Staff Machine Learning Engineer, Workiva
$120-204k
+ Restricted Stock Units and annual bonus
Less than 10% travel
Business data platform
Job no longer available
Business data platform
1001+ employees
Job no longer available
$120-204k
+ Restricted Stock Units and annual bonus
Less than 10% travel
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 combination of education and experience
- Minimum of 4 years in ML engineering or related software engineering experience
- Proficiency in ML development cycles and toolsets
- Familiarity with Generative AI
- Strong technical leadership skills in an Agile/Sprint working environment
- Experience building model deployment and data pipelines and/or CI/CD pipelines and infrastructure
- Proficiency in Python, GO, Java, or relevant languages, with experience in Github, Docker, Kubernetes, and cloud services
- Experience with commercial databases and HTTP/web protocols
- Knowledge of systems performance tuning and load testing, and production-level testing best practices
- Experience with Github or equivalent source control systems
- Experience with Amazon Web Services (AWS) or other cloud service providers
- Ability to prioritize projects effectively and optimize system performance
- Reliable internet access for remote working opportunities
What the job involves
- As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning solutions across our platform
- Your expertise will be instrumental in leading projects that demand innovative problem-solving, including the integration of cutting-edge Generative AI into our products
- In this role, you'll have the chance to develop robust tools, systems, and infrastructure to bolster the development, monitoring, and management of our machine learning solutions. Leveraging your engineering prowess, you'll tackle challenges related to availability and scaling, ensuring the long-term stability of our systems
- Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering creativity in project execution
- Design systems to enable rapid ML development, high availability, and clear observability
- Develop tools, systems, and automation to support ML solutions, ensuring efficiency, scalability, and rapid development
- Collaborate closely with product teams to develop APIs, maintain ML infrastructure, and integrate machine learning features into products
- Provide technical leadership, mentor less experienced ML engineers and scientists, and define team best practices and processes
- Lead in the ML space by introducing new technologies and techniques, and applying them to Workiva's strategic initiatives
- 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
- Deliver, update, and maintain machine learning infrastructure to meet evolving needs
- Host ML models to product teams, monitor performance, and provide necessary support
- Write automated tests (unit, integration, functional, etc.) with ML solutions in mind to ensure robustness and reliability
- Debug and troubleshoot components across multiple service and application contexts, engaging with support teams to triage and resolve production issues
- Participate in on-call rotations, providing 24x7 support for all of Workiva’s SaaS hosted environments
- Perform Code Reviews within your group’s products, components, and solutions, involving external stakeholders (e.g., Security, Architecture)
- Less than 10% travel
Otta's take
Sam Franklin
CEO of Otta
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.
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
Founders
Marty Vanderploeg
(CEO, not founder)Previously worked as a Professor at Iowa State University. Founded Engineer Animation Inc. in 1990.
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