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Remote Machine Learning Robotics Jobs in South Carolina

Workiva, Inc.

Senior AI Product Manager

Charleston, SC · On-site +1

$118K - $156K/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 ...

Booz Allen Hamilton, Inc.

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Consor Engineers

Proposal Coordinator

Columbia, SC · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Consor Engineers

Proposal Coordinator

Columbia, SC · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

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Remote Machine Learning Robotics information

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in South Carolina? For Remote Machine Learning Robotics jobs in South Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in South Carolina look for? The top searched job categories for Remote Machine Learning Robotics jobs in South Carolina are:
What cities in South Carolina are hiring for Remote Machine Learning Robotics jobs? Cities in South Carolina with the most Remote Machine Learning Robotics job openings:
Remote Machine Learning Robotics jobs near you
Manager, Software Engineering - AI and Data Platform

Manager, Software Engineering - AI and Data Platform

Blackbaud

SC • On-site, Remote

$133K - $173K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Blackbaud rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

74th of 209 rated software companies

Job description

The Engineering Manager, Data & AI Platform is responsible for leading teams that build, operate, and evolve Blackbaud's enterprise Data & AI platform-the foundation that powers analytics, data products, machine learning, and agentbased experiences across the company.

This role blends people leadership, platform ownership, and technical strategy. You will manage engineers working across modern data and AI infrastructure (Lakehouse, pipelines, feature services, ML enablement, observability, and governance), while ensuring the platform is scalable, secure, costefficient, and productoriented.

Success in this role requires strong engineering judgment, the ability to operate in ambiguity, and a passion for building platforms that accelerate teams and unlock business outcomes for the nonprofit sector.

What You'll Do

  • Own and evolve core Data & AI platform capabilities, including ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers.
  • Drive platform decisions aligned with Blackbaud's Unified Data & AI Platform Strategy (modularity, interoperability, AIfirst design)
  • Partner with Architecture, Governance, and Security to ensure the platform meets trust, compliance, and Responsible AI standards.
  • Balance build vs. buy decisions, prioritizing core competencies while reducing operational complexity.
  • Lead teams to deliver highimpact platform initiatives aligned to AOP priorities (legacy modernization, cloud migration, cost optimization, agent enablement).
  • Ensure platform reliability through operational excellence, including monitoring, incident management, and performance optimization.
  • Establish clear roadmaps, milestones, and success metrics for platform initiatives.
  • Hire, mentor, and grow highperforming platform engineers across geographies.
  • Provide regular feedback, coaching, and career development aligned with Blackbaud's people strategy.
  • Ensure every team member has clear goals, an active IDP, and opportunities to grow in modern Data & AI skills.
  • Collaborate closely with Product, Data Science, Analytics, and Product Engineering teams to ensure the platform accelerates-not blocks-delivery.
  • Influence standards and best practices across the Data Intelligence COE.

What we'll want you to have:

  • 8+ years of experience in software, data, or platform engineering (.NET, Azure, Databricks, ADO preferred)
  • 3+ years of experience managing and developing data engineering teams.
  • Handson experience with modern data platforms, cloud data lakes/lakehouses, distributed processing, streaming, APIs
  • Strong understanding of platform engineering principles and operating production systems at scale.
  • Proven ability to lead through ambiguity and influence without authority.

Stay up to date on everything Blackbaud, follow us on Linkedin, Twitter, Instagram, Facebook and YouTube

Blackbaud powers social impact through purposedriven technology and responsible AI. Guided by our Intelligence for Good vision, we're building a culture where innovation, trust, and human expertise come together to help organizations make a greater difference in the world.

Blackbaud is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

The starting base pay is $133,700.00 to $173,800.00. Blackbaud may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations.

Benefits Include:

  • Medical, dental, and vision insurance

  • Remote-flexible workforce

  • Wellness Programs

  • 401(k) program with employer match

  • Flexible paid time off

  • Generous Parental Leave

  • Donations for Doers

  • Pet insurance, legal and identity protection

  • Tuition reimbursement program

Employment Type: FULL_TIME

What Blackbaud employees say

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