ML Infrastructure Engineer - (Early Career/Internship)

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Requisition ID: JOBREQ-2615965

ML Infrastructure Engineer - (Early Career/Internship)

Remote, Washington, USA, Full-time

• Unity Careers
• Positions
• Description

ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside.nn

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• The opportunity
• What you'll be doing
• What we're looking for
• Additional information
• Benefits
• Life at Unity
• Apply

The opportunity

Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.n

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems.

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Wexe2x80x99re looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems.

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Youxe2x80x99ll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training. Working closely with experienced engineers and researchers, youxe2x80x99ll contribute to systems that ensure our ML pipelines are reliable, scalable, and efficient.

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This role offers the opportunity to bridge research and productionxe2x80x94translating advanced ideas into systems that operate at scale.

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What you''ll be doing

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• Build and maintain data pipelines that generate training datasets for machine learning models and experimentation n
• Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray) n
• Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines n
• Improve reproducibility and reliability through dataset validation, monitoring, and testing n
• Partner with ML engineers to support experimentation and model iteration n
• Help optimize performance and efficiency across data processing and training systems n
• Contribute to the evolution of our offline ML platform architecture as it scales n

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What we''re looking for

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• Bachelorxe2x80x99s degree in Computer Science, Machine Learning, Systems, or a related field n
• Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects) n
• Experience with Python and working with data-intensive workloads n
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark) n
• Experience (academic or applied) with data pipelines, model training workflows, or large datasets n
• Strong problem-solving skills and ability to translate research ideas into practical systems n
• Interest in building scalable, reliable infrastructure for machine learning n
• Nice to Have n
• Experience with workflow orchestration systems (Airflow, Flyte, etc.) n
• Exposure to large-scale data platforms (data lakes, warehouses, streaming systems) n
• Publications or research in ML systems, distributed systems, or related areas n

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Additional information

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• Relocation support is not available for this position n
• Work visa/immigration sponsorship is not available for this position n

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Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.n

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

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While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

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Life at Unity

Unity [NYSE: U] is the worldxe2x80x99s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D xe2x80x94 closing the gap between ideas and reality. For more information, please visit www.unity.com.n

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

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Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

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Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

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#SEN

• Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidatexe2x80x99s relevant experience, professional background, and skill set.nxc2xa0Gross pay salary $112,700xe2x80x94$169,000 USD

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Location: Remote, Washington, USADepartment: TemplatesType: Full-timeRequisition ID: JOBREQ-2615965

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