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We are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. 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 - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of 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 have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.
The AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.
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:
In your first 30 days…
In your first 60 days…
In your first 90 days…
All of our interviews are held via Google Meet, and an active camera connection is required.
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.
Tech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.
ML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring
ML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.
Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.
Salary ranges for EU countries 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.
Full Time
$123k-148k (estimate)
04/10/2024
06/29/2024
phaidra.ai
Seattle, WA
<25
The job skills required for Staff Software Engineer (MLOps, AI Platform) include API, Python, Agile, Futures, DevOps, Software Engineering, etc. Having related job skills and expertise will give you an advantage when applying to be a Staff Software Engineer (MLOps, AI Platform). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Staff Software Engineer (MLOps, AI Platform). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Staff Software Engineer (MLOps, AI Platform) positions, which can be used as a reference in future career path planning. As a Staff Software Engineer (MLOps, AI Platform), it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Staff Software Engineer (MLOps, AI Platform). You can explore the career advancement for a Staff Software Engineer (MLOps, AI Platform) below and select your interested title to get hiring information.