Machine Learning Engineer III
Redwood City, CA, United States
Box
The intelligent Content Cloud makes it easy to automate workflows, collaborate internally and externally, and protect your sensitive data, all on one platform.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.
Founded in 2005, Box is headquartered in Redwood City, CA, and we have offices across the United States, Europe, and Asia.
- rough data-driven solutions
- Ownership mindset with focus on delivering high-quality work both technically & collaboratively
- Experience building, deploying and supporting scalable ML systems
Must Have Experience
- Proficiency in python and Jupyter Notebooks
- Familiarity with at least one object oriented language like C, C++, Java, Scala
- Bachelors degree in Computer Science, Machine Learning ,Mathematics, Statistics, or a related
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
- Strong understanding of statistical modeling, data structures, and algorithms
- 3+ years of industry experience in machine learning or related field
Nice To Have Experience
- Masters Degree or PhD. in Machine Learning, Mathematics, Statistics, or a related field, with a focus on machine learning
- Familiarity with natural language processing, query understanding, and large language models
- Familiarity with deep learning techniques and frameworks
- Familiarity with Large Language Models, RAG, Agentic Frameworks like LangChain
- Publications or contributions to the machine learning community
LEARN MORE ABOUT BOX AI
You are in an office based role with the expectation of working from the Redwood City, CA office a minimum of 2x/week
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.
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information on benefits, check out our healthcare benefits and additional Box Benefits + Perks. In accordance with OFCCP compliance, here is the Pay Transparency Provision. United States Pay Range$170,500—$213,000 USD
Tags: Computer Science Deep Learning Java Jupyter LangChain LLMs Machine Learning Mathematics NLP NumPy Pandas PhD Privacy Python PyTorch RAG Scala Scikit-learn Statistical modeling Statistics TensorFlow
Perks/benefits: Career development Equity / stock options Transparency
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