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Remote Director Machine Learning Jobs in Iowa (NOW HIRING)

Workiva, Inc.

Staff Machine Learning Engineer

Ames, IA · On-site +1

As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and ... Reliable internet access for remote working opportunities How You'll Be Rewarded Salary range in ...

ABB

OEM Sales Director-Machinery

Ames, IA · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Imagine Learning

Account Executive

Iowa, IA · On-site +1

As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ... This is a regular, full-time position, typically reporting to a Regional Sales Director.

Tribe Wellness

$55K - $100K/yr

... machines. We bridge the gap between brands and revenue by turning our clients' customers into ... learning platform, Rippling, Salesforce, Vonage, Google Workspace, and Slack, ensuring you're ...

Isupark

Senior AI Product Manager

Ames, IA · On-site +1

$123K - $163K/yr

... of machine learning and artificial intelligence capabilities within Workiva's platform. In this ... Reliable internet connection required during remote work periods #J-18808-Ljbffr

Workiva, Inc.

Senior AI Product Manager

Ames, IA · On-site +1

$123K - $163K/yr

... of machine learning and artificial intelligence capabilities within Workiva's platform. In this ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Workiva, Inc.

Senior AI Product Manager

Ames, IA · On-site +1

$123K - $163K/yr

... of machine learning and artificial intelligence capabilities within Workiva's platform. In this ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

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Remote Director Machine Learning information

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a Remote Director of Machine Learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What are popular job titles related to Remote Director Machine Learning jobs in Iowa? For Remote Director Machine Learning jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Director Machine Learning jobs in Iowa look for? The top searched job categories for Remote Director Machine Learning jobs in Iowa are:
What cities in Iowa are hiring for Remote Director Machine Learning jobs? Cities in Iowa with the most Remote Director Machine Learning job openings:
Remote Director Machine Learning jobs near you
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Workiva, Inc.

Ames, IA • On-site, Remote

Other

Retirement

Re-posted 16 days ago

Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 209 rated software companies

Job description

Join our team at Workiva as a Staff Machine Learning Engineer! 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.

If you're passionate about pioneering the possibilities of Generative AI and want to be part of a team driving innovation at Workiva, we invite you to join us! Learn more about Workiva's Generative AI and be part of shaping the future of ML with us.

What You'll Do

Architect and Develop Solutions

  • 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 and Lead

  • 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

Ensure Reliability and Support

  • 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)

What You'll Need

Required Qualifications

  • 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

Preferred Qualifications

  • 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

  • Proven experience working with product teams to integrate machine learning features into the product

  • 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

Working Conditions

  • Less than 10% travel

  • Reliable internet access for remote working opportunities

How You'll Be Rewarded

Salary range in the US: $163,000.00 - $261,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

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.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

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 talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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