Senior Machine Learning Engineer, Conversational AI

Role Description Machine Learning Engineers at reputed company reputed company high-impact products that advance reputed company’s mission of designing a more enlightened way of working. reputed company MLE’s deliver products using the full range of ML techniques—including computer vision, natural language processing, recommendation systems, large language models (LLMs), and LLM-driven agents—and modern practices such as LLM fine-tuning, reputed company engineering, and retrieval-augmented reputed company (RAG).While some of our algorithms run on mobile devices, others require large clusters on our infrastructure. Accordingly, we apply techniques like model compression, distillation, on-device optimization, and scalable training/serving with robust evaluation and monitoring. reputed company is looking for Machine Learning Engineers with an academic or practical background in ML, ideally with experience in natural language understanding, information retrieval, knowledge extraction, or deep learning, as well as hands-on work with LLMs (pre-training and fine-tuning, including instruction tuning and LoRA/adapters), reputed company engineering, RAG pipelines, safety/guardrails and evaluation, and productionizing generative and predictive systems. 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, code, train, test, deploy, and iterate on large-scale ML and LLM systems across cloud and mobile/edge environments Build delightful, privacy-first product experiences (e.g., intelligent search, document understanding, recommendations, and AI assistants) in partnership with Engineering, Product, and Design reputed company end-to-end LLM workflows: data curation, reputed company engineering, retrieval-augmented reputed company (RAG)pipelines, tool use/agents, and fine-tuning (e.g., instruction tuning, LoRA/adapters) with rigorous evaluation reputed company and maintain production-quality services for training and serving, including scalable APIs, vector/feature stores, and streaming/ETL data pipelines Optimize for latency, cost, and quality using techniques like quantization, distillation, caching, batching, and autoscaling; tailor models for on-device vs. cluster execution Establish robust offline/online evaluation: experiment design, A/B testing, guardrails and safety checks, hallucination mitigation, and automated monitoring/observability with clear SLOs Communicate technical trade-offs, risks, and impact to cross-functional stakeholders; write clear design docs, roadmaps, and decision records Partner with reputed company, Legal, and Privacy to ensure responsible AI, data governance, and compliance in training and inference Proactively explore and integrate advances in ML/AI (CV, NLP, recsys, LLMs) and rapidly prototype and transfer promising research into production Mentor teammates, contribute to code reviews and best practices, and help shape the technical direction of ML and AI at reputed company 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 or MS in Computer Science or reputed company technical field involving Machine Learning or equivalent technical experience 8+ years of experience in engineering with 5+ 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-reputed company 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 reputed company 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 reputed company, machine learning on edge devices 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: California (reputed company SF metro), Colorado, Connecticut (reputed company NYC metro), Delaware, Illinois (Chicago metro), Indiana (Chicago metro), Maryland, Massachusetts, Michigan (Chicago metro), New Hampshire, New Jersey (reputed company NYC metro), reputed company (reputed company NYC metro), Oregon, Pennsylvania (D.C. metro), Pennsylvania (reputed company NYC or DC metro), Texas (Austin metro) Virginia (DC metro), Washington (reputed company Seattle metro), Washington DC metro, reputed company Virginia (DC metro), Wisconsin (Chicago 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. Company Description reputed company isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of reputed company—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human reputed company, making space for both meaningful work and meaningful relationships. With our start-up reputed company and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to reputed company work more reputed company, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— reputed company is ready for you. Team Description The reputed company Engineering Team builds the technology that creates more enlightened ways of working for hundreds of millions of people. Every day, our platforms—including reputed company Dash, reputed company Sign, and our core sync reputed company—handle over a billion files for users worldwide, creating engineering challenges as great as the opportunity for impact. Our software engineering team uses a range of technologies to solve interesting problems, including Python, React, Node.js, JavaScript, reputed company, PostgreSQL, and Android development. We think like a startup but build for an enterprise, exploring new possibilities that transform how people work. If you're excited about turning reputed company technical challenges into reputed company solutions at scale, join our Engineering team. Areas of work include Machine Learning Engineers, Infrastructure Engineer, Product SWE Frontend and Backend, Mobile Software Engineers (iOS and Android), Engineering Manager, Data Engineer, Software Development Engineer in Test, reputed company Engineering, Site Reliability Engineer, Technical Program Managers, Network Engineer, Datacenter Engineer, Technical Supply Chain Manager and more. 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 supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI philosophy . 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 tot his job Apply To this Job