neptune.ai

Palo Alto, California, USA
73 Total Employees
Year Founded: 2017

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Jobs at neptune.ai

Search the 6 jobs at neptune.ai

Recently posted jobs

2 Days Ago
28 Locations
Remote
Machine Learning • Software
As a Staff Backend Software Engineer, you will contribute to architectural design and performance optimization while leading large engineering projects. Responsibilities include day-to-day development, code review, and proposing enhancements to improve product value.
7 Days Ago
28 Locations
Remote
Machine Learning • Software
As a Staff Site Reliability Engineer, you will optimize infrastructure, enhance scalability, manage automation workflows, ensure compliance with security standards, and collaborate cross-functionally. You will also participate in on-call rotations to resolve production incidents and maintain reliability in services.
Machine Learning • Software
The Principal Solutions Architect will engage with top research labs to enhance product adoption and maximize value through technical leadership. Responsibilities include leading Proof of Concepts, conducting technical demos, documenting best practices, and collaborating to address customer challenges. The role requires hands-on expertise in AI/ML frameworks while identifying upsell opportunities.
16 Days Ago
28 Locations
Remote
Machine Learning • Software
As a Staff Frontend Software Engineer, you will lead architectural design and development of key web UI features while collaborating with a small engineering team. Your role involves driving solutions for complex problems, participating in code reviews, and constantly seeking ways to improve product and team processes.
Machine Learning • Software
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
17 Days Ago
28 Locations
Remote
Machine Learning • Software
The Technical Product Manager will engage with AI/ML researchers to translate their workflow needs into product specifications. This role requires collaboration with UX and engineering teams, driving discussions with stakeholders to balance technical feasibility with user requirements, and leading cross-functional teams to deliver impactful AI/ML features.