Principal Machine Learning Engineer, Workiva
$167-284k
✅ A discretionary bonus typically paid annually ✅ Restricted Stock Units granted at time of hire
Business data platform
Job no longer available
Business data platform
1001+ employees
Job no longer available
$167-284k
✅ A discretionary bonus typically paid annually ✅ Restricted Stock Units granted at time of hire
1001+ employees
Company mission
Workiva’s mission is to power transparent reporting for a better world.
Role
Who you are
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience
- Minimum 8 years of ML engineering experience
- Preferred Qualifications
- Technical leadership experience within an ML team
- Proficiency in architecting highly-available MLOps and ML solutions
- Expertise in the ML development cycle and associated tool sets
- Demonstrated ability to identify and apply ML solutions effectively
- Experience with Generative AI and integrating Gen AI models
- Strong organizational skills with the ability to manage multiple projects
- Proven track record of problem-solving and decision-making in ambiguous situations
- Proficiency in Python, GO, Java, or similar languages
- Familiarity with Git or equivalent version control systems
- Experience with Docker, preferably Kubernetes, and cloud platforms like AWS
- Agile/Sprint working environment experience
- Solid foundation in computer science principles and cloud-based distributed systems
- Excellent communication skills, both verbal and written, for effective collaboration
- Proficiency in debugging complex systems and knowledge of web protocols
- Understanding of commercial databases and systems performance tuning
- Experience in production-level testing and optimizing models for scalability
- Working Conditions:
- Minimal (<10%) travel for customer research or collaboration
- Reliable internet access for remote working opportunities
What the job involves
- The Principal Machine Learning Engineer at Workiva spearheads the strategic vision for advancing Machine Learning (ML) solutions, ensuring inclusivity, and fostering innovation
- This role champions MLOps excellence, crafting cloud infrastructure solutions to expedite ML development cycles. As a technical leader, the Principal ML Engineer guides a team in creating Workiva’s Generative AI platform, empowering product teams to pioneer transformative solutions
- They offer expertise and mentorship within the Machine Learning domain, driving progress through collaboration and technical acumen
- Shape the strategic engineering roadmap for ML advancement
- Explore cutting-edge technologies for strategic ML endeavors
- Architect systems to facilitate agile ML development with robust observability
- Advise Workiva leadership and stakeholders on ML strategies
- Lead the team in adopting new ML technologies and methodologies to align with Workiva's goals
- Mentor junior ML engineers and scientists while establishing team standards and processes
- Collaborate with product teams to integrate ML solutions via APIs
- Maintain and evolve machine learning infrastructure
- Forecast and coordinate development timelines, ensuring timely deliverables
- Manage backlog and resolve interdependencies with other product teams
- Host ML models for product teams, ensuring monitoring and performance
- Develop automated tests tailored for ML solutions
- Troubleshoot and debug components across diverse service and application contexts
- Assist support teams in resolving production issues and participate in on-call rotations
- Conduct code reviews and engage external stakeholders in ensuring solution quality
- Communicate complex technical issues effectively to diverse audiences
- Collaborate with software architects, data experts, and product managers to design comprehensive software products meeting varied customer needs
Our take
For large-scale businesses, collecting and sharing data can be a complex and challenging process. Workiva solves this problem with its cloud-based data platform.
Workiva is one of the biggest players in the market, serving around 75% of Fortune 500 companies, including Google and Delta. Workiva's controlled, secure and audit-ready platform has maintained a clear edge over much of its competition.
Workiva's quality product and its commitment to transparency has made it a firm favourite with companies around the world. If it can maintain this, it stands to consolidate its impressive growth even further in the coming years.
Kirsty
Company Specialist
Insights
Company
Funding (last 2 of 4 rounds)
Oct 2014
$0.7m
EARLY VC
Dec 2012
$30.7m
SERIES C
Total funding: $46.9m
Company benefits
- A discretionary bonus typically paid annually
- Restricted Stock Units granted at time of hire
- 401k w/ match
- Health, dental, and vision
- Vacation accruals
- Life and disability insurance
- Employee stock purchase plan
- Volunteer time-off
- Parental leave
- Travel & accident insurance
- Paid holidays
- Work remotely
- Discount programs
- Health and wellness
- Pet-friendly atmosphere
- Choose from additional plans that cover legal expenses, stolen identity, or even your pet's health
Company values
- Customer success: Always delight our customers.
- Innovation: Keep creating solutions and finding better ways.
- Trust: Always rely on each other.
- Inclusion: Support a diverse community where we all belong.
- Integrity: Do the right thing, every time.
- Accountability: Be responsible for your success and failure.
- Collaboration: Share resources and work together.
Company HQ
Holborn, London, UK
Articles
Leadership
Marty Vanderploeg
(CEO, not founder)Previously worked as a Professor at Iowa State University. Founded Engineer Animation Inc. in 1990.
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