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Flamingo Jobs in California (NOW HIRING)

Flamingo Shopping Center, 2763 4th street, Santa Rosa Ca. 95405 and River Plaza, 80 E Washington St., Petaluma, Ca. 94952. The Area Drop Spot Attendant is responsible for maintenance of each location ...

The Flamingo Resort & Spa is a mid-century marvel in The Valley of the Moon. The buildings, rendered with natural materials and iconic angular silhouettes, are the work of master architect Homer A.

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

... Flamingo) * Proficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD). * Deep understanding of 3D geometry, camera models, and ...

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

... Flamingo) • Proficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD). • Deep understanding of 3D geometry, camera models, and ...

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Flamingo information

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$5

$17

$28

How much do flamingo jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for flamingo in California is $17.26, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $21.66 per hour, depending on experience, location, and employer.

What is a flamingo?

A Flamingo job typically refers to a role involving vibrant, dynamic tasks, often related to entertainment, hospitality, or themed services. It can include performing, event hosting, or customer engagement in lively environments. Specific duties vary based on the industry and employer.

What is the difference between Flamingo vs Floral Designer?

AspectFlamingoFloral Designer
Required CredentialsNone specific, some may have certifications in art or designFlorist certification or floral design courses often preferred
Work EnvironmentEvent venues, outdoor settings, or themed displaysFlorist shops, event setups, or retail stores
Industry UsageUsed mainly in decorative or themed event contextsPrimarily in floral arrangement and retail floral sales

Flamingo and floral designer roles share creative elements, but Flamingo typically refers to decorative or themed displays often in outdoor or event settings, while floral designers focus on floral arrangements in retail or event environments. Both require creativity, but certifications are more common for floral designers. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Flamingo jobs in California?

The most popular types of Flamingo jobs in California are:

What are popular job titles related to Flamingo jobs in California?

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

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

The top searched job categories for Flamingo jobs in California are:

What cities in California are hiring for Flamingo jobs?

Cities in California with the most Flamingo job openings:

Infographic showing various Flamingo job openings in California as of August 2026, with employment types broken down into 1% Internship, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $35,902 per year, or $17.3 per hour.

Staff Machine Learning Engineer - Foundation Model

XPENG

Santa Clara, CA • On-site

Full-time

Re-posted 7 days ago


Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
We are looking for a full-time Machine Learning Engineer / Research Scientist to drive the modeling and algorithmic development of XPENG's next-generation Vision-Language-Action (VLA) Foundation Model - the core brain that powers our end-to-end autonomous driving systems.
You will work closely with world-class researchers, perception and planning engineers, and infrastructure experts to design, train, and deploy large-scale multi-modal models that unify vision, language, and control. Your work will directly shape the intelligence that enables XPENG's future L3/L4 autonomous driving products.
Key Responsibilities
  • Design and implement large-scale multi-modal architectures (e.g., vision-language-action transformers) for end-to-end autonomous driving.
  • Develop pretraining and fine-tuning strategies leveraging massive labeled and unlabeled fleet data (images, video, LiDAR, CAN bus, maps, human driving behaviors, etc.).
  • Research and integrate cross-modal alignment (e.g., visual grounding, temporal reasoning, policy distillation, imitation and reinforcement learning) to improve model interpretability and action quality.
  • Collaborate with infrastructure engineers to scale training across thousands of GPUs using distributed training frameworks (FSDP, DDP, etc.).
  • Conduct systematic ablation, evaluation, and visualization of model behavior across perception, reasoning, and planning tasks.
  • Contribute to model deployment optimization, including quantization, export, and latency-accuracy trade-offs for onboard execution.
Minimum Qualifications
  • Master's degree or higher in Computer Science, Electrical/Computer Engineering, or related field, with 3+ years of experience in deep learning research or productization.
  • Strong proficiency in PyTorch and modern transformer-based model design.
  • Experience in large-scale pretraining or multi-modal modeling (vision, language, or planning).
  • Deep understanding of representation learning, temporal modeling, and self-supervised or reinforcement learning techniques.
  • Familiarity with distributed training (DDP, FSDP) and large-batch optimization.
Preferred Qualifications
  • PhD in CS/CE/EE or related field, with 1+ years of relevant industry experience.
  • Publication record in top-tier AI conferences (CVPR, ICCV, NeurIPS, ICLR, ICML, ECCV).
  • Prior experience building foundation or end-to-end driving models, or LLM/VLM architectures (e.g., ViT, Flamingo, BEVFormer, RT-2, or GRPO-style policies).
  • Familiarity with RLHF/DPO/GRPOtrajectory prediction, or policy learning for control tasks.
  • Proven ability to collaborate cross-functionally with infra, perception, and planning teams to deliver production-ready models.
What do we provide:
  • A collaborative, research-driven environment with access to massive real-world data and industry-scale compute.
  • An opportunity to work with top-tier researchers and engineers advancing the frontier of foundation models for autonomous driving.
  • Direct impact on the next generation of intelligent mobility systems.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
The base salary range for this full-time position is $215,280-$364,320, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.