Platform Engineer (Remote or Hybrid)
- その他
- Other places
- 06/28/2024
- -
At Fiddler AI, we recognize the profound impact of AI on human lives and strive to infuse trust into AI systems. With the rise of the internet, numerous issues such as spam, fraud, hate speech, and online abuse have eroded trust in AI. Fiddler AI enables organizations to address these challenges by developing trustworthy, transparent, and explainable AI solutions.
Partnering with AI-first organizations, Fiddler assists in creating a long-term framework for responsible AI practices, thereby building trust with users. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and enhance their AI solutions, identifying performance gaps, mitigating bias, and driving better outcomes. Our platform supports both engineering teams and business stakeholders in understanding the "why" and "how" behind model outcomes.
Fiddler AI was founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal, and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital.
Our team is driven to unlock the AI opaque box and enable society to harness the power of AI. Joining Fiddler AI means making a significant impact by reducing algorithmic bias and ensuring transparency and ethics in AI models across various industries.
As an early-stage startup, we are rapidly expanding our team of intelligent and empathetic individuals, including doers, thinkers, creators, and builders. With the fast pace of innovation in the AI and ML industry, learning opportunities are immense, offering you the chance to be a trailblazer.
Fiddler is recognized as a pioneer in AI Observability and has earned numerous accolades, including:
By joining our brilliant team, you will help pave the way in the AI Observability space.
As a Platform Engineer, you will work closely with Backend, Solutions Engineering, Customer Success, and Product teams to deliver best-in-class technical infrastructure supporting internal and external product delivery.
Professionalism/Personal Accountability, Collaboration and Teamwork, Communication, Flexibility and Adaptation to Change, Service to Customers and Clients.