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Remote Machine Learning Postdoc Jobs in Waltham, MA

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Showing results 21-40

Remote Machine Learning Postdoc information

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 key skills and qualifications needed to thrive as a remote machine learning postdoc?

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 job categories do people searching Remote Machine Learning Postdoc jobs in Waltham, MA look for?

The top searched job categories for Remote Machine Learning Postdoc jobs in Waltham, MA are:

What cities near Waltham, MA are hiring for Remote Machine Learning Postdoc jobs?

Cities near Waltham, MA with the most Remote Machine Learning Postdoc job openings:

Infographic showing various Remote Machine Learning Postdoc job openings in Waltham, MA as of August 2026, with employment types broken down into 5% Internship, 57% Full Time, 13% Part Time, and 25% Contract. Highlights an 100% Remote job distribution.

Machine Learning Scientist -- Large multimodal models

Iambic Therapeutics, Inc

Boston, MA • On-site, Remote

$210K/yr

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary

We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research, develop, and scale Enchant — our multimodal transformer model trained on a wide variety of biomedical data — pushing the boundaries of what large-scale foundation models can achieve in drug discovery.

This role spans architecture research through to production deployment. You will design and evaluate new model architectures, develop hybrid modeling approaches, optimize training and inference at scale, and work with colleagues across ML and drug discovery to put these models into the hands of scientists making real therapeutic decisions.

We are hiring flexibly across levels, from Associate Scientist through Research Scientist II, depending on experience.

Key Responsibilities

  • Research and implement architectural improvements to large-scale multimodal transformer models for biomedical applications

  • Investigate hybrid modeling approaches that combine learned representations with domain-informed structure or inductive biases

  • Optimize training pipelines for efficiency, stability, and scalability across many-GPU clusters

  • Develop and apply inference optimization techniques to support deployment in interactive discovery workflows

  • Design and maintain benchmarking and evaluation frameworks that track model quality across modalities and downstream tasks

  • Collaborate with ML and software engineering colleagues to deploy and operationalize models

  • Partner with computational chemists, medicinal chemists, and biologists to ensure model development is grounded in drug discovery needs

  • Communicate results to internal teams, external partners, and at conferences

  • Write high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity

Depending on level:

  • Mentor interns and junior team members through technical guidance, code reviews, and best practices in ML experimentation

  • Contribute to the strategic research roadmap for Enchant and related multimodal technologies

Qualifications

Required:

  • MS in ML/CS or a computational STEM field with relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth

  • Strong Python and PyTorch experience, including implementing and training deep learning models end-to-end

  • Demonstrated experience training transformer models at scale

  • Strong engineering habits: reproducible experimentation, clean code, testing, and performance-minded debugging

  • Comfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases)

Desired:

  • Experience with multimodal or multi-task model architectures

  • Training and inference optimization (e.g., mixed precision, kernel optimization, quantization, distributed strategies)

  • Familiarity with biomedical, chemical, or biological data domains

  • Distributed training at scale

  • HPC or large-scale training operations experience

Location

Remote (US or UK). On-site available in Bristol, UK and Boston, US.

ABOUT IAMBIC THERAPEUTICS

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

PAY AND BENEFITS

We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.