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://buff.ly/3ObmonT

neptune.ai

Frontend Engineer

• Leading building larger, strategic features of 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, actively working with others at Neptune – helping to design new features, defining our web UI application’s architecture, driving the agenda – actively setting priorities of technical initiatives, frequently by example implementing more complex ones (this is a hands-on role)

Staff Frontend Software Engineer

Backend Engineer

We are on the lookout for an experienced and ambitious Staff Backend Software Engineer . In this role you will use your skills and knowledge to help us set technical direction and develop our distributed system at scale effectively. We are looking for a self-driven and proactive specialist who has worked on bigger production systems and is able to use this experience to influence development. At Neptune, we have a quite ambitious goal of becoming an MLOps standard for data scientists worldwide. Our platform is a metadata repository built for research and production teams that run multiple ML experiments. 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), 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?

Staff Backend Software Engineer

Technical Writer

• Technical Writer role within the Technical Communication team
• Impact user experience by developing and contributing to product documentation
• Chance to talk with technical people in the machine learning field
• Ownership of multiple docs sub-areas
• Developer-focused, product-led, SaaS, series A startup
• Create, maintain, and improve product documentation
• Collaborate with designers, developers, product managers, and customer success
• Contribute user-facing content to API and UI
• Help standardize structure, presentation, style, and content language
• Expectation of experience with API documentation
• Familiarity with Python
• Experience with docs-as-code
• Familiarity with Markown
• Excellent written and verbal English communication skills
• Nice to have: Knowledge of Data Science, Machine Learning, and/or DevOps
• Experience with various documentation technologies
• Programming or frontend development skills
• Graphical or video content creation skills
• Experience with software product testing
• Educational background in English, Technical Communication, Computer Science, or Data Science

Solutions Engineer

• Part of the Sales & Customer Success team
• Critical technical liaison for prospects and customers
• Articulating technical benefits of the platform
• Sketching out workflows and sharing code snippets
• Understand technical needs and showcase how Neptune can address them
• Smooth integration of Neptune into existing MLOps infrastructure
• Ensure product adoption and successful onboarding of enterprise customers
• Maintain relationships with technical influencers and champions
• Influence Neptune's evolution in response to MLOps requirements
• Provide insights to align Product & Engineering team with evolving needs of ML teams

ML Solution Architect

• Building an application that is:
   - Scalable: we aim to be the standard for data scientists and ML engineers around the world – there’s 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; 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 application’s architecture
• Implementing new features and improving the existing ones

Senior Backend Software Engineer

Full-stack Engineer

• Backend Software Engineer
• Knack for building scalable products
• Independence and space to test creative ideas
• Self-driven and proactive specialist
• MLOps standard for data scientists worldwide
• Lightweight experiment tracker for ML teams
• Extensible, flexible, and lightweight platform
• Various engineering work including REST, SQL, NoSQL
• Custom scalable time-series storage
• Tech stack: Java (+ Spring), Scala, Python, Kubernetes, Helm, containerization, Google Cloud, MySQL, Elasticsearch, Kafka, S3

Software Engineer

• 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

Frontend Software Engineer

• 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

Senior Frontend Software Engineer

Account Executive

• Achieving revenue targets, managing and growing the sales pipeline. • Owning the sales cycle end to end. • Turning inbound and outbound leads into happy Neptune users and customers. • Cooperating with the CS team, growing existing accounts. • Managing, tracking, and reporting on all activities and results using Hubspot. • Documenting customer information, buying criteria, process, and next steps to ensure pipeline accuracy. • Building a compelling messaging on the value Neptune brings to an organization. • Collaborating with product, marketing, and engineering teams to continuously improve customer-facing efforts.

Engineering Manager

• Guide our software engineering team
• Ensure smooth collaboration and create a welcoming atmosphere
• Support the team in making well-informed technical decisions
• Manage a team of about ten software engineers
• Oversee, support, and help to improve delivery workflow
• Help team members grow, stay motivated, and solve potential problems
• Ensure effective cooperation with the Product Team
• Support Tech Leads in making informed technical decisions
• Take part in hiring new people for the team

Remote Jobs at neptune.ai

neptune.ai

Staff Frontend Software Engineer

neptune.ai

Staff Backend Software Engineer

neptune.ai

Technical Writer

neptune.ai

ML Solution Architect

neptune.ai

Senior Backend Software Engineer

neptune.ai

Software Engineer

neptune.ai

Frontend Software Engineer

neptune.ai

Senior Frontend Software Engineer

neptune.ai

Account Executive

neptune.ai