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Temporary Machine Learning Postdoc Jobs in California

Meta

Fundamental AI Researcher - FAIR

Menlo Park, CA · On-site

$154K - $217K/yr

... PostDoctoral experience in relevant research areas, such as: machine learning, optimization, computer vision, natural language processing • First-authored publications at peer-reviewed conferences ...

Meta

Fundamental AI Researcher - FAIR

Menlo Park, CA

$154K/yr

Experience holding an industry, postdoctoral, faculty, or government researcher position * Research background in machine learning, artificial intelligence, computational statistics, applied ...

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Temporary Machine Learning Postdoc information

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

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

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

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

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 Temporary Machine Learning Postdoc jobs in California? For Temporary Machine Learning Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in California look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in California are:
What cities in California are hiring for Temporary Machine Learning Postdoc jobs? Cities in California with the most Temporary Machine Learning Postdoc job openings:
Temporary Machine Learning Postdoc jobs near you
Fundamental AI Researcher - FAIR

Fundamental AI Researcher - FAIR

Meta

Menlo Park, CA • On-site

$154K - $217K/yr

Full-time

Posted 7 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

118th of 183 rated software companies

Job description

Meta is seeking a researcher to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. In this role, you'll work with world-class researchers at FAIR on fundamental and exploratory research. The FAIR RAM (Reasoning, Alignment, Memory) team focuses on research in developing learning algorithms with enhanced reasoning, memory and alignment methods. Our current projects span improved learning objectives, self-supervised learning objectives, higher-level reasoning, and new memory techniques. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence.
Responsibilities
Perform research to advance the science and technology of intelligent machines, particularly on topics around reasoning, alignment and memory
• Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
• Work towards long-term research goals, while identifying immediate milestones
• Influence progress of relevant research communities by producing publications
• Open source high quality code and produce reproducible research
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• A PhD in AI, computer science, data science, or related technical fields
• 2+ years of industry or equivalent PostDoctoral experience in relevant research areas, such as: machine learning, optimization, computer vision, natural language processing
• First-authored publications at peer-reviewed conferences, such as ACL, EMNLP, NeurIPS, ICML, ICLR and other similar venues
• Experience holding an industry, postdoctoral, faculty, or government researcher position
• Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
• Research publications reflecting experience in theoretical or empirical research
• Experience in developing and debugging in Python or similar programming languages
• Experience in analyzing and collecting data from various sources
Preferred Qualifications
• Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, and / or coding competitions
• Experience in developing optimization algorithms and theory, distributed training of large-scale machine learning models, and comparing alternative solutions, trade-offs, and different perspectives
• Experience collaborating in a team environment on research projects
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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