MLOps Engineer, Diligent Robotics
AI-powered robots for patient care teams
Be an early applicant
AI-powered robots for patient care teams
201-500 employees
Be an early applicant
201-500 employees
Company mission
To create robot assistants that help healthcare workers with routine tasks so they can focus on what they do best: patient care.
Role
Who you are
- Bachelor’s degree in Computer Science, related field, or equivalent experience
- 5+ years of combined experience in MLOps, DevOps or Software Engineering or related technical roles
- Deep experience in modern cloud infrastructure (AWS, Azure, GCP) especially managed ML/AI services
- Experience with modern datastores at small to medium scale (Firestore, Redshift, Postgres, Mongo, distributed queues like Kafka, MosquittoMQ)
- Experience automating system provisioning, configuration, and Infrastructure as Code (Terraform, Ansible, etc)
- Management of hosting environment, including database administration and scaling an application to support load changes
- Experience soliciting systems requirements, designing, and implementing new platform components leveraging infrastructure or SaaS services
- Experience working with distributed, fault tolerant systems
- Experience with converting monolithic applications to microservices and service discovery technology
- Solid Linux skills and proficiency in at least one high-level language (i.e. Python)
- Experience working in an agile methodology development lifecycle
What the job involves
- The MLOps Engineer works together with engineering teams, IT, and Security to address unique business challenges through comprehensive solutions while taking into account system uptime, reliability, and maintainability. Instrument and monitor the breadth of our full platform stack (hosts, applications, and performance).
- In this role you will work closely with our engineering and information security teams to enhance the automated system provisioning and deployment subsystems within codified infrastructure.
- You will work with developers to create more robust and scalable services independent of cloud implementations.
- You will help to isolate, trap, and respond from the inevitability of system failure and develop strategies for continuous monitoring and analysis to reduce both downtime and required manual intervention. You will participate in On-Call rotation to maintain platform SLAs
- Analyze our current operational toolset for shortcomings and product improvements; provide and implement recommendations
- Creating, configuring and maintaining cloud-based infrastructure and services for the rapid development and monitoring of complex robotics and analytics applications
- Build tools to automate monitoring and management of robot fleets
- Build tools to automate and improve ML Ops tooling and workflow
- Build tools to automate and improve data workflows for ML training and simulation
- Triage issues as they arise, both on robots and in deployed software
- Automate common operations to allow Diligent’s robotic fleet to scale exponentially
- Being an active member of the software engineering team, helping to improve the organization’s SDLC process and minimizing time from code-complete to production
- Mentor engineers in SRE best practices and modern software engineering
- Occasional off-hours, on-call work required
Our take
Healthcare workers do everything they can to provide high-quality care to patients, but the high-pressure work environment can make this difficult. Whilst in-person care is their most important job, different scenarios will require workers to constantly fetch different medical items for patients, increasing job pressure and restricting the time workers have to spend with patients.
Diligent Robotics develops AI-powered robots for patient care teams called Moxi that can fetch, store, and deliver items needed within healthcare facilities. The robots have specialized storage compartments for sensitive medical materials and can safely navigate through elevators, security doors, automatic doors, and other existing infrastructure.
Whilst AI is becoming more prevalent in the healthcare industry, Diligent Robotics has taken a bold move to develop AI-driven robots that tackle the constant frustrations of item fetching that workers face. This allows them to focus more on providing in-person care to patients. Its Moxi Robot is gaining promising traction, reaching 1 million deliveries in early 2025.
Freddie
Company Specialist at Welcome to the Jungle
Insights
70% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Sep 2023
$25m
LATE VC
Apr 2022
$30m
SERIES B
Total funding: $70.9m
Company benefits
- A collaborative and mission-driven team working on challenging problems that promise to radically change the future of healthcare
- Competitive health plan coverage for individuals and dependents
- Experience working with some of the leading experts in human-robot interaction
- A positive and supportive working environment in Austin, TX
Company HQ
North Side, Austin, TX
Leadership
Andrea L. Thomaz
(Co-Founder & CEO)Associate Professor for the Socially Intelligent Machines at the Georgia Institute of Technology from 2007 to 2016, and in Electrical and Computer Engineering for The University of Texas at Austin since 2016.
Vivian Chu
(Co-Founder & CTO)Experience as User Experience Researcher at Google X (Project Wing). Graduate Research Assistant for the Georgia Institute of Technology from 2013 to 2017.
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