Machine Learning Engineer, Search
2024-10-29
USA
Dropbox
Role Description
As a Machine Leaning Engineer, you will be involved in shaping the future direction of the organization and pushing the boundaries on what the world thinks is possible by leveraging the latest advancements in AI/ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the product org to create and build delightful new experiences.
Collaborating closely with cross-functional teams, you'll leverage your ML expertise to tackle audacious challenges. Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate.
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
Design, build, evaluate, deploy and iterate on large scale Machine Learning systems
Understand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experience
Work with Product, Design, Infrastructure and Frontend teams to bring your models, and features to life
Work with large scale data systems, and infrastructure
Evaluate the performance of machine learning systems against business objectives, and productionize those models
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 other quantitative fields or related work experience
5+ years of experience in engineering with 3+ years of experience building Machine Learning or AI systems
Strong industry experience working with large scale data
Strong analytical and problem-solving skills
Familiarity with search-related applications of Large Language Models
Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++
Experience with Machine Learning software tools and libraries (e.g., PyTorch, HuggingFace, TensorFlow, Keras, Scikit-learn, etc.)
Preferred Qualifications
PhD in Computer Science or related field with research in machine learning
Experience with one or more of the following: natural language processing, deep learning, bayesian reasoning, recommender systems, learning to rank, speech processing, learning from semistructured data, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation, machine learning on edge devices
Compensation
US Zone 1$204,000—$276,000 USDUS Zone 2$183,500—$248,400 USDUS Zone 3$163,000—$220,800 USD
As a Machine Leaning Engineer, you will be involved in shaping the future direction of the organization and pushing the boundaries on what the world thinks is possible by leveraging the latest advancements in AI/ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the product org to create and build delightful new experiences.
Collaborating closely with cross-functional teams, you'll leverage your ML expertise to tackle audacious challenges. Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate.
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
Design, build, evaluate, deploy and iterate on large scale Machine Learning systems
Understand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experience
Work with Product, Design, Infrastructure and Frontend teams to bring your models, and features to life
Work with large scale data systems, and infrastructure
Evaluate the performance of machine learning systems against business objectives, and productionize those models
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 other quantitative fields or related work experience
5+ years of experience in engineering with 3+ years of experience building Machine Learning or AI systems
Strong industry experience working with large scale data
Strong analytical and problem-solving skills
Familiarity with search-related applications of Large Language Models
Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++
Experience with Machine Learning software tools and libraries (e.g., PyTorch, HuggingFace, TensorFlow, Keras, Scikit-learn, etc.)
Preferred Qualifications
PhD in Computer Science or related field with research in machine learning
Experience with one or more of the following: natural language processing, deep learning, bayesian reasoning, recommender systems, learning to rank, speech processing, learning from semistructured data, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation, machine learning on edge devices
Compensation
US Zone 1$204,000—$276,000 USDUS Zone 2$183,500—$248,400 USDUS Zone 3$163,000—$220,800 USD