, customer expectations, and technical capabilities of AI solutions.
- Manage the lifecycle of AI products from conception to deployment and maintenance.
- Collaborate with technical teams to ensure AI solutions are feasible and effective.
- Minimum of 8 years of relevant experience in product management or AI development.
- Proficiency in programming languages such as Python and SQL.
- Experience with AI development tools, auto ML platforms, and cloud infrastructure.
- Effective communication skills with technical teams.
- Industry experience in Life Sciences, Healthcare, Energy, Resources, or Utilities sectors.
Location: San Francisco, CA, with consideration for other US locations (compensation for Bay Area). Salary Range: $137,280 - $205,400. Seniority Level: Mid-Senior level. Employment Type: Full-time. Job Function: Product Management and Marketing. Industry: IT Services and IT Consulting.
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Vice President, Artificial Intelligence - Remote USA (*eligible states)
Posted 8 days ago
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As a Vice President of Data & AI/ML at The RealReal you'll drive our Science, Machine Learning and Data Engineering Organization. You will own critical systems throughout the platform and be responsible for your team's performance, delivering impact to the organization on both top and bottom line, and be a contributing and collaborative member of the tech team and company.
*States Not Eligible: AK, AR, DE, KS, MS, ND, SD, WY
What You Get To Do Every Day
- Develop and manage the strategy, and supporting roadmap, for the Science, ML/AI and Data Engineering functions
- Manage the Scientists, ML Engineers and Data Engineers
- Own the company data pipelines supporting core analytics, reporting, finance and related functions
- Own and develop ML/AI services that solve real pain points and frustrations for the customer and deliver measurable business value
- Collaborate with leadership, Product management, Design, engineering groups and other company stakeholders in the development of impactful products that use our differentiated data
- Lead, develop and mentor team members to build the company's overall expertise in Science, Machine Learning and Data Engineering
- Work to make The RealReal an innovator in the space by bringing passion and new ideas to work every day
- Lead effort to scale ML model performance, debugging and monitoring ML applications and tuning pipelines
- Process engineering and re-engineering to optimize and ensure TRR can address challenges that may occur when integrating our models into workflows, applications and/or systems.
- Lead the adoption, use and governance of common tools and techniques to build large-scale AI applications, including productionizing models, continuous and automated learning, and other best practices
- Architect and maintain TRR enterprise AI, Machine Learning and Data ecosystem and sustainable infrastructure to serve the needs of our Scientist teams; support our data-driven business activities at large scale
- Perform R&D on new technologies and solutions to improve accessibility, scalability, efficiency and abilities of machine learning and analytics platforms
- Influence how ML/AI can be used to create demand, enable sales, and support different organizations including product, merchandising and marketing with predictive and prescriptive intelligence
- Collaborate with Analytics, Research and Insights team on how to optimize, improve and create action plans as we continue to leverage our data and understand our customers more deeply
Minimum Requirements:
- 15+ years of progressive business experience in the data management / big data, data science, and AI/ML domain, including 5+ years of senior leadership experience building and leading successful Data and ML/AI organizations
- Experience with creating and deploying ML/AI plans and capabilities across the organization that had significant business impact
- Proficient in translating business strategy into a Data Science and AI/ML vision, driving the creation and execution of a multi-year roadmap with a focus on data strategy, architecture, engineering, data science, data mining, and machine learning / AI
- Demonstrated ability to develop and deliver compelling executive-level presentations
- Excellent verbal & written communication skills with demonstrated ability to convey complex concepts and analyses in an accessible and compelling way
- Demonstrated ability to lead projects and teams in a fast-paced environment and to inspire rapid adoption of change in a complex matrixed organization with distributed virtual teams
- A results-driven leader with exceptional business vision and strategic acumen, proven in solving complex problems, cultivating creativity, and effectively extracting the broader business narrative from facts and data
- Experienced in implementing an enterprise-level Data Governance program, fostering partnerships across the business, and employing best practices to ensure data consistency across Data and Analytics platforms, tools, and solutions
- Employee Stock Purchase Plan
- 401K with Company Match
- Medical, Dental & Vision Insurance
- Paid Parental Leave
- 9 Paid Company Holidays
- Flexible Time Off (With Manager Approval)
- Find out more about our Benefits here.
