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Remote Machine Learning Postdoc Jobs in California

Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

We adapted to remote working with ease and are continually looking at ways to improve. We're proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense ...

Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

We adapted to remote working with ease and are continually looking at ways to improve. We're proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense ...

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Remote Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Postdoc, and why are they important?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.
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 Remote Machine Learning Postdoc jobs in California? For Remote Machine Learning Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in California look for? The top searched job categories for Remote Machine Learning Postdoc jobs in California are:
What cities in California are hiring for Remote Machine Learning Postdoc jobs? Cities in California with the most Remote Machine Learning Postdoc job openings:
Infographic showing various Remote Machine Learning Postdoc job openings in California as of May 2026, with employment types broken down into 46% Full Time, and 54% Contract. Highlights an 100% Remote job distribution.

Principal Machine Learning Engineer

NxT Level

San Francisco, CA • On-site, Remote

Other

Posted 19 days ago


Job description

Position Overview:
Our client is seeking a Principal Software Engineer focused on backend development to help us build the infrastructure behind their AI-powered game generation tools. This role will involve the design and development of backend systems, focusing on performance, scalability, and state-of-the-art machine learning integration. You will collaborate with their founders and AI experts to develop and deploy AI-driven features that elevate online multiplayer experiences.

Key Responsibilities:

  • Lead the design, development, and optimization of scalable backend services for machine learning-based video game engines.
  • Create and maintain backend APIs and server-side components to support AI-powered game generation tools.
  • Collaborate with AI teams to integrate advanced machine learning models into game development pipelines.
  • Develop and optimize data pipelines for high-volume, real-time data streaming and machine learning applications.
  • Ensure applications meet high-performance standards and are optimized for reliability in live game environments.
  • Actively participate in the prototyping and iteration of new AI features in a fast-paced, product-driven environment.
  • Lead initiatives to create bespoke training datasets for AI models, ensuring they are effective in real-time gameplay scenarios.

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or related field. An advanced degree focused on AI/ML is a plus.
  • 5+ years of experience developing backend systems, with expertise in Python, Golang, or Node.js.
  • Deep experience with machine learning, model training, and inference workflows, with a focus on real-time, high-performance applications.
  • Experience working with cloud providers (preferably AWS) and DevOps tools such as Kubernetes for managing scalable infrastructures.
  • Proven experience integrating AI models, such as GPT or Stable Diffusion, into production environments.
  • Strong problem-solving skills and attention to detail, with a track record of delivering production-ready systems.
  • Experience with large-scale data processing frameworks and tools such as Langchain, Pinecone, or Gantry.
  • A passion for video games and deep enthusiasm for innovative game development technologies.

Why Join Us:

  • Be part of a groundbreaking team working on the future of AI-powered game creation.
  • Collaborate with industry veterans and top-tier AI experts.
  • Flexible work environment with options for remote work.
  • Competitive salary and benefits, with Riot-level compensation.