Software Engineer (Machine Learning, AI Platform)

Remote

Applications have closed

Phaidra

Phaidra is an artificial intelligence (AI) Co-Pilot for mission critical operations teams. Learn how AI controls deployed for the industrial sector help operators reduce risk, improve energy efficiency and meet challenging sustainability goals.

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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've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:

  • The intelligence is provided by reinforcement learning algorithms, which convert 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.

Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.

Phaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Netherlands, Germany, Argentina, and India.

We are looking for a driven Software Engineer in Machine Learning to be a part of our growing AI Platform Engineering team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.

The Platform Engineering team at Phaidra is responsible for building the core platform that powers data ingestion & processing, feature stores, model training & inference and decision making in our products.

Responsibilities

As an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps. In particular, you will -

  • Build components for the AI platform -
    • Distributed model training and evaluation
    • Distributed inference and realtime decision making for autonomous control of industrial systems.
    • Model observability and model performance monitoring.
  • Build components for the data platform -
    • Distributed data processing pipelines and scalable feature store.
    • Data health monitoring and alerts.
  • Incorporate Reinforcement Learning techniques in the platform that are developed by our AI research engineers.
  • Make the platform deployable in cloud, hybrid and on-prem environments.
  • Perform DevOps duties of CI/CD, Release & Deployment management.

In your first 30 days...

  • You will be immersed in an onboarding program that introduces you to Phaidra and our product.
  • You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.
  • You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.
  • You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.
  • You will learn about how we use agile and be able to navigate our sprint boards and backlogs.
  • You will learn about various team standards and development & release processes.
  • You will start to learn about our system architecture and infrastructure.

By your first 60 days...

  • You will have a solid understanding of what Phaidra does and how we do it.
  • You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.
  • You will have completed the onboarding exercise and will be on your way to completing your first production task.
  • You will have started initial discussions with engineering, product & solutions teams to get an understanding of Phaidra’s data requirements.

By your first 90 days...

  • You will have been fully integrated in the team and with team members across the company.
  • You will get a more in-depth understanding of our system architecture and infrastructure.
  • You will have completed your first on-call experience helping monitor and improve our production environments.
  • You will have become an expert with our tooling.
  • You will have understood the data requirements at Phaidra and formulated roadmaps and strategies for execution.
  • You will have started to contribute to knowledge sharing throughout Phaidra.

Key Qualifications

  • 2+ years of work experience.
  • Bachelors or Masters in Computer Science, or equivalent experience.
  • Strong grasp of Machine Learning (especially Deep Learning) fundamentals.
  • Experience with Software Engineering - relational and non-relational data modeling, REST APIs or RPCs, micro-services, event driven systems, etc.
  • Share our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.

Bonus

  • Strong expertise in Python
  • Experience with MLOps - feature engineering, distributed model training, serving & inference, etc.
  • Exposure to Reinforcement Learning is a plus
  • Experience with building applications that can be deployed in cloud, hybrid or on-prem environments.

Our Stack

  • Python, JavaScript/TypeScript
  • PyTorch
  • React
  • Docker, Kubernetes, Terraform & Kapitan
  • ArgoCD, Atlantis, Vercel
  • GCP
  • Kubeflow & Ray.io
  • PubSub, CloudSQL, BigTable, Postgres
  • REST & gRPC micro-services

Base Salary Range

India residents: 16L to 18L
US residents: US$121,000 - US$190,000
Canada residents: CA$95,000 - CA$172,000
France/Germany residents: €80,000 - €120,000
This role will also include equity.

Benefits & Perks

  • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.
  • Phaidra is a 100% remote company with a digital nomad policy.
  • Competitive compensation & equity with an early exercise option.
  • Outsized responsibilities & professional development.
  • Training is foundational; functional, customer immersion, and development training.
  • Medical, dental, and vision insurance (exact benefits vary by region).
  • Unlimited paid time off, with a minimum of 20 days off per year requirement.
  • Paid parental leave (exact benefits vary by region).
  • Home office setup stipend and company MacBook.
  • Monthly internet reimbursement.

On being Remote

We are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.

Equal Opportunity Employment

Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai.

Notice to Job Applicants – Collection of Personal Information
(For California Residents Only)

The California Consumer Privacy Act (“CCPA”) requires us to inform job applicants about the categories of personal information we may collect and the reasons for collecting it. This Notice only applies to California residents.

The purpose of collecting personal information about you is to inform us during your job application process. Through the course of your application, we may collect some or all of the following categories of personal information about you. 

  • Identifiers such as your legal name, aliases, mailing address, unique personal identifiers, email address, and other demographic information.
  • Electronic activity information such as information submitted through our job application process including professional social media profiles and other related information you may provide.
  • Geolocation data such as where you are accessing the website from.
  • Professional and employment-related information such as your job employment history, your education, your references, and other employment-related information provided during the hiring process.
  • Pre-employment test results including background checks.
  • Voluntary self-disclosure information regarding minority, veteran, or disability status.

The company collects this information to hire the best qualified applicants and to comply with applicable employment laws. 

For questions or concerns about our privacy practices, please contact data-compliance@phaidra.ai.

 

#LI-Remote

Tags: Agile APIs Architecture Bigtable CI/CD Computer Science Deep Learning DevOps Distributed Systems Docker Engineering Feature engineering GCP GitLab Industrial JavaScript KPIs Kubeflow Kubernetes Machine Learning MLOps Model training Pipelines PostgreSQL Privacy Python PyTorch React Research Terraform TypeScript

Perks/benefits: Career development Competitive pay Equity Gear Health care Home office stipend Insurance Medical leave Parental leave Salary bonus Startup environment Team events Transparency Unlimited paid time off

Region: Remote/Anywhere
Job stats:  50  13  1

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