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Director, Machine Learning Engineering

Waltham, MA, United States

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo.

ZoomInfo is looking for an experienced professional to lead our Machine Learning Engineering on the East Coast. In this role, you will oversee a remote global machine learning engineering team. Distinct experience in big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP.This is a hands-on leadership role which involves leading machine learning teams, building best architectural solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.

What you'll do:

Drive the execution of machine learning projects. Ensure smooth operation and project delivery

Manage, mentor, and lead a remote team of machine learning engineers, guide the team through the industry best practices

Drive cross functional collaboration, identify and deliver on potential opportunities

Coordinate project planning and management, in conjunction with product, data science, and ML engineering, to ensure timely delivery and focused execution

Design and architect machine learning solutions. Guide the team thru the development life cycle process

Help drive the design and implementation of ML platform capabilities to streamline all phases of data-centric innovation, including data access and exploration, model development, productionisation, testing, and monitoring of machine learning pipelines

Manage projects to productionize and deploy data science models and pipelines

Evangelize and drive adoption of the ML platform, and strive for operational excellence

Lead the team in the creation of product features with Generative AI, NLP, deep learning, and classical machine learning techniques

Design and establish measures of team performance, feedback processes, and rituals

Advocate for the team needs and manage personnel issues, providing guidance and support when necessary

What you'll bring: 12+ years working in the machine learning space

5+ years experience managing teams

Proven experience building successful development teams

Degree in Computer Science, Electrical Engineering, or related field

Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems

Experience with deep learning frameworks such as PyTorch, TensorFlow, HuggingFace

#LI-VC1

#LI-Hybrid

Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.

$232,000-$319,000 USD

About us:

ZoomInfo (NASDAQ: ZI) is the trusted go-to-market platform for businesses to find, acquire, and grow their customers. It delivers accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. Businesses use ZoomInfo to increase efficiency, consolidate technology stacks, and align their sales and marketing teams - all in one platform.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an Equal Opportunity employer. We are committed to equal employment opportunities for applicants and employees regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic or status protected by applicable law. At ZoomInfo, we also consider qualified candidates with criminal histories, consistent with legal requirements.

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