Senior Frontend Software Engineer

Posted 5 Days Ago
Remote
5-7 Years Experience
Machine Learning • Software
The Role
Looking for a Senior Frontend Software Engineer to build scalable and maintainable modern web applications for Neptune, aiming to be the MLOps standard for data scientists worldwide. Responsibilities include building scalable, portable, and flexible web UI applications, cooperating with other engineers, choosing tools, defining architecture, and implementing new features. Expectations include a solid background in Computer Science, 5+ years experience with TypeScript and React, excellent code review skills, hunger for knowledge, and optional knowledge of Machine Learning concepts.
Summary Generated by Built In

We are on the lookout for a Senior Frontend Software Engineer with a knack for building scalable and maintainable modern web applications. There is a lot of independence and space to test your creative ideas in our environment, so we are looking for a self-driven and proactive specialist who is not afraid to take ownership.

At Neptune, we have a quite ambitious goal of becoming an MLOps standard for data scientists worldwide. Our platform is a lightweight experiment tracker for ML teams that struggle with debugging and reproducing experiments, sharing results, and messy model handover.

 Don't worry, you don't need to have ML skills. Our customers handle that part. 

We design Neptune to be extensible, flexible, and lightweight to ensure it fits any workflow and keeps up with this fast-paced field. Some of the things we do are pretty run-of-the-mill engineering work (REST, SQL, NoSQL + TypeScript, React), but often, we stumble upon a bigger challenge! After all, how many companies have implemented a custom scalable time-series storage moving data between various underlying storages, with the possibility to view and filter all of this in the UI in real-time?


Our tech stack:

  • JavaScript / TypeScript
  • React (+ Redux)
  • backend in Java (+ Spring), Scala, Kubernetes, Helm, containerization
  • Google Cloud

 

Responsibilities:

In this role you will be:

  • building the web UI application that is:
    • Scalable: we aim to be the standard for data scientists and ML engineers around the world – there are quite a few of them;
    • Portable: we offer both SaaS and on-prem installations. There are times when we need to be very lightweight;
    • Flexible: Machine Learning is a very fast-paced field; we often need to adapt;
  • cooperating with other Frontend Software Engineers helping them move forward when needed,
  • choosing the tools we use. We’ll lean on your knowledge and expertise to select the best technologies and tools for a given task;
  • participating in defining our web UI application’s architecture;
  • implementing new features and improving the existing ones.

 

Our expectations:

  • Solid background in Computer Science;
  • 5+ years of experience in building web UI applications with TypeScript and React;
  • You perform an excellent code review;
  • You’re always hungry for more knowledge – learning new things is natural for you; you do it constantly;
  • Knowledge of Machine Learning concepts would be awesome – but is not a must.


We offer:

  • Flexibility: 100% remote work with an office in Warsaw available and flexible working hours;
  • Share in our success: Participate in Employee Stock Option Plan and be part of our growth journey;
  • Time off: 20 paid service-free days per year;
  • Ownership and impact: Space to take action, bring your ideas to life, and make a real impact;
  • Perks: Co-financing of private medical care and Multisport card, regular team building events, and free lunch when you’re at the office.

 Any questions?

Check our ultimate guide for candidates to neptune.ai Engineering team.

Don’t hesitate to contact our Talent Acquisition Partner, Karolina, and take a look at our About us page to get to know the story and faces behind Neptune.



 

Top Skills

JavaScript
React
Typescript
The Company
Palo Alto, California
73 Employees
On-site Workplace
Year Founded: 2017

What We Do

neptune.ai makes it easy to log, store, organize, compare, register & share 𝗮𝗹𝗹 𝘆𝗼𝘂𝗿 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹 𝗺𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗶𝗻 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗹𝗮𝗰𝗲. - Automate and standardize as your modeling team grows. - Collaborate on models and results with your team and across the org. - Use hosted, deploy on-premises or in a private cloud. Integrate with any MLOps stack. 𝗧𝗮𝗸𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝘁𝗼𝘂𝗿 𝗼𝗳 𝗮 𝗽𝘂𝗯𝗹𝗶𝗰 𝗻𝗲𝗽𝘁𝘂𝗻𝗲.𝗮𝗶 𝗽𝗿𝗼𝗷𝗲𝗰𝘁: https://bit.ly/3pSS1dZ

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