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Temporary Machine Learning Postdoc Jobs in Taunton, MA

Cleerly

Sr. ML Scientist

Boston, MA · On-site

... postdoctoral research or industry experience. * Hands-on experience with developing and fine-tuning large foundation models. * Hands-on experience with developing multimodal machine learning ...

NorthEastern

Postdoctoral Research Fellow

Boston, MA · On-site +1

The Postdoctoral Researcher will be based out of either the Boston, MA or Portland, ME campus and ... PhD in computer science, machine learning, AI or related computational field, or, * Ph.D. in a ...

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Temporary Machine Learning Postdoc information

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 skills and qualifications are needed to thrive as a temporary machine learning postdoc?

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?

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 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 Taunton, MA?

The most popular types of Machine Learning Postdoc jobs in Taunton, MA are:

Temporary Machine Learning Postdoc jobs near you
Infographic showing various Temporary Machine Learning Postdoc job openings in Taunton, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Quantum Innovation Postdoctoral Fellow - Quantum Applications

QuEra Computing, Inc.

Boston, MA • On-site

$110K - $120K/yr

Full-time

Re-posted 21 days ago

Job description

Summary
QuEra Computing, Inc. is seeking a talented and driven Postdoctoral Fellow with a background in quantum physics, quantum error correction or quantum machine learning to contribute to our neutral atom quantum computing research and innovation efforts. This role is a fixed-term assignment. The ideal candidate will help develop new quantum computing applications, design and evaluate quantum algorithms that inform both near-term applications and long-term architectures. This is a unique opportunity to shape the design direction of one of the most promising quantum computing platforms, while working in close collaboration with QuEra scientists, engineers, and product teams in an industry setting.
Key Responsibilities
  • Design algorithms and quantum protocols suited to neutral atom platforms and collaborate with software and hardware teams on implementation.
  • Propose and evaluate scalable quantum architectures, error correction schemes, and control strategies.
  • Explore innovative applications of neutral atom systems in quantum simulation, optimization, machine learning and computation.
  • Collaborate with experimental teams to guide system design, interpret results, and validate models.
  • Contribute to technical publications, white papers, and patent filings.
  • Participate in internal knowledge-sharing sessions and external scientific outreach (e.g., conferences, workshops).

Required Qualifications
  • Ph.D. in Physics, Quantum Information, Theoretical AMO Physics, or a closely related field.
  • Strong background in quantum information science, quantum simulation, and quantum application development
  • Experience developing and analyzing quantum algorithms or protocols.
  • Proficiency with numerical tools (e.g., Python, Julia, QuTiP, or custom simulation code).
  • Track record of peer-reviewed publications in top-tier journals.

Preferred Qualifications
  • Familiarity with neutral atom platforms, including Rydberg physics, optical lattices, or tweezer arrays.
  • Demonstrated expertise in theoretical modeling of atomic systems or quantum platforms.
  • Experience with Hamiltonian simulation, variational quantum algorithms (VQAs), and quantum error correction.
  • Experience in working across theory and application, including engagement with experimentalists and engineers.
  • Interest in translating fundamental research into commercial quantum technologies.

The approximate base salary range for this position is $110,000-$120,000.
We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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