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Ai Optimization Jobs in California (NOW HIRING)

Optimization Engineer

San Jose, CA · On-site

$130K - $200K/yr

This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously ... Efficient's Optimization Engineers optimize and benchmark applications, libraries, and kernels for ...

Keep pace with SEO, editorial, AI search, content discovery, and digital marketing industry trends and developments Required Qualifications: * 3+ years' experience in content & editorial SEO * ...

They are seeking a Staff Engineer - AI Model Optimization Architect to lead model transformation and optimization efforts for various AI models on Qualcomm's inference accelerators. Responsibilities ...

We are seeking a Staff Engineer - AI Model Optimization Architect to lead end-to-end model transformation and optimization for LLMs, VLMs, diffusion, and multimodal models on Qualcomm inference ...

SEO Consultant

Irvine, CA · On-site

$45 - $55/hr

The ideal candidate brings strong technical SEO expertise, experience with AI driven search and Generative Engine Optimization (GEO), and can quickly integrate into a fast paced marketing team. This ...

SEO Consultant

Irvine, CA · On-site

$45 - $55/hr

The ideal candidate brings strong technical SEO expertise, experience with AI driven search and Generative Engine Optimization (GEO), and can quickly integrate into a fast paced marketing team. This ...

The Opportunity Adobe is looking for a SEO Manager to drive organic discovery for Firefly, Adobe's outstanding generative AI product. This position is responsible for Firefly's comprehensive SEO ...

SEO Specialist

Redlands, CA · On-site

$22 - $27/hr

The SEO Strategist will leverage advanced SEO tools, AI-driven processes, and best practices to ensure measurable improvements in rankings, traffic, and conversions. *** This position is On-Site ONLY ...

The Opportunity Adobe is looking for a SEO Manager to drive organic discovery for Firefly, Adobe's outstanding generative AI product. This position is responsible for Firefly's comprehensive SEO ...

Apply semantic SEO, NLP-driven optimization, AI Discovery best practices, and performance insights to improve search visibility, answer engine optimization, and content discoverability across search ...

The Opportunity Adobe is looking for a SEO Manager to drive organic discovery for Firefly, Adobe's outstanding generative AI product. This position is responsible for Firefly's comprehensive SEO ...

Apply semantic SEO, NLP-driven optimization, AI Discovery best practices, and performance insights to improve search visibility, answer engine optimization, and content discoverability across search ...

Showing results 41-60

Ai Optimization information

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

What are popular job titles related to Ai Optimization jobs in California?

For Ai Optimization jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Optimization jobs in California look for?

The top searched job categories for Ai Optimization jobs in California are:

What cities in California are hiring for Ai Optimization jobs?

Cities in California with the most Ai Optimization job openings:

Infographic showing various Ai Optimization job openings in California as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Associate Director, Generative AI

Gilead Sciences, Inc.

Foster City, CA • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 16 days ago


Gilead Sciences rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

9th of 86 rated pharmaceutical


Job description

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact.
We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.
Job Description
At Gilead our pursuit of a healthier world for all people has yielded a cure for hepatitis C, revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers.
We set and achieve bold ambitions in our fight against the world's most devastating diseases, united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come.
As Associate Director, Generative AI, at Gilead you will report to the Senior Director, Data Science - AI & Optimization. Based in either Parsippany, NJ or Foster City, CA, you will be the business product owner owning the feature roadmap, will work on rapid prototyping including POCs and pilots, and partner with IT to build, scale and deploy AI and Gen AI solutions across commercial functions.
This role is pivotal in leveraging cutting-edge AI technologies to drive impact in commercial functions such as marketing, sales, and strategy across G9 countries while ensuring alignment with regulatory frameworks (e.g., EU AI Act) and ethical standards. You will implement the SOPs of responsible AI governance framework defined by enterprise teams, including IT. You will also foster cross-functional collaboration to maximize business value and mitigate risk in a rapidly evolving landscape.
The ideal candidate brings deep expertise in Gen AI product development, AI governance, and data science methodologies, preferably within the pharmaceutical commercial domain. You will coordinate across internal stakeholders (e.g., Enterprise Data Science Council, affiliates, functional teams) and external partners (e.g., academia, vendors) and will be responsible for articulating the business value of AI initiatives through compelling proposals and assessments as part of a cross-functional team.
This is an individual contributor role, supported by a team of offshore data scientists. Occasional travel to global Gilead locations may be required.
Key Responsibilities:
Gen AI strategy and solution development
  • As the business product owner, drive POCs and Pilot solutions in accordance with published enterprise frameworks and align to build, deploy and scale with IT.