The expected salary range for this role is $290,000-$325,000. To determine starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate's skills, experience, market demands, and internal parity. Additionally, salary is just one component of TRR's total rewards package. Depending on role, employees may also be eligible for a bonus program, incentive pay and benefits.
The RealReal is the world's largest online marketplace for authenticated, resale luxury goods, with 37 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists, and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categories-including women's and men's fashion, fine jewelry and watches, art, and home-in support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off, and direct shipping. We handle all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as shipping and customer service.
The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records. At TRR, People Come First. That's why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our Diversity Equity and Inclusion program here.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
Chief Artificial Intelligence Officer / CAIO / Head of AI (San Francisco)
Posted 1 day ago
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This range is provided by Aventis Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$120,000.00/yr - $10,000.00/yr
Aventis Solutions is igniting the AI revolution: now, we're partnering with a major technology-led enterprise to help build out a new AI Innovation Team at the very top level. To lead this effort, we're hiring a Chief AI Officer to oversee strategy, delivery, and capability building across the business. This is a brand-new role created to deliver real enterprise transformation, designed to bridge the gap between data leadership, technology teams, and the CIO.
You will define, champion and operationalise the organisation’s approach to artificial intelligence, while ensuring alignment with both commercial goals and rigorous governance. The brief is broad: from shaping vision and roadmap, to building and leading cross-functional AI teams, to working with senior stakeholders on use cases and adoption.
It is an opportunity to take real ownership of AI strategy in a business with significant ambition, budget, and executive support.
- Salary Bracket: $2 0,000–$3 5,000 base plus mega performance bonus, and a comprehensive benefits package
- Location: Remote-based with a new tech hub in San Francisco Bay, California. Corporate hubs in Dallas and New York.
- Career Outlook: Board-level visibility, the chance to establish the AI function from scratch, and a long-term path to be a globally recognised CAIO.
Role Overview:
- Define and lead the organisation’s AI strategy, balancing commercial impact, operational delivery, and risk management
- Build, manage, and develop a multi-disciplinary AI Innovation Team, covering engineering, data science, product and governance
- Bridge the gap between CIO-level priorities, enterprise architecture, and data/analytics leadership, ensuring a cohesive approach to AI transformation
- Partner with product, technology and business leaders to identify, validate and deliver high-value AI use cases
- Champion responsible AI practices, data ethics, and robust governance frameworks to manage enterprise risk
- Guide technology investment decisions in AI platforms, tooling, LLM integrations and infrastructure
Key Skills and Knowledge Desired:
- Strategic AI Leadership: Proven experience defining and executing GenAI strategies
- AI and ML: Understanding of the AI/ML landscape, including LLMs, MLOps, agentic frameworks, and orchestration tools
- Data Foundations: Strong knowledge of modern data platforms such as Snowflake, Databricks, BigQuery, and data integration strategies
- Cloud-Native Mindset: Familiarity with AWS, Azure or GCP, including their AI/ML services (SageMaker, Vertex AI, AzureML)
- LLM Tooling and APIs: Understanding of OpenAI, Anthropic, Cohere, Mistral, and practical experience integrating LLMs into enterprise products
- Governance and Risk Management: Expertise in data ethics, responsible AI, regulatory compliance and information security
- Commercial Acumen: Ability to translate technical opportunities into clear business cases with measurable ROI
- Stakeholder Management: Credibility and influence at C-suite and board level, with strong communication skills
What You’ll Be Doing:
You will have the mandate and backing to recruit top talent, shape technology choices, and ensure that AI strategy is both ambitious and grounded. You will work closely with the CIO and CTO to align AI adoption with wider technology modernisation efforts, helping the business become genuinely data-driven while managing risk and regulatory expectations.
This is a rare opportunity to build something meaningful from the ground up, in an environment that values innovation, accountability, and long-term thinking.
Believe the hype!
