webAIWE

Staff Machine Learning Engineer

webAI is a technology company specializing in privacy-focused, distributed artificial intelligence solutions, enabling organizations to deploy AI models locally on their devices. Founded in 2019, webAI aims to democratize AI access while prioritizing data privacy and performance.

webAI

Employee count: 51-200

United States only

About Us:

webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.

About the Role:

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models.

Responsibilities:

  • Lead the development and optimization of Large Language Models and Mixture of Experts models.
  • Collaborate with cross-functional teams to integrate ML models into our platform.
  • Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs.
  • Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies.
  • Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.

Qualifications:

  • Advanced degree (Ph.D. preferred) in Computer Science, or a related field.
  • Proven track record of innovations through publications or industry experience.
  • Minimum of 5 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts.
  • Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch.
  • Demonstrated ability to lead complex projects and work collaboratively in a team environment.
  • Excellent problem-solving skills and a passion for innovation.

Preferred Skills:

  • Experience with cloud computing services (AWS, Azure, GCP).
  • Knowledge of Big Data technologies (Hadoop, Spark).
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  • Publications or presentations in recognized Machine Learning journals or conferences.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision benefits package.
  • $200/mos Health and Wellness Stipend
  • $400/year Continuing Education Credit
  • Flexible work week
  • Free parking, for in-office employees
  • Unlimited Approved PTO
  • Parental, Bereavement Leave
  • Supplemental Life Insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

About the job

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About webAI

Learn more about webAI and their company culture.

View company profile

webAI is a technology company at the forefront of the artificial intelligence revolution, specializing in privacy-focused, distributed AI solutions. Founded in 2019 by David Stout, Tyler Mauer, and Ethan Baird, the company is headquartered in Austin, Texas, with an additional office in Grand Rapids, Michigan. webAI's core mission is to democratize access to powerful, specialized AI models by enabling organizations to deploy them locally on their own devices and infrastructure, thereby minimizing reliance on traditional cloud-based services. This approach prioritizes data privacy, reduces latency, and optimizes performance, offering a secure and cost-effective alternative to centralized AI.

The company's innovative platform is designed to streamline the training, deployment, and execution of AI models, offering a unified execution layer that seamlessly integrates cloud-based services and local devices. webAI's technology allows enterprises to run powerful AI on existing hardware, ensuring that sensitive data remains within their control and addressing critical concerns around security and data sovereignty. Key products include Navigator, a local AI workspace for building, training, and deploying custom models; Infrastructure, a distributed network that scales AI globally on user-owned hardware; and Companion, an on-device AI assistant that securely integrates into everyday tasks. webAI serves a diverse range of industries, including retail, logistics, aviation, education, financial services, government, healthcare, and manufacturing, helping businesses enhance operational efficiency, optimize workflows, and improve decision-making. The company has garnered significant investment, with a total of $60 million raised, and is focused on driving innovation in the distributed AI field to create a future powered by Super Intelligence.

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