Machine Learning Engineer
We are looking for a Machine Learning Engineer to join the Data Management & Analytics team to help us build the next generation of machine learning and AI products in the Workiva Platform. ML Engineers at Workiva work with complex ML pipelines which include various cloud platform technologies, Kubernetes, industry standard languages such as Python, and ML tool chains such as Argo, JupyterHub, and MLFlow. This team partners with data science, data engineering, and many other development team around the organization to deliver ML/AI products to customers. If you're excited about building ML infrastructure and pipelines and bringing new features to customers come join Workiva on its ML/AI journey!
Summary
The Machine Learning Engineer contributes to 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 ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability.
What You'll Do
- Deliver, update, maintain machine learning model training infrastructure
- Implement systems to enable rapid ML development, high availability, and clear observability
- Write automated tests (unit, integration, functional, etc.) with ML solutions in mind
- Implement 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
- Estimate your own work with guidance
What You'll Need
Education
- Bachelor’s degree in Computer Science, Engineering or equivalent combination of education and experience
- 2+ years of relevant experience in software engineering, infrastructure engineering, full stack development or equivelent
- Fundamental understanding of the machine learning development cycle and tool sets
- Experience with Python, GO, Java, or other relevant languages
- Experience with Github, VCS, or equivelent 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
- Experience debugging complex systems or applications
- Knowledge of HTTP and web protocols
- Knowledge of one or more commercial databases
- Knowledge of systems performance tuning and load testing
- Experience working with 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
- Demonstrated 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
- Excellent planning and organizing skills to prioritize numerous projects and deliverables
- Less than 10%
- Reliable internet access for any period of time working remotely, not in a Workiva office
How You'll Be Rewarded
- Base Pay Range in Colorado: $111,000 - $145,000
- A discretionary bonus typically paid annually
- Restricted Stock Units granted at time of hire
- 401(k) match
The base pay range represents the low and high end of the hiring range for this job. Actual pay will vary and may be above or below the range based on various factors including but not limited to relevant skills, experience, and capabilities.
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 Employee Resource Groups, (Women in Tech, Women in Sales, Ethnic Diversity, Veterans, Rainbow (LGBTQ), Remote Employees, Caregiving) 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.
Learn more about life at Workiva: https://www.linkedin.com/company/workiva/
Learn more about benefits: https://www.workiva.com/careers/benefits
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.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. Effective October 18, 2021, proof of COVID-19 vaccination is required to visit any Workiva office, attend in-person meetings, or travel for business purposes.
