About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Internet / Technology.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

• Contribute to the Machine Learning Platform: build and maintain components for training, deployment, and monitoring of ML models.
• Design and implement scalable, reliable backend services and tooling that support ML workflows and data pipelines.
• Collaborate with data scientists, ML engineers, and cross-functional teams to productionize models and operationalize experiments.
• Improve system performance, reliability, and cost-efficiency for model training and serving.
• Participate in design reviews, write clean and well-tested code, and help shape platform architecture and best practices.

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Who You Are / Minimum Qualifications

• New graduate (BS/MS) in Computer Science, Engineering, or a related technical field — or equivalent practical experience.
• Strong programming skills and experience building software (internships, projects, or coursework).
• Solid foundation in data structures, algorithms, and software engineering principles.
• Familiarity with machine learning concepts or demonstrated strong interest in ML systems.
• Excellent collaboration, communication, and problem-solving skills.

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Preferred Qualifications

• Experience writing production-quality code in Python, Java, or C++ (internships or coursework counts).
• Exposure to distributed systems, data pipelines, or cloud-based services.
• Interest or experience with ML frameworks (e.g., TensorFlow, PyTorch), model serving, and feature pipelines.
• Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) and cloud platforms (AWS/GCP/Azure) is a plus.
• Demonstrated ability to learn quickly and work on ambiguous technical problems.

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What You’ll Get

• Work remotely on high-impact ML infrastructure used by data scientists and ML engineers.
• Mentorship from experienced engineers and opportunities to grow technical skills in ML systems.
• A collaborative environment that values engineering rigor, experimentation, and continuous improvement.
• Access to additional opportunities and career support through the Careertakes platform.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.