ZipRecruiter

Log In

1

Online Machine Learning Postdoc Jobs in California

Stripe

Machine Learning Engineer

South San Francisco, CA · On-site

$212K - $318K/yr

Develop pipelines and automated processes to train and evaluate models in offline and online ... Designing, training and evaluating machine learning models; * Productionizing and deploying machine ...

Stripe

Machine Learning Engineer

South San Francisco, CA · On-site +1

$212K - $318K/yr

Develop pipelines and automated processes to train and evaluate models in offline and online ... Designing, training and evaluating machine learning models; * Productionizing and deploying machine ...

previous page

Showing results 41-60

All JobsOnline Machine Learning Postdoc JobsOnline Machine Learning Postdoc Jobs in California

Online Machine Learning Postdoc information

What is the difference between Online Machine Learning Postdoc vs Data Scientist?

AspectOnline Machine Learning PostdocData Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often a PhD is preferred but not required
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, tech firms, startups, corporate analytics teams
Employer & Industry UsagePrimarily academic, research-focused roles in universities or research institutionsCommercial sector, product development, data analysis, and business intelligence

The Online Machine Learning Postdoc typically focuses on academic research, exploring new algorithms and theories in machine learning, often in a university setting. In contrast, a Data Scientist applies machine learning techniques to solve real-world business problems in industry. While both roles require strong technical skills, the Postdoc emphasizes research and publication, whereas Data Scientists focus on data analysis and product development.

What are the most commonly searched types of Machine Learning Postdoc jobs in California?

The most popular types of Machine Learning Postdoc jobs in California are:

What are popular job titles related to Online Machine Learning Postdoc jobs in California?

For Online Machine Learning Postdoc jobs in California, the most frequently searched job titles are:

What job categories do people searching Online Machine Learning Postdoc jobs in California look for?

The top searched job categories for Online Machine Learning Postdoc jobs in California are:

What cities in California are hiring for Online Machine Learning Postdoc jobs?

Cities in California with the most Online Machine Learning Postdoc job openings:

Online Machine Learning Postdoc jobs near you

Machine Learning Engineer, Images

Cantina Labs

San Francisco, CA • On-site

$200 - $265/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Key responsibilities

  • Develop, implement, fine-tune, and debug image AI models that power lifelike AI bots.

  • Monitor and fix production issues impacting image generation and analysis pipelines.

  • Design and run experiments to benchmark model performance and track quality metrics.

Job description

About Cantina

Cantina Labs is a social AI company, developing a suite of advanced real‑time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.

If you’re excited about the potential AI has to shape human creativity and social interactions, join us in building the future!

About the Role

As a Senior Machine Learning Engineer on the AI Image Generation (Imagine) team, you’ll design, implement, fine‑tune, improve and debug the image AI models that power our lifelike AI bots. The Imagine Team at Cantina is responsible for all generative image and machine vision services. Your expertise in machine learning and scalable ML infrastructure will be crucial in developing innovative features that revolutionize how people connect and create online.

AI bots on Cantina are multimodal and can text and talk with you as well as send you selfies. To provide these capabilities, we continually develop and deploy new image generation pipelines that create photorealistic, consistent characters.

The Imagine team is constantly striving to improve the quality, character consistency, responsiveness to prompting, inference time, and incorporation of an ever‑increasing number of custom looks and appearance traits.

What You’ll Do
  • Evaluate new image generation and identity preservation papers and models.
  • Develop and deploy new versions of the image generation and image analysis pipelines.
  • Monitor and fix production issues that impact users.
  • Fine‑tune and optimize models to improve character consistency, prompt responsiveness, and inference latency.
  • Design and run experiments to benchmark model performance, tracking quality metrics across generations of pipeline improvements.
  • Collaborate with cross‑functional teams to translate product requirements into ML solutions and bring new generative features from prototype to production.
What You’ll Bring
  • Demonstrated interest in AI image generation. This includes both personal and professional projects.
  • Deep technical foundation in machine learning specifically in image synthesis.
  • 5+ years experience as a software engineer, preferably in services.
  • 2+ years of experience building production‑grade machine learning models in industry and/or academic research settings.
  • Strong programming skills in Python and deploying Python based services.
  • Familiarity with tools and frameworks involved in AI image generation including but not limited to Stable Diffusion, Diffusion Transformers (DiT), Visual Transformers (ViT), Tensorflow, PyTorch, Diffusers, ComfyUI, TensorRT, and CUDA.
  • Experience building end‑to‑end scalable ML infrastructure with on‑premise or cloud platforms including Baseten, Google Cloud Platform (GCP), Amazon Web Services (AWS) or Azure.
  • Strong teamwork skills including communication and collaboration with both technical and non‑technical team members.
Compensation

The anticipated annual base salary range for this role is between $200,000-$265,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.

Benefits We Offer
  • Competitive salary and generous company equity
  • Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
  • 42 days of paid time off, including:
    • 15 PTO days
    • 10 sick days
    • 15 company holidays
    • 2 floating holidays
  • Generous parental leave & fertility support
  • 401(k) retirement savings plan
  • Lifestyle spending account – $500/month to use however you’d like
  • Complimentary lunch and snacks for in‑office employees
  • One Medical membership, and more!
#J-18808-Ljbffr

Apply