Role Description

As a Senior Machine Learning Engineer, you will play a key role in advancing Dropbox’s mission to create a more enlightened way of working. Leveraging cutting-edge AI/ML technologies, you will design, build, deploy, and refine highly reliable AI agents operating at massive scale. Your work will power Dropbox Dash’s universal agentic search and autonomous organization features, transforming how millions of users collaborate, stay organized, and focus on the work that truly matters

Responsibilities

• Design and productionize agentic AI frameworks — including multi-agent coordination, planning, tool-use, and memory — that allow agents to maintain long-term context and execute complex tasks across the Dropbox ecosystem.
• Lead the end-to-end design of ML systems, from fine-tuning (SFT, RLAIF) and advanced prompting to inference optimization and production monitoring.
• Establish rigorous safety, alignment, and evaluation frameworks to ensure our autonomous systems are helpful, honest, and harmless.
• Collaborate across Product, Design, Infra, and Frontend teams to translate ambiguous user needs into concrete AI capabilities that move the needle for the business.
• Mentor junior engineers and serve as a core contributor to the broader Dropbox AI strategy, fostering a culture of technical excellence.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

Preferred Qualifications

• PhD with a focus on Deep Learning, NLP, or Reinforcement Learning (RLHF/RLAIF).
• Proven track record of taking AI products from concept to launch, either at a massive scale (millions of users) or by leading multiple 0 → 1 cycles in a fast-paced environment.
• Hands-on experience with autonomous agent frameworks, multi-step planning, tool-use (function calling), and advanced RAG.
• Experience with inference optimization, model distillation, or fine-tuning techniques to improve performance and cost-efficiency.

Compensation

Role Description

Responsibilities

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

Preferred Qualifications

• PhD with a focus on Deep Learning, NLP, or Reinforcement Learning (RLHF/RLAIF).
• Proven track record of taking AI products from concept to launch, either at a massive scale (millions of users) or by leading multiple 0 → 1 cycles in a fast-paced environment.
• Hands-on experience with autonomous agent frameworks, multi-step planning, tool-use (function calling), and advanced RAG.
• Experience with inference optimization, model distillation, or fine-tuning techniques to improve performance and cost-efficiency.

Compensation

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

Compensation

Role Description

The Dash Experiences organization at Dropbox is responsible for shaping core user experiences across web, mobile, desktop, and emerging AI-powered surfaces. We’re looking for a Full Stack Software Engineer to join the Dash Experiences team and help build new, AI-first product experiences.

In this role, you will work on application design, development, and maintenance of AI-powered software applications within the Dropbox Dash product ecosystem. You’ll collaborate closely with cross-functional partners including product managers, data scientists, and ML engineers to build robust, scalable solutions that power user-facing experiences.

This is a 0→1 product environment, where you’ll contribute across the stack—from building frontend experiences in React to developing APIs and connecting backend systems. You’ll have the opportunity to learn, grow, and make meaningful product impact while working alongside experienced engineers in a highly collaborative setting.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and stakeholders to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Work closely with ML engineers to integrate AI components seamlessly into the overall software product architecture.
• Develop responsive and performant frontend applications using modern web technologies such as HTML, CSS, Typescript, and frameworks like React.
• Implement interactive user interfaces that effectively communicate complex AI functionalities and data insights to end-users.
• Work closely with UX/UI designers to ensure seamless integration of design elements, branding, and usability principles into the frontend development process.
• Collaborate with backend engineers to integrate frontend components with server-side logic and APIs, ensuring optimal performance and data flow.
• Optimize frontend performance to deliver fast and efficient user experiences, considering factors such as page load times, rendering speed, and responsiveness.
• Stay up to date with the latest trends and advancements in frontend development, UI/UX design, and AI technologies, bringing innovative ideas and best practices to the team.
• Participate in code reviews, knowledge sharing sessions, and provide mentorship to junior team members, fostering a collaborative and growth-oriented culture.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including internships, co-ops, or equivalent project work.
• Experience building web applications using TypeScript and React.
• Ability to make data-driven decisions, using tools like Databricks.
• Familiarity with backend development concepts such as APIs and server-side logic.
• Ability to work across the stack and connect frontend applications to backend systems.
• Strong problem-solving skills and eagerness to learn.
• Clear communication skills and ability to collaborate with cross-functional partners.

Preferred Qualifications

• Experience with Python, Golang, or other backend languages.
• Familiarity with large-scale web platforms, microservice architecture and architecture patterns for large-scale code bases.
• Interest in AI-powered or data-driven product experiences.
• Comfortable working in early-stage or ambiguous product environments.
• Proactive mindset with curiosity about improving products and processes.

