Machine Learning Engineer

Key Skills

Aartificial intelligence, Analytical and Problem solving, C Programming, C++, Caffe, Deep Learning, Design, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Scikit-learn, TensorFlow, Theano

Job Description

Dropbox’s Machine Learning group develops high impact solutions that touch millions of people and a lot of data. From images to documents in every language, the Dropbox ML team delivers solutions using the full range of Machine Learning techniques from computer vision to supervised learning to deep learning to online learning. While some of our algorithms run on mobile devices, others require large clusters on our infrastructure.

Dropbox is looking for Machine Learning Engineers with an academic or practical background in machine learning, ideally with experience in natural language understanding, information retrieval, knowledge extraction, or deep learning.

Responsibilities

• You will work within the Machine Learning Team to design, code, train, test, deploy and iterate on large scale machine learning systems
• You will build delightful products and experiences for millions, while working alongside an excellent, multi-functional team across Engineering, Product and Design
• You will help craft the direction of machine learning and artificial intelligence at Dropbox

Requirements

• BS or MS in Computer Science or related technical field involving Machine Learning, or equivalent technical experience
• 3+ years of experience building machine learning or AI systems
• Strong analytical and problem-solving skills
• Proven software engineering skills across multiple languages including but not limited to Python, C/C++
• Experience with machine learning software packages (e.g., scikit-learn, TensorFlow, Caffe, Theano, Torch)

Desired 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, recommendation systems, learning for search, speech processing, learning from semistructured data, reinforcement or active learning, ML software systems, machine learning on mobile devices

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.

Total Rewards

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.

At Dropbox, we strive to be a great place for all Dropboxers to grow and be recognized for that growth. This job posting reflects broad requirements, and represents two potential levels of role. Through our assessment process, we will identify your level that ties to compensation based on your experience and technical expertise along with the scope of the role. 

For candidates hired in San Francisco metro, New York City metro, or Seattle metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $154,700 - $182,000 - $209,300 if you are assessed at the IC2 level. If you are instead assessed at the IC3 level, the expected salary/On-Target Earnings (OTE) range for the role is currently $187,000 - $220,000 - $253,000. 

For candidates hired in the following locations: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro) and Washington DC metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $139,200 - $163,800 - $188,400 if you are assessed at the IC2 level. If you are instead assessed at the IC3 level, the expected salary/On-Target Earnings (OTE) range for the role is currently $168,300 - $198,000 - $227,700. 

For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $123,800 - $145,600 - $167,400 if you are assessed at the IC2 level. If you are instead assessed at the IC3 level, the expected salary/On-Target Earnings (OTE) range for the role is currently $149,600 - $176,000 - $202,400. 

Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use.