  • Assist business owners with AI procurement (buy) initiatives alongside IT and lead technical feasibility discussions for commercial.

  • Partner with other functions (GCO and business owners when different) to support the governance of AI and Tech integration of futuristic AI solutions.

  • Pressure test explainability, sustainability, and roadmap for model evolution of external solutions.

  • Manage and work with IT on choice of platform and design for internally built solutions.

Cross-functional AI initiatives
  • Work with EDSC to plan and develop cross-functional use cases and act as point of contact for commercial on AI policy and governance workstreams.

  • Liaise with affiliates (US and ex-US) to understand the different AI requirements and help shape AI use cases, be the SME for AI use cases with all the affiliates and support by pressure testing build or buy from a data science standpoint, in partnership with IT.

  • Partner with GDI and US teams in supporting AI rollouts and manage the sustainability of AI products.

  • Bring in industry-wide best practices in DS and AI focusing on commercial use cases and work with EDSC on training and tools work streams.

  • Lead the content for AI literacy as a member of the EDSC working group and assist in bridging commercial-specific content.

Basic Qualifications:
Bachelor's Degree and Ten Years' Experience OR
Masters' Degree and Eight Years' Experience OR
PhD and Two Years' Experience
Preferred Qualifications:
  • Bachelor's degree with 10+ years, or Master's degree with 8+ years, or PhD with 6+ years of relevant data science / analytics / computer science / development experience.

  • Proven success in deploying Gen AI solutions in commercial settings.

  • Experience scaling AI products and platforms from pilot to production.

  • Excellent communication skills and ability to navigate the organization while simplifying the complexity in the AI space.

  • Excellent communication skills and ability to navigate the organization while simplifying the complexity in the AI space.

Technical Skills:
  • Expertise in developing Gen AI (e.g., LLMs, GANs) products for insights & content generation.

  • Proficiency with cloud platforms (e.g., AWS, Databricks).

  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

  • Knowledge of AI-related regulatory frameworks (e.g., HIPAA, GDPR, FDA, EU AI Act).

Non-technical skills:
  • Recognized as a credible data science expert and partner to commercial and cross-functional teams.

  • Skilled in enabling teams through tools, training, and mentorship.

  • Strong written and verbal communication skills.

  • Management experience influencing senior-level management and stakeholders.

  • Demonstrated ability to deliver complex programs with measurable impact.

  • Proven ability to scout, evaluate and pilot external AI solutions.

Competencies:
  • Structured Problem Solving - Demonstrates the ability to bring clarity to complex challenges by applying structured thinking, guiding teams through ambiguity, and mobilizing resources to deliver timely and effective solutions.

  • Collaborative Influence - Influences without direct authority by building trust, demonstrating subject matter expertise, and communicating with authenticity. Listens actively, adapts messaging to the audience, and uses data-driven persuasion to align stakeholders.

  • Results Orientation - Maintains a strong focus on outcomes, consistently driving toward ambitious goals-even in the face of adversity. Takes ownership, makes informed decisions, and ensures accountability to move initiatives forward.

  • Strategic - Anticipates evolving business needs and market dynamics. Translates vision into actionable plans, identifies growth opportunities, and adjusts priorities to align with long-term objectives.

  • Measurement-Driven - Champions a culture of evidence-based decision-making. Designs and executes strategies with measurable impact, leveraging KPIs and analytics to track performance and optimize results.

  • Enterprise Thinking - Advocates for decisions and actions that foster cross-functional collaboration and breaking down silos to drive unified outcomes. Encourages a big-picture perspective, long-term value creation, and a unified approach to business challenges, ensuring that decisions promote the overall health and success of the organization.

People Leader Accountabilities:
  • Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams.

  • Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees receive feedback and insight needed to grow, develop and realize their purpose.

  • Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem.

The salary range for this position is: $195,670.00 - $253,220.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.
For additional benefits information, visit:
https://www.gilead.com/careers/compensation-benefits-and-wellbeing
* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.
For jobs in the United States:
Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance.
For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.
NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT
YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT
Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law.
Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.
Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.
For Current Gilead Employees and Contractors:
Please apply via the Internal Career Opportunities portal in Workday.

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