MLOps Engineer at Diligent Robotics

Wake Forest, North Carolina, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial IntelligenceIndustries

Skills

Key technologies and capabilities for this role

MLOpsCloud InfrastructureAutomationMonitoringData WorkflowsRoboticsSoftware DevelopmentSystem AdministrationTroubleshooting

Questions & Answers

Common questions about this position

What experience level is required for the MLOps Engineer role?

The role requires 5+ years of combined experience in MLOps, DevOps, Software Engineering, or related technical roles, along with a Bachelor’s degree in Computer Science or equivalent experience.

What technical skills are essential for this position?

Key skills include deep experience in modern cloud infrastructure (AWS, Azure, GCP) especially managed ML/AI services, experience with datastores like Firestore, Redshift, Postgres, Mongo, Kafka, and Infrastructure as Code tools like Terraform and Ansible.

Is remote work an option for this role?

This information is not specified in the job description.

What is the compensation for the MLOps Engineer position?

This information is not specified in the job description.

What does the team environment look like at Diligent Robotics?

You will work closely with engineering teams, IT, Security, developers, and information security teams as an active member of the software engineering team, participating in on-call rotation and mentoring engineers in SRE best practices.

Diligent Robotics

Develops robots to assist healthcare staff

About Diligent Robotics

Diligent Robotics develops robots like Moxi to assist hospital staff with routine tasks, allowing healthcare professionals to focus more on patient care. Moxi can perform activities such as delivering lab samples and supplies within hospitals, which can save staff up to 30% of their workday. This helps improve operational efficiency and enhances the patient experience. The company uses an A.I. framework that includes social intelligence and human-guided learning to enable Moxi to navigate hospital environments effectively. Unlike competitors, Diligent Robotics focuses specifically on healthcare, providing tailored robotic solutions that integrate seamlessly into hospital workflows. The goal is to transform healthcare by improving staff productivity and patient care through the use of robotics.

Austin, TexasHeadquarters

2017Year Founded

$68.9MTotal Funding

LATE_VCCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Competitive salary & equity

Competitive health plan coverage

Risks

Increased competition from well-funded robotics companies in the USA, China, and Israel.

Maintaining a competitive edge in AI innovation is a constant challenge.

Gender disparity in robotics may impact talent acquisition and retention.

Differentiation

Diligent Robotics' Moxi robot specializes in hospital logistics, enhancing staff efficiency.

Moxi's social intelligence and human-guided learning set it apart in healthcare robotics.

Diligent Robotics focuses on operational efficiency, aligning with value-based care models.

Upsides

Diligent Robotics raised $25 million to expand Moxi's reach in hospitals.

Moxi completed 110,000 autonomous elevator rides, showcasing advanced mobility capabilities.

Growing demand for robotic solutions in healthcare boosts Diligent Robotics' market potential.

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