Software Engineer (AI Core)

Who You Are

We are looking for a driven Software Engineer to be a part of our growing AI Core team.

You are bold and creative, and have deep empathy for customers and users. 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.

You are curious and like to understand technologies and their tradeoffs in depth - contributing as a hands-on engineer to the team and support peers as required. You already have accumulated insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.

You will design, implement and extend significant parts of the production AI algorithms and code base, taking opportunity to make an immediate impact with your work and guide the product and team as we grow.

We are seeking a team member located within one of the following areas: USA, Canada, the UK, Ireland, Norway, Spain, Italy, or Portugal. 

• In the United States, we accept applicants located in the following states: California, Colorado, Connecticut, Georgia, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington. 
• In Canada, we accept applicants located in the following provinces: Ontario, British Columbia, and Alberta.

Responsibilities

The AI Core team you are joining owns our production AI code, including machine learning, search and reinforcement learning agents, as well the configs and Domain Specific Language (DSL) to map customer problems to these systems. The team collaborates closely with our AI Services team which owns the production services hosting AI agents, their training and inference. Furthermore you will work with Research and domain experts for industrial control systems to design and implement novel solutions. You will join the existing AI Core team as an engineer working on ML, search algorithms, evaluation approaches, system modelling configs and adjacent topics.

As an organisation, we strongly believe in expertise across the stack. As such, you will have opportunities to contribute on a broad range of topics including Machine Learning, general Software Engineering, MLOps and DevOps.

In particular, you will:

• Design, implement and provide support on our AI agents which are providing autonomous control of industrial systems.
• Work as a hands-on engineer on ML models, search algorithms and adjacent software components to get them production ready, performant and easy to use by our AI Services team
• Contribute to the design and implementation of DSLs and specifications for configuring customer systems on our product, in alignment with internal domain expert requirements.
• Contribute to engineering excellence on software design, performance, integration, evaluation and instrumentation of the team's libraries
• Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.
• Perform DevOps duties of CI/CD, Release & Deployment management.
• Be a part of our global production on-call team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.
• Collaborate in cross-functional initiatives with engineers, product managers and TPMs across teams.

Onboarding

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 familiarise 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.
• You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.

In your first 60 days…

• You will get a solid understanding of what Phaidra does and how we do it.
• You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.
• You will complete the onboarding exercise and will be on your way to completing your first production task.

In your first 90 days…

• You will be fully integrated in the team and with team members across the company.
• You will have a more in-depth understanding of our system architecture and infrastructure.
• You will complete your first on-call experience helping monitor and improve our production environments.
• You will become an expert with our tooling.
• You will start to contribute to knowledge sharing throughout Phaidra and the team.

Key Qualifications

• 2+ years of work experience.
• Bachelors or Masters in Computer Science, or equivalent experience.
• Experience with Machine Learning, ideally Deep Learning
• Expertise with efficient algorithms and data structures, e.g. for search problems
• Expertise with production Software Engineering - fault tolerance, performance tuning, monitoring, and statistics/metrics collection.
• Very good knowledge of Python
• Ability to collaborate and communicate effectively in an all-remote setting
• Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.

Bonus

• Experience with Rust, C++ or other low level languages to implement highly efficient algorithms robustly
• Experience with constraint satisfaction problems
• Experience with Reinforcement Learning
• Familiarity with industrial control systems and track record of successful collaboration with relevant domain experts

Relevant Technologies from our Stack

• Python, Go
• PyTorch, PyTorch Lightning
• Ray.io, Prefect, mlflow
• REST & gRPC micro-services
• Docker, Kubernetes, Terraform & Kapitan
• GCP - GKE, PubSub, CloudSQL, BigTable, etc.
• Postgres, MongoDB, Parquet, etc.
• Grafana Cloud, Prometheus
• Poetry, Pants
• Gitlab CI, ArgoCD, Atlantis

General Interview Process

All of our interviews are held via Google Meet, and an active camera connection is required.

1. Meeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.

2. Hiring Manager interview (30 minutes): This is an introduction call with the hiring manager so that the candidate and the hiring manager can get to know each other better. It will mainly focus on your previous experience and technical background. This meeting is also meant to enable you to ask any questions about the team & role.

3. Technical Interview 1 (75 minutes): The purpose of this interview is to assess your skills in data structures, algorithms and problem solving. This interview will involve live coding exercises.

4. Technical Interview 2 (60 minutes): In this interview, we will discuss Machine Learning. You can expect to explain techniques you have worked with in detail, as well as covering related and adjacent topics. We will talk about algorithms and ML best practices.

5. Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.

Base Salary

• United States residents: $88,800-$160,800/year
• United Kingdom residents: £72,800-£109,200/year
• Canada residents: CA$108,000-CA$162,000/year
• Salary ranges for other countries (Italy, Spain, Portugal, Norway, Ireland) will vary based on the market rate for the location.

This position will also include equity. These are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.