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Adidas Modeling Jobs in California (NOW HIRING)

WSS

Seasonal Retail Team Member - 18

Los Angeles, CA

... Converse, Adidas, Puma, Skechers, etc. In addition, WSS carries high quality private brands ... The success of this business model has allowed WSS to continue its rapid expansion into new markets.

WSS

Seasonal Retail Team Member - 7

Oxnard, CA · On-site

... Converse, Adidas, Puma, Skechers, etc. In addition, WSS carries high quality private brands ... The success of this business model has allowed WSS to continue its rapid expansion into new markets.

WSS

Seasonal Retail Team Member - 41

Rialto, CA

... Converse, Adidas, Puma, Skechers, etc. In addition, WSS carries high quality private brands ... The success of this business model has allowed WSS to continue its rapid expansion into new markets.

WSS

Seasonal Retail Team Member - 48

Fontana, CA

... Converse, Adidas, Puma, Skechers, etc. In addition, WSS carries high quality private brands ... The success of this business model has allowed WSS to continue its rapid expansion into new markets.

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All JobsAdidas Modeling JobsAdidas Modeling Jobs in California

Adidas Modeling information

What are the key skills and qualifications needed to thrive in the adidas modeling position?

To thrive in Adidas Modeling, you need strong physical presence, fitness, and the ability to confidently showcase apparel and footwear in diverse settings. Experience with professional photo shoots, runway events, and familiarity with brand-specific guidelines or portfolios is often required. Adaptability, reliability, and clear communication are valuable soft skills for building rapport with creative teams and responding well to direction. These skills ensure models represent Adidas authentically and work efficiently in fast-paced, collaborative environments.

What is an adidas modeling job?

An Adidas Modeling job involves representing the Adidas brand in marketing campaigns, advertisements, and product launches. Models may be featured in photoshoots, commercials, or live events showcasing Adidas apparel, footwear, and accessories. This role typically requires a strong personal image, confidence in front of the camera, and the ability to embody the brand’s sporty and stylish aesthetic. Prior experience in modeling can be helpful, but Adidas also looks for authentic individuals who align with their brand identity.

What does a typical day look like for an adidas model?

A typical day for an Adidas model may involve attending photoshoots, participating in campaign or catalog shoots, and sometimes working at live events such as product launches or runway shows. You'll collaborate closely with photographers, stylists, and brand representatives to embody the Adidas style and energy through poses, movement, and expressions. Models are expected to maintain a professional attitude, follow creative direction, and often adapt quickly to schedule changes or new projects. The work environment is dynamic and team-oriented, providing opportunities to build experience and expand your portfolio with an internationally recognized brand.

What are the most commonly searched types of Adidas Modeling jobs in California? The most popular types of Adidas Modeling jobs in California are:
What are popular job titles related to Adidas Modeling jobs in California? For Adidas Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Adidas Modeling jobs in California look for? The top searched job categories for Adidas Modeling jobs in California are:
What cities in California are hiring for Adidas Modeling jobs? Cities in California with the most Adidas Modeling job openings:
Adidas Modeling jobs near you
Infographic showing various Adidas Modeling job openings in California as of August 2026, with employment types broken down into 81% Full Time, 10% Temporary, and 9% Contract. Highlights an 55% In-person, and 45% Remote job distribution.

Staff Backend Software Engineer- (AI Platform)

Databricks

San Francisco, CA • On-site

$192K - $260K/yr

Full-time

Re-posted 14 days ago

Job description

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Databricks' Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models - from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.
As a Staff Engineer, you'll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.
The impact you will have:
  • Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.
  • Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.
  • Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.
  • Contribute directly to key components across the serving infrastructure - from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling - ensuring smooth and efficient operations at scale.
  • Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.
  • Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.
  • Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.
  • Represent the team in cross-organizational technical discussions and influence Databricks' broader AI platform strategy.

What we look for:
  • 10+ years of experience building and operating large-scale distributed systems.
  • Deep expertise in model serving, inference systems, and related infrastructure (e.g., routing, scheduling, autoscaling, and observability).
  • Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.
  • Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.
  • Experience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems.
  • Strong communication skills and ability to collaborate across teams in fast-moving environments.
  • Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.
  • Passion for mentoring, growing engineers, and fostering technical excellence.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$192,000-$260,000 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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