Senior Machine Learning Engineer

h2o.ai • Austin, TX • 2w ago

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.

H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.

About This Opportunity

We are seeking a Senior Data Scientist with exceptional research capabilities and proven expertise in developing end-to-end machine learning systems. This role requires a unique combination of deep technical expertise, research acumen, and leadership skills to drive innovation in AI/ML applications across complex, real-world datasets. The ideal candidate will have a strong publication record and experience mentoring teams while tackling abstract problems involving diverse data @types.

This position is based in Austin, Texas.

What You Will Do

Research & Development

Lead independent research initiatives in AI/ML applications, with potential for significant funding opportunities

Develop and implement cutting-edge machine learning models including generative AI, diffusion models, and large language models

Design and optimize end-to-end ML systems for production deployment with focus on performance and scalability

Conduct research on advanced topics such as likelihood-free inference, out-of-distribution generalization, and feature alignment

Publish findings in top-tier conferences and peer-reviewed journals to advance the field

Technical Leadership & Mentorship

Mentor and manage teams of data scientists, researchers, and graduate students

Provide technical guidance on complex ML problems and solution architecture

Lead cross-functional collaboration with engineering teams on ML system implementation

Serve as technical expert and thought leader in AI/ML best practices within the organization

Data Science & Analytics

Analyze complex, noisy, unlabeled datasets across multiple modalities (text, images, video,

time-series)

Develop innovative approaches for handling challenging data scenarios including missing labels and distribution shifts

Create efficient data processing pipelines using multiprocessing and optimization techniques

Build automated systems for data analysis, model training, and performance monitoring

Product Development & Innovation

Translate research breakthroughs into practical applications and products

Develop user-facing AI applications including chatbots, recommendation systems, and automated analysis tools

Collaborate with product teams to integrate ML capabilities into existing systems and workflows

Lead proof-of-concept development for new AI/ML initiatives

What We Are Looking For

Education & Experience

Master's degree in Computer Science, Physics, Mathematics, Statistics, or related quantitative field

8+ years of experience in data science, machine learning, or AI research

Proven track record of leading and mentoring technical teams (20+ individuals)

Experience managing complex research projects from conception to completion

Technical Skills

Core Programming & ML

Expert-level proficiency in Python with strong knowledge of Bash, SQL, C/C+

Deep experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn

Extensive experience with data manipulation libraries: NumPy, Pandas, Matplotlib

Hands-on experience with Hugging Face ecosystem and modern NLP/LLM tools

Advanced ML Techniques

Proven expertise in generative AI including diffusion models, GANs, VAEs, and normalizing flows

Experience with large language models (LLMs) and agentic AI systems

Knowledge of advanced architectures: CNNs, U-Nets, transformers, and attention mechanisms

Expertise in dimensionality reduction, density estimation, and denoising techniques

Experience with likelihood-free inference and Bayesian methods

Research & Publication

Strong publication record with 30+ peer-reviewed articles in prestigious venues

Experience publishing in top-tier ML conferences (NeurIPS, ICLR, ICML)

Ability to communicate complex technical concepts through written and oral presentations

Experience with reproducible research practices and open-source development

Leadership & Communication Skills

Demonstrated ability to mentor and develop junior researchers and data scientists

Experience organizing and facilitating technical workshops and training programs

Strong project management skills with experience in Agile/Scrum methodologies

Excellent presentation skills for both technical and non-technical audiences

Proven ability to secure research funding and manage grant-funded projects

Problem-Solving & Innovation

Track record of solving complex, abstract problems with innovative approaches

Experience working with real-world, noisy datasets across multiple domains

Ability to achieve significant performance improvements (orders of magnitude speedups)

Strong analytical thinking and experimental design capabilities

How to Stand Out From the Crowd

Industry Experience

PhD in Physics, Computer Science, Mathematics, Statistics, or related quantitative field

Deep background in computational sciences (astrophysics, physics, computational biology)

Experience in technology companies with large-scale data processing requirements

Knowledge of space sciences, satellite data processing, or scientific computing

Background in financial services, healthcare, or other data-intensive industries

Experience with cloud platforms and distributed computing systems

Additional Experience

Experience with automated content generation and summarization systems

Background in signal processing and statistical analysisKnowledge of scientific data analysis and visualization

