Python Remote- & Homeoffice Jobs in redwood-city ∙ Seite 1

WHAT IS BOX? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including AstraZeneca, JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

Artificial Intelligence is transforming how organizations work with content. Box AI brings powerful large language models to the Box Content Cloud so customers can uncover insights, extract metadata, automate workflows, get answers to critical questions, and create content securely. The Model Foundations team sits at the core of this vision by defining how we rigorously evaluate LLMs and Box AI Agents for enterprise-grade quality, reliability, and trust.

We’re looking for an Engineering Manager to lead Model Foundations. You’ll build the methodology, datasets, and processes that measure model performance across real-world enterprise scenarios, partner closely with leading model providers, and collaborate with Box executives and platform teams to turn evaluation into product improvement. Your work will directly shape how Box AI advances for thousands of customers around the world.

WHAT YOU'LL DO 

• Lead and mentor a team of ML engineers to design, build, and operationalize an evaluation framework for Box AI Agents and foundational LLMs.
• Define representative enterprise datasets and metrics; develop grading approaches that assess accuracy, safety, grounding, and usability.
• Pioneer and evangelize LLM evaluation methodology tailored to enterprise content management use cases.
• Collaborate with AI Platform teams to translate evaluation results into roadmap decisions and measurable agent improvements.
• Partner with model providers (e.g., OpenAI, Google, Anthropic) to share findings and influence model capabilities for enterprise needs.
• Track AI research and industry trends to continuously evolve our evaluation strategy and tooling.
• Work with senior leadership (CEO, CTO) to set priorities and a clear one-year roadmap for Model Foundations.
• Manage and coordinate the team’s on-call rotation to ensure timely and effective incident response, actively participate in escalated on-call incidents to provide leadership and support, and drive improvements by addressing recurring issues to minimize disruptions.

WHO YOU ARE 

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• 7+ years in machine learning or applied AI, including 2+ years managing engineers with a track record of coaching, hiring, and performance development.
• Practical experience evaluating and/or deploying ML systems at scale; you’ve designed metrics, datasets, or pipelines that informed product decisions.
• Strong analytical problem solver who works confidently with large, complex datasets and ambiguous problem spaces.
• Proficient in at least one programming language (e.g., Python, C++, Java, or R) and familiar with modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, pandas).
• Excellent communicator who collaborates effectively across product, research, and platform teams and with external partners.
• Bachelor’s degree in Computer Science or a related field (or equivalent practical experience).
• Preferred: Experience with LLMs and RAG; depth in IR/NLP/query understanding; familiarity with Vertex AI, AWS Bedrock/SageMaker; exposure to Kubernetes-based systems.
• Preferred: Proven roadmap planning where short-term wins ladder into a long-term vision.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.