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Experienced Full Stack Developer with a Deep Learning Focus

Artificial Intelligencepowerhouse, Fireflies.ai, functions as a reliable companion in meetings, boasting over 20 million users within 500,000 organizations spanning from agile startups to esteemed Fortune 500 corporations, notably in sectors such as sales and projects.

A seasoned expert in Full Stack coding with a specialization in Deep Learning.
A seasoned expert in Full Stack coding with a specialization in Deep Learning.

Experienced Full Stack Developer with a Deep Learning Focus

Fireflies.ai, a leading AI company specializing in meeting transcription and conversation intelligence, is on the hunt for a seasoned Deep Learning Engineer to join their team. Although the specific role at Fireflies.ai was not explicitly detailed in the search results, it can be inferred that the position involves designing, developing, and optimizing AI models and machine learning pipelines focused on speech recognition, natural language processing, and generative AI.

Key Responsibilities

As a Deep Learning Engineer at Fireflies.ai, you will be expected to build scalable ML systems, improve model accuracy, integrate AI services with products, and collaborate across teams to deploy AI-powered features. Your role will likely require expertise in deep learning frameworks such as PyTorch, CUDA, TensorRT, and Python, and experience with various generative AI architectures, including diffusion models, transformers, and GANs.

Qualifications

To be considered for this role, you should have a Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent industry experience. You should also have extensive experience (typically 5-7+ years) with machine learning and deep learning model development and deployment at production scale.

Perks and Benefits

Fireflies.ai offers a variety of perks to its employees, including competitive compensation, tech reimbursements, paid time off, a "no boss" culture, and international offsites. The company's team works remotely and offers flexible working hours to fit lifestyles.

Backing and Recognition

Fireflies.ai has received backing from top-tier investors like Canaan, Khosla Ventures, and angels from Slack, Facebook, Dropbox, Amazon, and Salesforce, totalling $19 million. The company has also been recognised as a leading AI teammate for meetings, used by over 20 million users across more than 500,000 organizations worldwide.

Diversity and Inclusion

Fireflies.ai is an equal opportunity employer, with a diverse team spanning 20+ countries and every timezone. The company values overcommunication, candid feedback, and a results-driven culture.

The Team and Technology

Fireflies.ai's team works with technologies such as Node.js, MongoDB, Redis, Elasticsearch, Kubernetes, Docker, GCP, Terraform, React, OpenAI, and Anthropic. Experience with advanced RAG systems like GraphRAG or LightRAG is a nice-to-have for the Deep Learning Engineer position at Fireflies.ai.

The Ideal Candidate

Fireflies.ai values candidates who are great communicators and culture maintainers, data-driven and customer-focused, value fast & incremental engineering cycles, and maintain design excellence and minimize complexity. Familiarity with Turbopuffer or other modern vector DBs is a nice-to-have for the Deep Learning Engineer position at Fireflies.ai. Exposure to multi-context prompting or similar research-level architectures is a desirable trait for the role.

Achievements and Future

Fireflies.ai has achieved unicorn status with a valuation exceeding $1 billion. The company was recently named the 6th most popular AI platform, joining the ranks of OpenAI, Midjourney, and Anthropic. Fireflies.ai values candidates who have the raw intellectual horsepower, can learn quickly, contribute to open source, have experience working on apps that have supported 10,000+ concurrent users, can design and build scalable infrastructure, understand sound architecture principles, and have meaningful time spent as a Senior Engineer or higher.

In conclusion, Fireflies.ai is revolutionizing the way teams interact with AI in their daily work, and the Deep Learning Engineer role is an excellent opportunity for someone with a passion for AI and machine learning to contribute to this exciting venture.

  1. As a Deep Learning Engineer at Fireflies.ai, you will utilize your expertise in deep learning frameworks such as PyTorch, CUDA, TensorRT, and Python to design, develop, and optimize AI models and machine learning pipelines focused on speech recognition, natural language processing, and generative AI.
  2. Your role as a Deep Learning Engineer at Fireflies.ai may involve collaborating with the team on technologies like OpenAI and Anthropic, and candidate with exposure to multi-context prompting or similar research-level architectures would be a desirable fit.

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