Experience with web development and deployment of ML applications

Familiarity with research collaboration platforms and tools

Technical Specialization

Experience with multimodal AI systems and cross-modal learning

Knowledge of advanced optimization techniques and performance tuning

Background in time-series analysis and forecasting

Experience with computer vision and image processing applications

Understanding of MLOps and model deployment best practices

Success Metrics

Quality and impact of research publications in peer-reviewed venues

Successful mentorship outcomes and team development

Achievement of significant performance improvements in ML systems

Successful grant applications and research funding acquisition

Technical innovation and patent applications

Contribution to product development and business value creation

Research Environment

Access to cutting-edge computing resources and datasets

Opportunity to collaborate with leading researchers in the field

Support for conference attendance and professional development

Flexible research directions aligned with business objectives

Potential for sabbatical opportunities and academic collaborations

Why H2O.ai?

Market leader in total rewards

Remote-friendly culture

Flexible working environment

Be part of a world-class team

Career growth

Salary range: $110,000 - 160,000

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.

H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.

H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose.

Please visit www.H2O.ai to learn more.

Powered by JazzHR

h2o.ai

Go to Apply

Share this job

Similar Jobs

2025 Code for Good Hackathon - Software Engineer Program - Summer Internship - United States

JPMorgan Chase • Austin, TX • 45min ago

IT & Engineering

Join Code for Good, a social impact hackathon hosted by JPMorgan Chase's Tech for Social Good team, where your coding skills can make a difference for nonprofit organizations. Discover if a career in financial services t...

45min ago

Go to Apply

TJJD - Network Specialist III - IT Infrastructure amp; Security Network Specialist - (AUS) - 51508

TEXAS JUVENILE JUSTICE DEPARTMENT • Austin, TX • 47min ago

IT & Engineering

Please paste the following URL into a browser to view the entire job posting in the CAPPS Career Section: https://capps.taleo.net/careersection/ex/jobdetail.ftl?job=00051508 You may apply to the job directly through the...

47min ago

Go to Apply

Embedded Electronics Engineering Scientist Associate

UNIVERSITY OF TEXAS AT AUSTIN • Austin, TX • 2h ago

IT & Engineering

Design embedded electronics hardware containing microcontrollers, A/D converters, power supplies, etc.; including schematics, board layout, fabrication, and troubleshooting. This hardware will support sonar, radio, and n...

2h ago

Go to Apply

Software Engineer - Ford LLM

Ford Motor Company • Austin, TX • 4h ago

IT & Engineering

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to c...

4h ago

Go to Apply

Ramp;D Software Engineering Scientist

UNIVERSITY OF TEXAS AT AUSTIN • Austin, TX • 4h ago

IT & Engineering

Designing software applications and algorithms to support remote sensing, geospatial data analysis, and data science applications.Conducting software testing, code reviews, CI/CD, and verification to support development...

4h ago

Go to Apply

Ramp;D Software Engineering Scientist Associate

UNIVERSITY OF TEXAS AT AUSTIN • Austin, TX • 4h ago

IT & Engineering

4h ago

Go to Apply

Supply Chain Equipment Tech

HCA Healthcare • Austin, TX • 1d ago

IT & Engineering

Description Introduction Are you passionate about the patient experience? At HCA Healthcare, we are committed to caring for patients with purpose and integrity. We care like family! Jump-start your career as a(an) Supply...

1d ago

Go to Apply

S061 Intern Support Technician - Digital Print Center

TEXAS DEPARTMENT OF TRANSPORTATION • Austin, TX • 1d ago

IT & Engineering

Performs entry-level administrative support work. Work involves performing a wide range of administrative and office support work for the department. Employees at this level perform assignments following specific instruc...

1d ago

Go to Apply

Product Design Engineer - Power

Apple • Austin, TX • 1d ago

IT & Engineering

Product Design Engineer - Power Austin, Texas, United States Hardware Summary Posted: Aug 02, 2025 Weekly Hours: 40 Role Number: 200614909 Looking for a highly motivated mechanical engineer to join the Power and Accessor...

1d ago

Go to Apply

Cyber Security Analyst

CACI International • Austin, TX • 1d ago

IT & Engineering

Cyber Security Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:...

1d ago

Go to Apply

Subscribe to get new jobs sent directly to you
(no charge, cancel anytime)

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.