Join our team at Workiva as a Senior Manager of ML Applied Science ! As a pivotal member of our AI/ML team, your expertise will be instrumental in leading projects that demand innovative problem-solving, including the integration of cutting-edge Generative AI into our products.
Leveraging your applied science prowess, you'll tackle challenges related to LLM and ML based techniques to solve complex customer requirements in our various vertical domains. You'll lead applied scientists through projects, address these challenges, and foster the career growth and skill development of your direct reports.
If you're passionate about pioneering the possibilities of Generative AI and want to be part of a team driving innovation at Workiva, we invite you to join us! Learn more about Workiva's Generative AI and be part of shaping the future of ML with us.
What You'll Do
Collaborate and Lead
Collaborate closely with product teams to lead and develop applied scientists in owning advanced solutions including RAG, Agent based workflows, and model tuning and seamlessly integrating Generative AI and machine learning features into products
Work closely with cross-functional stakeholders, including Product and other engineering teams, to align goals and deliverables
Support technical leadership, coach and guide ML engineers and scientists aligned with the technical leaders of the team
Manage and lead AI/ML teams balancing diverse skill sets consisting of ML scientists, ML engineers, and full stack software engineers
Communicate complex technical issues to both technical and non-technical audiences effectively
Collaborate with software, data architects, and product managers to design complete software products that meet a broad range of customer needs and requirements
Manage the team within an agile development environment, ensuring timely and high-quality delivery of SaaS products
Vision and Strategy
Help shape the AI & ML vision at Workiva, focusing on integrating traditional ML and Data Science principles with Generative AI to augment our current product offerings
Ensure Reliability and Support
Be accountable for the team's on-call rotations, providing 24x7 support for all of Workiva's SaaS hosted environments
Address customer requests and feedback, continuously improving the user experience across multiple solutions and problem spaces
What You'll Need
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, or a related quantitative field (e.g., Statistics, Mathematics, Physics) or equivalent combination of education and experience. Preferred Masters degree in Computer Science or related fields.
7+ years in ML engineering, applied science, or related software engineering experience
4+ years of experience in a people management role
Proficiency in ML development cycles and toolsets
Preferred Qualifications
Expertise with LLMs and related technologies
Experience leading teams of 5+ people, preferably with diverse skill sets and specializations
Proven experience leading teams in Agile and Sprint-based environments
Proven experience working with product teams to integrate machine learning features into the product
Solid experience in delivering SaaS products, specifically hosted in AWS, Azure, or GCP
In-depth knowledge of Generative AI, traditional Machine Learning, and Data Science principles
Excellent problem-solving skills, with the ability to address customer needs and improve product experiences
Working Conditions
Willingness to travel up to 25% for team and corporate meetings, fostering relationships and representing company interests
Reliable internet access for remote working opportunities
How You'll Be Rewarded
Salary range in the US: $200,000.00 - $320,000.00A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire
401(k) match and comprehensive employee benefits package
The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.
Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
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