Benefits:

• Competitive compensation

• Flexible work hours

• Health, dental, and vision insurance

• Commuter benefits

• Flexible PTO + holidays

Education Requirements:

• Master's degree in a related technical field or Bachelor's degree from a top-tier university with relevant work experience

Experience Requirements:

• Previous academic or work experience in deep learning

Other Requirements:

• Demonstrates a growth mindset and a passion for solving challenging problems

• Possesses academic or previous work experience in deep learning and distributed training of LLMs, Generative Models, and Transformers

• Experience with Pytorch, Python, and C++

• Familiarity with Speech Synthesis

• Experience with Direct Preference Optimization (DPO) and/or Reinforcement Learning from Human Feedback (RLHF)

Responsibilities:

• Designing and building large-scale data pipelines

• Experimenting and improving our Voice LLMs architectures for better quality, expressiveness, and latency

• Enhancing inference infrastructure to reduce costs and latency

• Scaling and optimizing LLM distributed training infrastructure

Benefits:

• Competitive compensation and equity

• Flexible work hours

• Health, dental, and vision insurance

• Commuter benefits

• Flexible PTO + holidays

Experience Requirements:

• An autonomous and resourceful engineer with a proven track record in deep learning

Other Requirements:

• Demonstrates a growth mindset and a passion for solving challenging problems

• Possesses hands-on experience in deep learning and distributed training of LLMs, Generative Models, and Transformers

• Experience with Pytorch, Python, and C++

• Familiarity with Speech Synthesis

Responsibilities:

• Designing and building large-scale data pipelines

• Experimenting and improving our Voice LLMs architectures for better quality, expressiveness, and latency

• Enhancing inference infrastructure to reduce costs and latency

• Scaling and optimizing LLM distributed training infrastructure

Experience Requirements:

• Strong expertise in Node.js (backend) and React (frontend)

• Familiarity with LLM technologies

• Experience with Firebase

Other Requirements:

• A dense GitHub portfolio demonstrating consistent contributions over time

• Experience with audio data flow

• A passion for building prototypes and delivering fast solutions with high technical accuracy

• Ability to explain complex concepts without needing a whiteboard and articulate mental models clearly

• Strong problem-solving skills, resilience, and the ability to maintain focus under pressure

• Currently enrolled in school

Responsibilities:

• Prototype Development

• Contribute to a Creative Team

Benefits:

• Competitive compensation

• Equity

• Comprehensive benefits package

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field; MBA a plus

Experience Requirements:

• 5+ years of growth marketing or product experience, with developer-focused products

• Proven track record of driving user acquisition and revenue growth for technical products

• Experience with funnel optimization, A/B testing, and data-driven decision making

Other Requirements:

• Strong technical background

• Excellent analytical skills, proficiency with relevant tools (e.g., SQL, analytics platforms)

• Outstanding communication skills, able to bridge technical and business concepts

Responsibilities:

• Traffic Acquisition

• Onboarding Funnel Optimization

• Developer Success and Retention

• Conversion to Paid Plans

• Metrics and Analysis

Benefits:

• Competitive compensation, including equity

• Flexible working hours

• Comprehensive benefits package

Education Requirements:

• Recently completed a Bachelor’s degree in a technical field

Experience Requirements:

• Previous marketing social media experience

• Proven track record of growing followership

Other Requirements:

• Deeply technical background

• Immersed in the developer ecosystem

• Ability to build cool demos that leverage our technology

• Proven experience building a social media followership in a developer-centric field, preferably in AI

• Some experience in social media

• Strong familiarity with social media platforms, especially Discord and Reddit

• Passion for Technology

• Iterating Machine

Responsibilities:

• Community Engagement and Growth

• Market Sentiment Monitoring

• AI Agent Creation

• Content Creation

• Stay on the Pulse of Culture

Benefits:

• Competitive compensation

• Flexible working hours

• Comprehensive benefits including health, dental, vision, flexible PTO, and holidays

Experience Requirements:

• Proven experience building and scaling sales teams, preferably in a SaaS or AI-related environment

• Demonstrated success in developing and leading outbound sales strategies

• Strong understanding of inbound sales processes, prioritization, and optimization

Other Requirements:

• Hands-on leader with extensive experience in sales and sales management, particularly in startups

• High agency, proactive in taking initiative, understanding of how large companies buy, extensive knowledge of different sales methodologies

• Experience with cloud players and ecosystems like AWS, Salesforce, Twilio, and others

• Experience with commercial partnerships

• Exceptional leadership, communication, and team-building skills

• Data-driven approach with a proven ability to analyze metrics and refine strategies accordingly

• Ability to thrive in a fast-paced, high-growth startup environment

Responsibilities:

• Shape our sales strategy and marketing positioning

• Build, lead, and mentor a dynamic sales team focusing on high performance and growth

• Develop and implement an outbound sales strategy to drive new customer acquisition

• Refine inbound sales processes, ensuring efficient lead prioritization and follow-up

• Be a player-coach, stepping in to qualify and close high-priority deals

Benefits:

• Unlimited PTO

• Free lunch at the office

• Medical

• Dental

• Vision

Education Requirements:

• Masters in Computer Sciences preferred

Experience Requirements:

• 4-6 years of professional experience

Other Requirements:

• Self motivated, hard working and proactive

• High levels of operational process and task execution competence with organized and hands-on approach

• Detail oriented

Responsibilities:

• Integration of user-facing elements developed by a front-end developers with server side logic

• Build robust and scalable software in Ruby, Scala, and/or Java

• Design and create services and system architecture for your projects, and contribute and provide feedback to other team members

• Help improve our code quality through writing unit tests, automation and performing code reviews

• Building reusable code and libraries for future use

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 3+ years of experience in building scalable ML infrastructure from the ground up

Other Requirements:

• Familiar with Kubernetes and Python

• Familiar with Apache Kafka and Spark

Responsibilities:

• Building scalable ML infrastructure

• Managing and growing engineering team

Benefits:

• Equity

Education Requirements:

• Bachelor's degree

Experience Requirements:

• Experienced in flutter

• Adheres strictly to test-driven-development principles

Other Requirements:

• Familiar with Flutter and Python

Responsibilities:

• Implementing CHAI Web App

• Developing features for retention and monetization

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 6+ years of experience in backend engineering

Other Requirements:

• Familiar with Kubernetes and Python

Responsibilities:

• Building scalable infrastructure

• Managing and growing engineering team

Benefits:

• Equity

Experience Requirements:

• Track record of making money

Other Requirements:

• Goal-oriented

• Comfortable learning on the job

Responsibilities:

• Running, optimizing, and improving revenue generation strategy

Benefits:

• Equity

Experience Requirements:

• Established track-record of delivering results

• Deep understanding of the ML development cycle

Other Requirements:

• Proficient in Python, Tensorflow or PyTorch

• Goal-oriented

Responsibilities:

• Running, optimizing, and improving AI platform

• Improving platform-wide retention

Benefits:

• Equity

Experience Requirements:

• Experienced in scaling small teams

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Reporting to CEO

• Solving operational problems

• Running hiring processes

Benefits:

• Equity

Experience Requirements:

• Experienced in hiring great engineers

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Sourcing candidates

• Running hiring processes

Benefits:

• 100% covered premium health + dental insurance

• company offsite trips

• work-from-home stipend

• 401k

Education Requirements:

• Masters in ML (or equivalent domain experience)

Experience Requirements:

• Extensive experience building complex machine learning systems and have driven execution from ideation to production implementation

• Strong product sense

Other Requirements:

• You can take a high-level goal and achieve a shippable solution. You are able to draw from a toolkit of methods, and know when to prompt engineer with black box LLMs and when to finetune a custom model

• A Masters in ML (or equivalent domain experience) and 4+ years of work experience building ML systems directly powering customer experiences, or equivalent ML experience

Responsibilities:

• Tackle our hardest ML product challenges at the crux of unlocking truly agentic flows in recruiting, from prototyping and experimentation with LLMs and self-hosted models alike to incorporating and maintaining them in existing and new ML systems.

• Help shape our technical MLOps stack to meet our ML and product needs.

• Write production ready code with speed, cost, and usability in mind.

• Stay close to the ground and hands on keyboard. No task is too small, whether it’s fixing unit tests or curating datasets.

Experience Requirements:

• Experience with finetuning large language models

• 2+ years of experience working directly with large language models

• Deep knowledge of machine learning frameworks such as Pytorch and Deepspeed.

• Strong background in programming languages such as Python and C++

• Entrepreneurial spirit and willingness to adjust to dynamic customer needs

Other Requirements:

• Desire to grow quickly by going above and beyond expectations

Responsibilities:

• Design and run experiments on how to best finetune our in-house LLM models.

• Deploy these custom models end-to-end alongside our ML engineering team.

• Build new MLOps tools from 0 > 1 inside our existing platforms.

• Work closely with leadership and customers to understand large-scale recruiting and HR pain points, and develop state-of-art machine learning solutions for them.

• Write production ready code with speed, cost, and usability in mind

Benefits:

• Diverse medical, dental and vision options

• 401k matching program

• Unlimited paid time off

• Parental leave and flexibility for all parents and caregivers

• Support of country-specific visa needs for international employees living in the Bay Area

Experience Requirements:

• Experience building and deploying scalable machine learning models, particularly large language models (LLMs)

• Skilled in using and integrating ML frameworks and infrastructure into existing platforms, with a strong focus on PyTorch

• Developing applications and tools that leverage ML models to provide enhanced functionality in enterprise settings

• Proficiency in programming languages and tools such as Python, PyTorch, and FastAPI

• Familiar with backend systems, APIs, and databases

Responsibilities:

• Develop, deploy, and optimize ML models

• Ensure seamless integration with backend systems and APIs to deliver robust enterprise solutions

Benefits:

• Diverse medical, dental and vision options

• 401k matching program

• Unlimited paid time off

• Parental leave and flexibility for all parents and caregivers

• Support of country-specific visa needs for international employees living in the Bay Area

Experience Requirements:

• Diverse experiences building APIs and infrastructure for enterprise platforms

• Comfortable working in a fast-paced environment and refining high-level technical requirements into detailed specifications

• Experience with standard ML frameworks and infrastructure

• Experience using, deploying, and scaling LLMs

Responsibilities:

• Build and operate important components that power the platform

• Use a mix of systems, infrastructure, API, and data engineering