Senior Machine Learning Engineer, Workiva

$102-173k

+ Discretionary bonus + Restricted Stock Units

AWS
Docker
Kubernetes
Python
Java
Go
Junior and Mid level
Remote in US
Workiva

Business data platform

Be an early applicant

Workiva

Business data platform

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Be an early applicant

$102-173k

+ Discretionary bonus + Restricted Stock Units

AWS
Docker
Kubernetes
Python
Java
Go
Junior and Mid level
Remote in US

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Company mission

Workiva’s mission is to power transparent reporting for a better world.

Role

Who you are

  • 2+ years of relevant experience with a Bachelor's Degree or equivalent experience
  • Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests
  • Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

Desirable

  • 4+ years of ML engineering or related experience
  • Proficiency in the ML development cycle, toolsets, and applying ML solutions to problems
  • Experience with model deployment, data pipelines, CI/CD pipelines, and infrastructure
  • Familiarity with Generative AI and related development patterns
  • Proficient in Python, GO, Java, or similar languages, with source control systems (e.g., GitHub)
  • Experience with Docker, Kubernetes (preferred), and cloud services (AWS or equivalent)
  • Strong programming foundation, including data structures, algorithms, and distributed systems
  • Experience in Agile/Sprint environments and debugging complex systems or applications
  • Knowledge of HTTP/web protocols, databases, performance tuning, and production-level testing
  • Excellent communication and organizational skills for managing multiple projects and deliverables

What the job involves

  • The Senior Machine Learning Engineer is responsible for delivering innovative machine learning (ML) solutions across Workiva using MLOps and software engineering best practices
  • The Senior ML Engineer will own and deliver projects to develop ML features that require creative problem-solving such as integrating Gen AI into Workiva’s platform
  • The role also develops tools, systems, infrastructure, and automation to help develop, monitor, and manage Workiva’s machine learning solutions
  • The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability
  • They will apply domain expertise and ownership in the Machine Learning space while providing guidance to team members
  • Design systems to enable rapid ML development, high availability, and clear observability
  • Develop APIs with product teams to access Workiva’s ML solutions
  • Deliver, update, maintain machine learning infrastructure
  • Be a technical leader on the ML team, mentoring less experienced ML engineers and scientists along with defining team best practices and processes
  • Write automated tests (unit, integration, functional, etc) with ML solutions in mind
  • 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 team’s products, components, and solutions; involve external stakeholders (Ex. Security, Architecture) where appropriate
  • Collaborate with software, data architects and product managers to deliver complete software products that can be leveraged to meet a broad range of customer needs and requirements

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 headshot

Kirsty

Company Specialist

Insights

Some candidates hear
back within 2 weeks

5% employee growth in 12 months

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

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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