Interested? Please submit your CV via LinkedIn or message Billy Hall for further information.
Aventis Solutions is acting on behalf of our partner.
Seniority level- Seniority level Director
- Employment type Full-time
- Job function Information Technology, Product Management, and Project Management
- Industries Software Development, Data Infrastructure and Analytics, and Technology, Information and Media
Referrals increase your chances of interviewing at Aventis Solutions by 2x
Inferred from the description for this jobMedical insurance
401(k)
Pension plan
Disability insurance
Vision insurance
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#J-18808-LjbffrHead of Product, Computer Vision and Artificial Intelligence (San Mateo)
Posted 8 days ago
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Job Description
Verkada is a leader in cloud-based B2B physical security. Verkada offers six product lines - video security cameras, access control, environmental sensors, alarms, workplace and intercoms - integrated with a single cloud-based software platform.
Designed with simplicity and scalability in mind, Verkada gives organizations the real-time insight to know what could impact the safety and comfort of people throughout their physical environment, while empowering them to take immediate action to minimize security risks, workplace frustrations and costly inefficiencies.
Founded in 2016, Verkada has expanded rapidly with 15 offices across three continents, 2,100+ full-time employees and 30,000+ customers across 70+ countries.
Who We Are
Verkada is a leader in cloud-based B2B physical security. Verkada offers six product lines - video security cameras, access control, environmental sensors, alarms, workplace and intercoms - integrated with a single cloud-based software platform. Designed with simplicity and scalability in mind, Verkada gives organizations the real-time insight to know what could impact the safety and comfort of people throughout their physical environment, while empowering them to take immediate action to minimize security risks, workplace frustrations and costly inefficiencies. Founded in 2016, Verkada has expanded rapidly with 15 offices across three continents, 2,100+ full-time employees and 30,000+ customers across 70+ countries. Overview
The Cameras team at Verkada is revolutionizing enterprise security with cutting-edge technology that prevents crime, enhances workplace experiences, and drives operational efficiency for businesses worldwide. As a product leader on our flagship product line, you'll play a pivotal role in establishing Verkada as the undisputed market leader in enterprise video security. You'll shape the future of AI-powered video intelligence, advancing critical capabilities like people and vehicle detection across millions of devices in diverse industries and environments. Partnering with an elite team of PhD engineers, you'll push the boundaries of computer vision and artificial intelligence to redefine physical security. Join us in building technology that protects businesses, empowers teams, and makes the world a safer place.
Responsibilities:
- Lead a dedicated team of engineers and designers to tackle a massive product category
- Deeply understand current customer use cases and challenges with existing solutions
- Develop and drive our Cameras roadmap to become the #1 player in the category
- Identify new AI and computer vision technologies that will improve customer experiences and differentiate our offering
- Define feature sets that will help our customers protect their people and property
- Launch into our established sales channel and reseller network. Own pricing, go-to-market positioning, and sales training
- Define success metrics; optimize development and communication processes
- Partner with product marketing on deliverables for product launches
Requirements:
- Proven history of launching and scaling new AI or CV based products. Strong customer intuition and technical depth will be critical to success in this role
- Ability to lead across strategy and execution. We pride ourselves in sweating the details and search for this in candidates
- Real passion for craftsmanship and product details. If you've spent days retrofitting your house with the latest smart home technology, you'll like it here
- 5-8+ years of experience in product or engineering leadership
- Undergraduate degree in Computer Science, Electrical Engineering, or similar quantitative field. MS, PhD, or MBA optional
US Employee Benefits:
Verkada is committed to investing in the holistic health and wellbeing of all employees and their families. Our benefits and perks programs include, but are not limited to:
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under most plans and 80% for family premiums
- Nationwide medical, vision and dental coverage
- Health Saving Account (HSA) and Flexible Spending Account (FSA) with tax saving options
- Expanded mental health support
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Wellness/fitness benefits
- Healthy lunches and dinners provided daily
Annual Pay Range
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs)
Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).
Estimated Annual Pay Range $200,000 — $275,000 USD Verkada Is An Equal Opportunity EmployerAs an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
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