Box

About Box

Secure content management for modern enterprises

🏢 Tech👥 1001+ employees📅 Founded 2005📍 Centennial, Redwood City, CA4.4
B2BData storageSecurityEnterpriseContentSaaSCloud Computing

Key Highlights

  • Over 100,000 enterprise customers including IBM & Microsoft
  • Headquartered in Redwood City, CA with 1,000+ employees
  • 100% paid maternity leave for 20 weeks, 12 weeks for paternity
  • Flexible hybrid work model with generous PTO policies

Box, headquartered in Redwood City, CA, is a leading cloud content management platform that enables secure collaboration and data sharing for enterprises. Trusted by over 100,000 businesses, including IBM and Microsoft, Box is at the forefront of the shift to cloud computing, recently partnering wit...

🎁 Benefits

Box offers a flexible hybrid work model, sign-on RSUs, and an employee stock purchase plan for discounted stock. Employees enjoy generous parental lea...

🌟 Culture

Box fosters a culture focused on innovation and collaboration, leveraging partnerships with major tech companies to enhance its offerings. The company...

Box

Machine Learning Engineer Senior

BoxRedwood City - On-Site

Posted 2d ago🏛️ On-SiteSeniorMachine Learning Engineer📍 Redwood City💰 $175,500 - $219,500 / yearly
Apply Now →

Overview

Box is hiring a Senior Machine Learning Engineer to enhance their Shield security layer using AI and machine learning techniques. You'll work with Python, TensorFlow, and AWS to develop solutions that protect enterprise content. This role requires significant experience in machine learning and software development.

Job Description

Who you are

You have 5+ years of experience in machine learning and software engineering, with a strong foundation in developing and deploying machine learning models. Your expertise in Python is complemented by hands-on experience with frameworks like TensorFlow and PyTorch, allowing you to build robust AI solutions that address complex business challenges. You understand the intricacies of data management and can effectively preprocess and analyze large datasets to extract meaningful insights. Your experience with cloud platforms, particularly AWS, enables you to leverage scalable infrastructure for deploying machine learning applications. You are a collaborative team player who enjoys working closely with cross-functional teams to drive innovation and improve product offerings. You are passionate about security and understand the importance of protecting sensitive information in enterprise environments. We encourage you to apply even if your experience doesn't match every requirement.

What you'll do

As a Senior Machine Learning Engineer at Box, you will play a pivotal role in enhancing the Shield security layer, which protects enterprise content from data loss and malicious behavior. You will design and implement machine learning algorithms that classify and analyze data to identify potential risks and threats. Collaborating with product managers and security experts, you will define the requirements for new features and enhancements, ensuring that the solutions you develop align with business objectives. You will be responsible for building and maintaining data pipelines that support the training and evaluation of machine learning models, ensuring high data quality and availability. Your role will also involve conducting experiments to validate model performance and iterating on solutions based on feedback and results. You will contribute to the overall architecture of the machine learning systems, ensuring they are scalable and efficient. Additionally, you will mentor junior engineers, sharing your knowledge and best practices to foster a culture of learning and growth within the team.

What we offer

At Box, we offer a competitive salary range of $175,500—$219,500 USD, along with equity and comprehensive benefits. You will have the opportunity to work in a dynamic environment that values innovation and collaboration. Our culture encourages professional development and provides resources for continuous learning. You will be part of a mission-driven organization that is transforming how businesses manage content and workflows in the AI-first era. Join us in making a significant impact on the future of content management and security.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Box.

Similar Jobs You Might Like

Based on your interests and this role

Celonis

Machine Learning Engineer

Celonis📍 Redwood City - Remote

Celonis is hiring a Machine Learning Engineer to design and develop AI/ML product features and solutions. You'll work with technologies like Python and TensorFlow to empower enterprises in making intelligent business decisions. This role requires experience in machine learning and software engineering.

🏠 RemoteMid-Level
1w ago
PathAI

Machine Learning Engineer

PathAI📍 Boston - On-Site

PathAI is hiring a Machine Learning Engineer II/III to design, develop, and deploy machine learning models that improve patient outcomes. You'll work with Python, TensorFlow, and PyTorch in a collaborative environment. This position requires experience in machine learning and MLOps.

🏛️ On-SiteMid-Level
4 months ago
Celonis

Machine Learning Engineer

Celonis📍 Redwood City - On-Site

Celonis is hiring a Senior Machine Learning Engineer to design and develop AI/ML product features and solutions. You'll work with technologies like Python and contribute to the Execution Management System. This role requires expertise in machine learning and data analysis.

🏛️ On-SiteSenior
1w ago
Faculty

Machine Learning Engineer

Faculty📍 United Kingdom - Hybrid

Faculty is seeking a Machine Learning Engineer to develop and deploy human-centered AI solutions for clients in the defence sector. You'll work with technologies like Python and TensorFlow to create impactful AI applications. This role requires eligibility for UK Security Clearance and offers a hybrid working model.

🏢 HybridMid-Level
2 months ago
Prodigal

Data Scientist

Prodigal📍 Bengaluru

Prodigal is hiring a Data Scientist to build recommendation systems that enhance consumer engagement and improve debt collection performance metrics. You'll leverage your skills in Python and machine learning to analyze data patterns and develop effective models.

2 months ago