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

Requirements

Candidates should possess a Bachelor's degree in Computer Science or a related field, or equivalent experience, with over 5 years of combined experience in MLOps, DevOps, or Software Engineering. Deep experience in modern cloud infrastructure (AWS, Azure, GCP), including managed ML/AI services, is required. Experience with modern datastores, automating system provisioning with Infrastructure as Code (Terraform, Ansible), managing hosting environments, and designing/implementing platform components is essential. Proficiency in Linux and at least one high-level language like Python, along with experience in agile development and distributed, fault-tolerant systems, is necessary.

Responsibilities

The MLOps Engineer will instrument and monitor the platform stack, enhance automated system provisioning and deployment, and create robust, scalable services independent of cloud implementations. Responsibilities include isolating and responding to system failures, developing continuous monitoring strategies, and participating in on-call rotations. Key duties involve analyzing operational toolsets, recommending improvements, creating and maintaining cloud infrastructure for robotics and analytics applications, and building tools to automate monitoring and management of robot fleets, ML Ops tooling, and data workflows. The role also includes triaging issues, automating operations for fleet scaling, improving the SDLC process, and mentoring engineers in SRE best practices.

Skills

MLOps

Cloud Infrastructure

Automation

Monitoring

Data Workflows

Robotics

Software Development

System Administration

Troubleshooting

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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