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Remote Biomedical Machine Learning Jobs in Austin, TX

David Joseph & Company

AI Engineer

Austin, TX · On-site +1

$140K - $200K/yr

Remote (United States) Compensation: $140,000 - $200,000 base Visa Sponsorship: None available ... About the Role As an AI Engineer, you will design, train, and deploy machine learning models and ...

Wsgr

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

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AI Engineer (Remote)

Austin, TX · On-site +1

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

micro1 AI

Engineering AI Evaluator (PhD)

Austin, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Austin, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

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All JobsBiomedical Machine Learning JobsRemote Biomedical Machine Learning JobsRemote Biomedical Machine Learning Jobs in Austin, TX

Remote Biomedical Machine Learning information

See Austin, TX salary details

$15

$28

$38

How much do remote biomedical machine learning jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote biomedical machine learning in Austin, TX is $28.27, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $31.92 per hour, depending on experience, location, and employer.

What are some unique challenges faced when working remotely as a Biomedical Machine Learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

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

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What are remote biomedical machine learning jobs?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Austin, TX? For Remote Biomedical Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Machine Learning jobs in Austin, TX look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Biomedical Machine Learning jobs? Cities near Austin, TX with the most Remote Biomedical Machine Learning job openings:
Remote Biomedical Machine Learning jobs near you

AI Engineer

David Joseph & Company

Austin, TX • On-site, Remote

$140K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted 8 days ago

Job description

AI Engineer

Location: Remote (United States)
Compensation: $140,000 – $200,000 base
Visa Sponsorship: None available — US Citizen or Green Card holder required
Experience Level: 5+ years
Employment Type: Full-Time

About the Company

The company is an enterprise AI company based in Austin, Texas, founded in 2021. The company offers a hybrid AI platform that integrates autonomous AI agents with human expertise, allowing businesses to build, deploy, and scale custom AI solutions significantly faster and at lower cost than traditional methods. The no-code platform supports full-lifecycle AI including data integration, predictive analytics, and workflow automation. Series A with $39.5M raised, serving manufacturing, retail, and financial services customers globally.

About the Role

As an AI Engineer, you will design, train, and deploy machine learning models and LLM-powered systems that power an automated machine learning platform for enterprise users. You will bridge the gap between complex data science and intuitive user experiences — owning everything from RAG pipeline architecture to production deployment and API development.

What You'll Own
  • Design, train, and optimize ML models and LLMs to solve complex predictive and generative tasks within the RapidCanvas platform
  • Architect and implement robust RAG workflows — vector database management, embedding optimization, and advanced prompt engineering
  • Deploy scalable AI services using containerization and orchestration tools, ensuring high availability and low-latency inference
  • Build and maintain automated data ingestion and preprocessing pipelines to transform raw enterprise data into high-quality training sets and feature stores
  • Establish rigorous evaluation frameworks to measure model accuracy, drift, and computational efficiency
  • Develop secure, high-performance APIs to expose AI capabilities to the frontend
Requirements
  • 5+ years of professional experience moving ML models into production environments
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative field
  • Proven experience implementing LLMs and RAG architectures using LangChain, LlamaIndex, OpenAI APIs, or similar
  • Advanced Python proficiency including FastAPI or Flask for model serving
  • Hands-on experience with vector databases — Pinecone, Milvus, Weaviate, or equivalent
  • MLOps experience — Docker, Kubernetes, MLflow, Airflow, or similar for full ML lifecycle management
  • Cloud platform experience — AWS, GCP, or Azure
  • Experience with SQL/NoSQL databases and large-scale data processing
  • US Citizen or Green Card holder — no visa sponsorship available
Nice to Have
  • Experience with Auto-ML or No-Code/Low-Code data science platforms
  • Proficiency with gradient-boosted trees (XGBoost, LightGBM), time-series forecasting, and deep learning frameworks
  • Experience with automated feature engineering and hyperparameter tuning (Optuna, Ray Tune)
  • Familiarity with Spark or Dask for large-scale data processing
  • Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field
Benefits
  • Health, dental, and vision insurance
  • Outcome-oriented flexibility — focus on impact over hours logged
Interview Process
  1. First-round team interview — technical and collaborative session
  2. Technical assessment — practical skills evaluation or take-home assignment
  3. Deep-dive interview — architecture, methodologies, and project experience
  4. Cultural alignment and leadership interview with key stakeholders
Logistics
  • Role is fully remote within the United States
  • US Citizen or Green Card holder required — no visa sponsorship or relocation assistance available

Shortlisted candidates will be contacted by David Joseph & Co.