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Remote Machine Learning Researcher Jobs (NOW HIRING)

SmarterDx

Senior Machine Learning Research Scientist

$220K/yr

Role As a Machine Learning Research Scientist, you will lead groundbreaking ML research and ... Remote-First Team - Work from anywhere in the U.S. * Unlimited PTO & 10 Holidays - So you can relax ...

Terra AI

Senior/Staff Machine Learning Researcher

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... Work alongside leading AI research labs on genuinely frontier AI projects * Fully remote and ...

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type : Hourly Contract Compensation : $50-$70 /hour ...

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How much do remote machine learning researcher jobs pay per year?

As of Jun 4, 2026, the average yearly pay for remote machine learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.

What are Remote Machine Learning Researchers?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.
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Senior Machine Learning Research Scientist

Senior Machine Learning Research Scientist

SmarterDx

Remote

$220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
Role
As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team.
What You'll Do
  • 45% Hands-on implementing new methods and relevant baseline models (ML Research)
  • 20% Working cross-functionally to deploy models into production (MLOps, MLE)
  • 20% Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise)
  • 15% Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting)
  • Become a domain expert at clinical data and the healthcare ecosystem
  • Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps)
  • Post training to align large language models (LLMs) on proprietary clinical data
  • Develop new self-supervised pre-training tasks for improving models
  • Develop novel retrieval, attribution and hallucination detection strategies for generative models
  • Develop novel methods for explaining and summarizing diagnostic classifications
  • Develop methods for selecting data sources to include in training (data-centric AI)
  • Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels
  • Develop novel methods for multimodal data fusion (structured and unstructured data)
  • Long-sequence language modeling
What You Bring
  • Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps)
  • With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving
  • Deep "under-the-hood" understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed
  • Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc
  • Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, arXiv)

Nice To Haves
  • MLSys skills ie knows the differences between tensor vs pipeline vs data parallelism, gloo vs mpi vs nccl, CUDA vs ROCm, Triton vs ThunderKittens
  • Familiarity with inference optimizations, ie vLLM, SGLang, continuous batching, KV Caching, speculative decoding

Our Tech Stack
  • PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes
Compensation
$200-220k+ base salary
#LI-Remote
#LI-DNP
Benefits
  • Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
  • Paid Parental Leave - Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
  • Remote-First Team - Work from anywhere in the U.S.
  • Unlimited PTO & 10 Holidays - So you can relax and recharge.
  • 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Fidelity with a 4% match.
  • Minimal Bureaucracy - A fast-moving, high-impact environment where you can focus on what matters.
  • Incredible Teammates! - Work alongside smart, supportive, and mission-driven colleagues.

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