Summary
Join Neptune on our ambitious journey to provide the most scalable experiment tracker for teams training and fine-tuning foundational models, including some of the world’s leading AI research labs. Be a part of a dynamic team that is passionate about driving the next wave of AI innovations.
Requirements
- Experience building advanced, scalable, extensible, and automated ML/AI systems
- Deep knowledge about training and fine-tuning foundational models
- Familiarity with various Machine Learning and Data Science tools and proficiency in coding languages like Python
- Ability to engage effectively with both technical and non-technical stakeholders
Responsibilities
- Lead the technical discovery process to align Neptune’s capabilities with the expectations and needs of AI/ML research teams
- Conduct product demos for teams involved in training and fine-tuning foundational models
- Lead architectural reviews and assessments to showcase Neptune’s compatibility and benefits
- Guide the smooth integration of Neptune into customers' existing LLMOps stacks
- Partner with Customer Success Managers to ensure successful onboarding and product adoption
- Maintain meaningful relationships with technical influencers and champions within AI research teams, both pre and post-sales
- Work closely with AI research teams to understand their needs and demonstrate how Neptune can meet and exceed their expectations
- Lead technical discussions and provide guidance on best practices for integrating and utilizing Neptune in their workflows
- Act as a peer for AI researchers and ML engineers using Neptune for training and fine-tuning models
- Assist teams in maximizing the benefits of Neptune, gathering feedback, and discussing solutions with the product team
Benefits
- 100% remote work with an office in Warsaw available and flexible working hours
- Participate in the Employee Stock Option Plan and be part of our growth journey
- 20 paid service-free days per year
- Space to take action, bring your ideas to life, and make a real impact
- Co-financing of private medical care and Multisport card
- Regular team building events
- Free lunch when you’re at the office