Phaidra
Senior AI Research Engineer
USRemotePosted 2 days ago£126,289 – £173,648
Full TimeSeniorRemoteVisa SponsorshipUS
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Job Description
About Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they’
Key Highlights
- We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
- We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.
- We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.
- Wear different hats across the research-to-production lifecycle: ML Engineer, ML-Ops Engineer, Software Engineer, and Performance Engineer.
- Own and evolve our research infrastructure end-to-end, from experiment orchestration and distributed training to model tracking, evaluation, and automated deployment, so researchers can move from idea to validated result quickly.
Qualifications
Required Qualifications
- 4+ years of progressive relevant work experience.
- Previous experience in leading projects and owning delivery end-to-end.
- Previous experience as a Software Engineer or Machine Learning Engineer in an ML R&D environment, ideally bridging research and production.
- Understanding of ML and ML-Ops concepts and ability to reason about systems with non-deterministic components.
- Solid grasp of ML and ML-Ops concepts — experiment tracking, model registries/deployment, and the ability to reason about systems with non-deterministic components.
- Fluency in a high level programming language, preferably Python.
- A solid understanding of lower level programming languages such as C++ and Rust.
- A strong engineering profile paired with a general scientific understanding (e.g. ML, optimization, control, or the physical sciences), so you can grow alongside our rapidly changing priorities and quickly go deep in unfamiliar domains.
- Natural curiosity; desire to learn, go deep and problem-solve in new domains.
- Excited to see the real world impact of your work; celebrate the success of your customers as your own.
- Exceptional organizational and communications skills.
- Alignment with Phaidra’s values: transparency, collaboration, operational excellence, ownership, empathy.
Preferred Qualifications
- Understanding of industrial heating and cooling processes and their applications within manufacturing or data center environments.
- Previous research experience in the field of ML or AI or MLOps experience.
- Experience with Ray for distributed computing and orchestrating multi-node GPU workloads.
- Exposure to reinforcement learning, simulation, and control systems.
- A general scientific or physical-sciences foundation that helps you collaborate closely with researchers.
Skills & Technologies
KubernetesGCPMachine LearningPythonRustGoPyTorchDocker
About the Company
Phaidra
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Job Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
£126,289 – £173,648
Location
US
Work Mode
Remote
Posted
2 days ago
Visa Sponsorship
Available
Country
US