Senior ML Platform Backend Engineer, Nightfall AI
Cloud-native data protection platform
Open for applications
Cloud-native data protection platform
101-200 employees
Open for applications
101-200 employees
Company mission
To empower enterprises big and small to navigate the digital world with confidence, while ensuring the security and privacy of their sensitive data.
Role
Who you are
- Minimum 5+ years of hands-on technical development experience
- Minimum 3+ years of experience mentoring and leading engineering teams
- Experience programming in Python, Go, Java, C++ or related language
- Experience designing and building low latency and high throughput systems based on highly scalable microservices-based architectures
- A foundational understanding of multi-threaded programming, concurrency primitives, and data structures using Python, Go or other frameworks
- Expertise in deploying machine models for inferencing in real-time production environments using a variety of Deep Learning frameworks such as PyTorch, TorchScript or Tensorflow, and the ability to solve complex, cross-language, performance and scalability issues associated with them
- BS/MS in Computer Science or a related technical field
Desirable
- Experience working in high growth venture-backed startups
- Blog, teach, mentor, or help others learn outside of your day to day responsibilities
- Experience training and deploying NLP based machine models or LLMs is a big plus
- Familiarity with AWS and managed infrastructure
- Familiarity with Docker, Kubernetes, Kafka, gRPC, Redis, KV-stores
What the job involves
- As a senior, hands-on, technical engineer in the Engineering organization, you will drive execution, provide solid technical expertise, raise the engineering bar of the team, and contribute towards shaping the long-term architecture of the platform
- Drive great execution, work with the team to set clear goals, and deliver against them
- Hands-on, technical design and coding
- Help shape the long-term architecture of the platform keeping scalability and reliability into account
- Help to recruit, inspire a high performing and creative engineering team
- Implement best of practices in a fast-paced engineering environment
- Champion engineering excellence and culture, establish metrics for regular improvement
Otta's take
Theo Margolius
COO of Otta
Nightfall AI is tackling security challenges posed by the adoption of generative AI and technologies like GPT-4o. Businesses adopting these powerful AI models face extended concerns over sensitive data exposure, prompt injection attacks and model abuse.
Nightfall AI's firewall for I is a robust client wrapper safeguarding GENAI applications and data pipeline. it ensures security by proactively scanning and removing sensitive information like PII, PCI, PHI, and proprietary secrets. Additionally, it defends against prompt injection attacks, ensuring data integrity across diverse AI inputs.
With its AI-native detection engine and advanced DLP models, Nightfall proactively addresses future challenges in evolving AI technologies. By integrating into workflows, Nightfall enables organisations to deploy GenAI applications securely, ensuring compliance and driving innovation for enhanced customer experiences.
Insights
Company
Funding (2 rounds)
Aug 2022
$40m
SERIES B
Nov 2019
$20.3m
SERIES A
Total funding: $60.3m
Company HQ
Financial District, San Francisco, CA
Articles
Founders
Isaac Madan
(CEO)Having studied at Stanford, Isaac co-founded Chalky in 2013 before working as a Correlation Ventures Tech Advisor and Analyst for Pejman Mar. They spent 2 years as a Venrock Investor before co-founding Nightfall AI in March 2018.
Rohan Sathe
(CTO)Rohan started their career as a Voxer Software Engineer before being a Founding Engineer of UberEats, where they worked until 2017. In March 2018, they co-founded Nightfall AI with Isaac, serving as CTO.
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