Senior ML Research Scientist (Speech)

The Rundown AI, Inc.; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Join a leading healthcare AI company as a Research Scientist on the Machine Learning team. You will develop cutting-edge speech modeling technologies to improve patient care while working at the intersection of technology and healthcare. This role offers unique opportunities to tackle complex challenges and make a significant impact in clinical workflows.

Benefits

Comprehensive Medical, Dental, Vision & Life insurance

HSA (with employer match), FSA, & DCFSA

401(k)

11 Paid Company Holidays

Location Flexibility

Flexible PTO policy

Annual company-wide offsite

Periodic team offsites

Annual equipment stipend

Qualifications

• 2+ years of post-degree experience in ML Speech technologies.
• Strong experience with transformer-based models.
• Experience deploying speech models in production.

Responsibilities

• Develop advanced speech processing pipelines for medical dictation.
• Research offline speech processing capabilities for clinical environments.
• Drive applied research in speech and audio ML.

Skills

Automated Speech Recognition

Speech-to-Text

Text-to-Speech

Machine Learning

Python

Deep Learning

Transformer-based models

Education

MS or PhD in Computer Science

Electrical Engineering

Machine Learning

Tools

PyTorch

ESPnet

HuggingFace Transformers

Job description

About Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us?

We’re on a mission to build cutting-edge AI systems that empower radiologists and improve patient care. As a Research Scientist on our Machine Learning team, you’ll work at the intersection of speech modeling, machine learning, and healthcare, interfacing with our partners to design and deploy state-of-the-art ASR and speech-based models that solve real-world healthcare challenges. This is a high-impact role where your work will directly influence clinical workflows and improve physician efficiency at scale.

What You’ll Do:

• Develop advanced speech processing pipelines and quality assurance systems for medical dictation workflows.

• Research offline speech processing capabilities and edge computing solutions for clinical environments

• Tackle complex challenges unique to healthcare and radiology, such as converting dictated speech into structured data, enabling real-time clinical decision support, or building voice interfaces.

• Work closely with vendor relationships to enhance integration and performance metrics

• Drive Applied Research: Stay current with cutting-edge research in speech and audio ML, design experiments, and prototype ideas that can be translated into production.
  

What We’re Looking For:

• MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience
  2+ years of post-degree experience building models in ML Speech technologies such as Automated Speech Recognition/Speech-to-Text (ASR/STT), or Text-to-Speech (TTS)

• Strong experience working with transformer-based speech models such as Whisper.

• Proficiency with Python and deep learning frameworks like PyTorch

• Familiarity with open-source libraries such as ESPnet, HuggingFace Transformers, torchaudio, or Kaldi

• Experience deploying speech or audio models in production settings

• Experience working with and curating large audio datasets.

Bonus Points For:

• PhD, or research background in speech ML, signal processing, or voice-based interfaces

• Experience working in healthcare, regulated environments, or HIPAA-compliant systems

• Publications in top-tier ML or speech-specific conferences (e.g., INTERSPEECH, ICASSP, NeurIPS)
  Experience working in early-stage startups or fast-paced R&D teams
  Familiarity with cloud platforms (AWS, GCP) and modern ML ops toolchains

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance

• HSA (with employer match), FSA, & DCFSA

• 401(k)

• 11 Paid Company Holidays

• Location Flexibility (Remote-first company!)

• Flexible PTO policy

• Annual company-wide offsite

• Periodic team offsites

• Annual equipment stipend

• For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or [e-mail].