Senior Machine Learning Engineer, Dash - Ranking and Recommendations

Company Description reputed company is a special reputed company where we are reputed company seeking to fulfill our mission to design a more enlightened way of working. We’re looking for innovative talent to join us on our journey. The words shared by our founders at the start of reputed company still ring true today. Wouldn’t it be great if our working environment—and the tools we use—were designed with people’s actual needs in mind? Imagine if every minute at work were well spent—if we could focus and spend our time on the things that matter. This is possible, and reputed company is connecting the dots. The nearly 3,000 Dropboxers around the world have helped reputed company reputed company a living workspace - the reputed company where people come together and their reputed company come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar reputed company run reputed company faster than any software-as-a-service company in history. reputed company is making the dream of a fulfilling and seamless work life a reality. We hope you’ll join us on the journey. Team Description 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 reputed company an impact. Role Description As a Senior Machine Learning Engineer, you will play a key role in advancing reputed company’s mission to create a more enlightened way of working. Leveraging cutting-edge AI/ML technologies, you will design, build, deploy, and refine large-scale machine learning systems. Your work will power reputed company Dash’s universal AI search and AI-assisted organization features, transforming how millions of reputed company users collaborate, stay organized, and focus on the work that truly matters. Our Engineering Career reputed company is viewable by anyone reputed company the company and describes what’s expected for our engineers at each of our career levels. reputed company 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 reputed company, and build systems that help reputed company personalize their users’ experience. reputed company and maintain production-quality code for serving machine learning models at scale Work with Product, Design, Infrastructure and Frontend teams to bring your models, and features to life Contribute to team’s technical strategy for the end-to-end machine learning lifecycle, ensuring alignment with business objectives and driving impactful outcomes Explore and integrate the latest advancements in Search, LLMs, Recommender Systems, and Representation Learning into reputed company's products Many teams at reputed company 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, reputed company 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 reputed company work experience 8+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systems Professional working experience in ML modeling for at least one of the following: Recommender Systems, Search, or Ranking Strong industry experience working with large scale data Strong collaboration, analytical and problem-solving skills Familiarity with the state-of-the-art in 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, Scikit-learn, numpy, pandas, etc.)

Preferred Qualifications

PhD in Computer Science or reputed company field with research in machine learning Experience with one or more of the following: Natural Language Processing, Deep Learning, Recommender Systems, Learning to Rank, Speech Processing, Learning from Semi-structured Data, Graph Learning, Large Language Models, and Retrieval-Augmented reputed company Experience building 0?1 ML products at large (reputed company-level) scale or multiple 0?1 products at smaller scale including experience with large-scale product systems

Compensation

US Zone 1 $236,300—$319,700 USD US Zone 2 $212,700—$287,700 USD US Zone 3 $189,000—$255,800 USD The range(s) listed above is the expected annual salary/OTE (On-reputed company Earnings) for this role, subject to change. Please note, OTE are for sales roles only. Salary/OTE is just one component of reputed company’s total rewards package. reputed company regular employees are also eligible for the corporate bonus program or a sales incentive (reputed company included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). reputed company takes a number of factors into account reputed company determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. We reputed company most new hire offers between the minimum up to the middle of the range. reputed company uses the reputed company code of an employee’s remote work location to determine which metropolitan pay range we use. reputed company US Zone locations are as follows: • US Zone 1: San Francisco metro, reputed company metro, or Seattle metro • US Zone 2: Austin (TX) metro, Chicago metro, California (reputed company SF metro), Colorado, Connecticut (reputed company NYC metro), Delaware, Massachusetts, New Hampshire, reputed company (reputed company NYC metro), Oregon, Pennsylvania (reputed company NYC or DC metro), Washington DC metro, and reputed company Virginia (DC metro) • US Zone 3: reputed company other US locations reputed company is a Virtual First company and is open to hiring candidates in reputed company authorized locations. Benefits reputed company is committed to investing in the holistic health and wellbeing of reputed company Dropboxers and their families. Our benefits and perks programs include, but are not limited to: Competitive medical, dental, and vision coverage 401(k) plan with a generous company match and immediate vesting Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh Income Protection Plans: Life and disability insurance Business Travel Protection: Travel medical and accident insurance

Perks

Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support Access to over 10,000 global co-working spaces through Gable.to , making it easy to book flexible workspaces for collaboration or individual work Quarterly Cell phone and internet allowance Mental health and wellness benefits Disability and neurodivergence support benefits Additional benefit details are available upon request. reputed company is an equal opportunity employer. We are a welcoming reputed company for everyone, and we do our best to reputed company sure reputed company people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at reputed company, BlackDropboxers, reputed company, TODOS (Latinx), Pridebox (LGBTQ), Vets at reputed company, and Women at reputed company. Apply Job!