The Senior Machine Learning Engineer is responsible for delivering machine learning (ML) infrastructure solutions across Workiva with the goal of improving quality, reliability, and efficiency of ML services. The role develops tools, systems, and automation to help monitor, measure, manage, and make transparent Workiva’s machine learning models. The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability. The role works across product lines to standardize tools and methodologies. They will also provide technical leadership to a team of Engineers to create a reliable and stable platform.
What You'll Do
Deliver, update, maintain machine learning model training infrastructure
Design systems to enable rapid ML development, high availability, and clear observability
Write automated tests (unit, integration, functional, etc) with ML solutions in mind
Develop APIs with product teams to access Workiva’s ML models
Responsible for serving/hosting ML models to product teams including monitoring
Debug and troubleshoot components across multiple service and application contexts
Engage with support teams in triaging and resolving production issues
Participate in on-call rotations which include 24x7 support of all of Workiva’s SaaS hosted environments
Perform Code Reviews within your group’s products, components, and solutions; involve external stakeholders (Ex. Security, Architecture) where appropriate
Communicate complex technical issues to both technical and non-technical audiences
Forecast and plan solution development team deliverables and timelines
Maintain the backlog, coordinates teams, and works to resolve interdependencies with other product teams when serving in the tech lead role
Manage and resolve dependencies between teams
Collaborate with software, data architects and product managers to design complete software products that can be leveraged to meet a broad range of customer needs and requirements
What You'll Need
Bachelor’s degree in Computer Science, Engineering or equivalent combination of education and experience
4+ years of relevant experience in software engineering, infrastructure engineering, full stack development or equivalent
Experience with the machine learning development cycle and tool sets
Experience with Python, GO, Java, or other relevant languages preferred
Experience with Github, VCS, or equivalent source control systems
Experience with Docker and preferably Kubernetes
Experience with Amazon Web Services or Google App Engine, or other cloud service providers
Experience in an Agile/Sprint working environment
Extensive proficiency in programming to include a solid foundation in computer science, with competencies one or more of: data structures, algorithms, object-oriented software design, and working with cloud-based distributed systems.
Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
Experience debugging complex systems or applications
Knowledge of HTTP and web protocols
Knowledge of one or more commercial databases
Excellent planning and organizing skills to prioritize numerous projects and deliverables
Knowledge of systems performance tuning and load testing
Proven experience working product teams to integrate machine learning features into the product
Production-level testing best practices (signals tests, load testing for ML services, etc) and optimizing models to work at scale
Experience building model deployment pipelines and/or CI/CD pipelines and infrastructure
Working Conditions & Travel
Reliable internet access for any period of time working remotely, if not located in a Workiva office, as we embrace flexible work arrangements.
How You’ll Be Rewarded:
$102,000.00 - $173,000.00
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.
Where You’ll Work
Our values drive how we work and who we hire. You will see these values ingrained in how we support our customers, work with team members, build our products and in the work environment we’ve created.
Customer Success: Always delight our customers.
Trust: Rely on each other.
Integrity: Do the right thing, every time.
Collaboration: Share resources and work together.
Innovation: Keep creating solutions and finding better ways.
Inclusion: Support a diverse community where we all belong.
Accountability: Be responsible for your success and failure.
We believe our people are our greatest asset, and our unique culture gives employees the opportunity to make an impact everyday. We give our employees the freedom and resources they need—backed by our culture of collaboration and diverse thought—to continue innovating and breaking new ground. We hire talented people with a wide range of skills and experiences who are eager to tackle some of today’s most challenging problems.
At Workiva, you’ll enjoy:
Fantastic Benefits: With coverage starting day one, choose from competitive health, dental, and vision plans on the largest physician networks available.
Casual Dress: Workiva has a casual work environment, most people wear jeans to the office.
Involvement: Ability to participate in Business Employee Resource Groups (Black, Hispanic, Asian, Women, Rainbow (LGBTQIA+), Veterans, Disabilities), Volunteering, Company wide celebrations, and more
Work-life Balance: We have competitive PTO, VTO and Parental Leave. We encourage employees to spend time enjoying life outside of work.
Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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. We strongly encourage and welcome people from historically marginalized groups to apply.