Principal ML Engineer

Job Summary

Where better to define the intersection of open source and AI than at Red Hat, the open source leader? Here's an opportunity you don't see too often: apply your machine learning skills to help democratize AI using open source.

Red Hat's Global Engineering Team is looking for a Machine Learning Engineer to join the newly-formed InstructLab team. In this role, you will serve a critical role as a bridge between Red Hat and our peer IBM Research team. You'll collaborate with other engineering teams within Red Hat and IBM Research scientists to develop AI the open source way. This will involve participating in the development of novel techniques and research extensions alongside IBM Research, as well as engaging in the upstream open source InstructLab community project. You will develop working relationships across multiple teams, planning and prioritizing sprint work across a small team, along with direct contribution to development projects at a senior level of ability.

The ideal candidate will be a highly collaborative individual with a passion for working on complex projects in an open organization where contributions are valued and expected from all levels. As this is a fast-moving area of opportunity for Red Hat, the ability to communicate productively and effectively with team members, stakeholders, and Red Hat leadership is critical.

This position reports directly to the Manager of Software Engineering for InstructLab. This position must have the ability to partner collaboratively in the local office at least 3 days per week. 

Primary Job Responsibilities (what you’ll do)

• Run experiments, tests, and large-scale distributed jobs in support of AI product features.

• Lead a variety of coding projects in different programming languages with a focus on addressing machine learning and data science challenges.

• Participate in and lead upstream data science and machine learning project communities.

• Evaluate new machine learning and data science technologies.

• Evangelize, communicate, and promote machine learning and data science technologies and ongoing machine learning projects with a variety of technical and non-technical stakeholders.

• Transition software components from research into product.

Required Skills (what you’ll bring)

• Bachelor's degree in computer science or equivalent.

• Machine learning, AI, or deep learning-related course work or independent project work with evidence of completion.

• Experience in understanding and implementing concepts outlined through research papers. Experience with writing and publication of research papers is a plus.

• Advanced programming skills in Python and SQL.

• Demonstrates knowledge of machine learning relevant mathematics and statistics.

• Strong self-motivation and organizational skills.

• Demonstrates ability to context switch between multiple concurrent projects.

• Excellent written and verbal communication skills.

• Positive attitude and willingness to share ideas openly.

Bonus qualifications

• Masters or PhD in Machine Learning (ML) / Natural Language Processing (NLP).

• Experience with Red Hat Enterprise Linux (RHEL), Rest APIs, Kubernetes, and containers.

• 8+ years of direct experience developing and using Data Visualization tools and Jupyter notebooks.

• Demonstrates knowledge of unit testing frameworks and methodologies.

• Familiarity with participating in an agile development team.

#LI-JC1

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. 

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
●    Comprehensive medical, dental, and vision coverage
●    Flexible Spending Account - healthcare and dependent care
●    Health Savings Account - high deductible medical plan
●    Retirement 401(k) with employer match
●    Paid time off and holidays
●    Paid parental leave plans for all new parents
●    Leave benefits including disability, paid family medical leave, and paid military leave
●    Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! 

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. 

Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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