Role Description

At Dropbox, we believe the future is built on great ideas. And great ideas don’t just come from the top; they come from everywhere.  Our mission is to design an enlightened way of working. 

Our Engineering team is working to simplify the way people work together. They’re building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countless opportunities to make an impact. This is just the beginning of how Dropbox will use AI/ML to enhance knowledge work in today’s work environment. We’re excited to bring a new generation of personalized AI-powered experiences in Dropbox to improve our customers' working lives and a more focused, efficient, and productive workday.

You will play a crucial role in designing, developing, and maintaining AI-powered software applications. You will work closely with cross-engineering teams, product managers, data scientists, and ML engineers, to build robust and scalable solutions to drive user engagement and business growth. You will have the opportunity to grow a product at the beginning of it’s S-curve and to define the next generation of AI products at Dropbox.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and other engineering teams to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Define and deliver the multi-team growth strategy with measurable outcomes through ownership of product capabilities and technical systems
• Lead the design and delivery of software solutions across specific product areas or multi-component systems
• Establish engineering best practices, improve system reliability, and drive down technical debt
• Collaborate with cross-functional teams to balance technical requirements with business goals
• Lead by example through high quality code, thoughtful reviews, and hands on mentorship, fostering a collaborative and growth-oriented culture.
• Mentor senior engineers; model high-signal design reviews and effective cross-team influence.
• Conduct experiments and A/B tests to validate hypotheses and guide product decisions.  
• Participate in and uplevel on-call rotations to maintain service reliability

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 12+ years of relevant experience 
• BS/BA degree or higher in Computer Science or related technical field, or equivalent technical experience
• Strong problem-solving skills and the ability to translate user requirements into practical solutions.
• Ability to work across the stack on projects and able to build a minimum working product quickly
• Experience working on large scale user facing applications
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders.

Preferred Qualifications

• Prior experience on a product growth team
• Excited about building 0→1. Comfortable with ambiguity and pivoting directions
• Experience at building user-facing applications on web and/or desktop using front-end technologies such as JavaScript, TypeScript, React, HTML5, CSS3
• Strong proficiency in backend development technologies such as Golang and Python.
• Experience building large distributed systems at scale. 

Compensation

Role Description

At Dropbox, we believe the future is built on great ideas. And great ideas don’t just come from the top; they come from everywhere.  Our mission is to design an enlightened way of working. 

Our Engineering team is working to simplify the way people work together. They’re building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countless opportunities to make an impact. This is just the beginning of how Dropbox will use AI/ML to enhance knowledge work in today’s work environment. We’re excited to bring a new generation of personalized AI-powered experiences in Dropbox to improve our customers' working lives and a more focused, efficient, and productive workday.

You will play a crucial role in designing, developing, and maintaining AI-powered software applications. You will work closely with cross-engineering teams, product managers, data scientists, and ML engineers, to build robust and scalable solutions to drive user engagement and business growth. You will have the opportunity to grow a product at the beginning of it’s S-curve and to define the next generation of AI products at Dropbox.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Collaborate with product managers and other engineering teams to understand business requirements and translate them into technical specifications for AI-powered software applications.
• Define and deliver the multi-team growth strategy with measurable outcomes through ownership of product capabilities and technical systems
• Lead the design and delivery of software solutions across specific product areas or multi-component systems
• Establish engineering best practices, improve system reliability, and drive down technical debt
• Collaborate with cross-functional teams to balance technical requirements with business goals
• Lead by example through high quality code, thoughtful reviews, and hands on mentorship, fostering a collaborative and growth-oriented culture.
• Mentor senior engineers; model high-signal design reviews and effective cross-team influence.
• Conduct experiments and A/B tests to validate hypotheses and guide product decisions.  
• Participate in and uplevel on-call rotations to maintain service reliability

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 12+ years of relevant experience 
• BS/BA degree or higher in Computer Science or related technical field, or equivalent technical experience
• Strong problem-solving skills and the ability to translate user requirements into practical solutions.
• Ability to work across the stack on projects and able to build a minimum working product quickly
• Experience working on large scale user facing applications
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders.

Preferred Qualifications

• Prior experience on a product growth team
• Excited about building 0→1. Comfortable with ambiguity and pivoting directions
• Experience at building user-facing applications on web and/or desktop using front-end technologies such as JavaScript, TypeScript, React, HTML5, CSS3
• Strong proficiency in backend development technologies such as Golang and Python.
• Experience building large distributed systems at scale. 

Compensation