Education Requirements:

• Graduate degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science

Experience Requirements:

• 7+ years of experience as a Data Scientist or Machine Learning Solutions Architect

• 5+ years of proficiency in Python for data analysis, model training, evaluation, deployment, and optimization

• 1+ year of experience with technologies related to large language models

Other Requirements:

• Experience with open source frameworks like LangChain and LlamaIndex

• Knowledge of prompt engineering and state-of-the art model architectures

• Familiarity with AWS, Azure & Google services and the cloud computing landscape

• Knowledge of model deployment technologies such as TorchServe, ONNX, Triton, vLLM

• Familiarity with big data technologies such as Hadoop, Spark, and MongoDB

Responsibilities:

• Help lead the data science team fostering innovation and excellence

• Develop technical assets and IP across automated pentesting and real-time monitoring

• Engage with product owners to influence product direction

• Track and analyze emerging threats to AI systems

• Develop and implement detection and mitigation strategies for identified threats

Benefits:

• Competitive salary and equity package

• Comprehensive medical, dental, and vision insurance

• Flexible work hours and remote-friendly policies

• State-of-the-art tools and equipment

• Professional development through technical talks, conferences, and leadership opportunities

Experience Requirements:

• 6+ years of Senior Software experience designing, building, and maintaining software systems

• Proven experience building and managing complex distributed systems in production

• Hands-on experience with Kubernetes and the Cloud Native ecosystem (e.g., Helm, Istio, Prometheus)

Other Requirements:

• Proficiency in modern Python and at least one strongly typed language (Go, Java, C#, or C++)

• Strong experience with Infrastructure as Code (IaC) tools like Terraform, AWS CloudFormation, or Pulumi

• Demonstrated experience operating production systems with SLAs

• Expertise in setting up robust monitoring and alerting systems

• Passion for working in an agile, fast-paced startup environment

Responsibilities:

• Build and Maintain Software Engineering Practices and pipelines

• Collaborate across Product Managers, UX Designers, and Data Scientists

• Architect and manage cloud infrastructure using Infrastructure as Code (IaC) tools

• Monitor and optimize the performance, reliability, and scalability of production systems

• Build and manage Kubernetes clusters and leverage the cloud-native ecosystem

Benefits:

• equity

• benefits

Education Requirements:

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Biophysics, or related field, or equivalent experience

Experience Requirements:

• Expertise in RNA biology and biochemistry, RNA-protein interactions, and RNA structure

• Proficiency in Python for data curation and analysis at scale

• Strong programming background, familiarity with Unix

• Strong foundation in statistics and experience with conducting statistical analysis of large-scale datasets

Other Requirements:

• Authorized to work lawfully in the US

• Open to working in-person at South San Francisco several days a week

Responsibilities:

• Provide RNA biology and RNA structure expertise on the ML team

• Enable and apply RNA-structure platform to prioritize RNA targets

• Generate insights from datasets on RNA structures and small molecule interactions

• Curate RNA datasets for training of ML models

• Inform scientific questions and ML model development

Education Requirements:

• Bachelor’s degree

• MBA preferred but not required

Experience Requirements:

• 5+ years of experience in tech, VC, consulting, finance, or operations in a high growth startup environment

Other Requirements:

• Scrappy, get shit done mentality

• Willingness to coach and be coached

Responsibilities:

• Commercial Strategy Development

• Operational Excellence and Performance Monitoring

• Team Building and Management

• Stakeholder Management and Fundraising

• Oversee project budgets and finances

Education Requirements:

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Experience with scalable training-inference pipelines

• Familiarity with AWS, GCP, Azure, etc.

• Proficiency in Python, Bash, or PowerShell

• Proficiency in frameworks like PyTorch or TensorFlow

• Experience with Docker and Kubernetes

Responsibilities:

• GPU Programming

• Cloud Supercomputing

• Host Management

Education Requirements:

• Bachelor’s degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Willingness to dive into large ML codebases for debugging

• Demonstrated experience with deep learning and transformer models

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Collaborate with researchers and scientists to implement and scale POC models

• Rapidly implement state-of-the-art methods from literature

• Train large-scale foundation models

• Build distributed training systems on HPC clusters

• Debug and customize third-party source code

Education Requirements:

• PhD degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 5+ years of experience in relevant jobs

• Proven track record of successful machine learning research projects

Other Requirements:

• First-author publications at peer-reviewed AI conferences

• Strong scientific understanding of generative AI

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Deep understanding of machine learning research

• Manage and execute a research agenda

• Developing proof-of-concept models

• Preparation and writing of technical and scientific papers

Benefits:

• Base salary $200K – $400K

• Significant equity

• World-class compensation

• Exceptional growth

• Expand your network

Experience Requirements:

• 3+ years of experience working a technical role

Other Requirements:

• High drive, autonomy and bias for action

• Strong communication skills

• Willingness to travel (approximately 25%)

Responsibilities:

• Architect and deploy at scale

• Evolve the core product to make the customer successful

• Own the customer relationships

• Guide the direction of the product based on what you learn in the field

• Build the playbook

Benefits:

• OTE $280K – $400K

• Offers Equity

• Offers Commission

• Uncapped commission

• Work with engineers from Uber, Google, etc.

Experience Requirements:

• 5+ years of experience in an account executive or sales engineer role selling to a technical buyer

• Top performance at prior roles (presidents club, sales club)

Other Requirements:

• Excel at selling to deeply technical buyers

• Willingness to travel to visit customers on-site

Responsibilities:

• First sales hire and join a team of ten

• Partner with world-class engineers on each deal

• Manage ACVs ranging from $100k to $1m+

• Handle inbound leads and scale marketing channels

Benefits:

• Paid in-person work trial

Experience Requirements:

• Strong frontend development skills (React)

• Experience with fullstack development including API design

• Proficiency with backend development (Next.js, Node, Typescript)

• Interacting with databases (Postgres, Redis)

• Experience crafting user experiences

Other Requirements:

• Excellent communication skills

• Excitement about AI agents

• Ability to work in-person 5 days a week in San Francisco

• Interest in how agents and LLMs work under the hood

Responsibilities:

• Build, design and define how developers interface with agent framework

• Build visual interfaces for innovative agent functionality

• Interface with customers and open source community

• Develop application SDKs for full-stack agent apps

• Develop Cloud Platform for deployment and monitoring

Benefits:

• Paid in-person work trial

Experience Requirements:

• Strong proficiency with Python

• Understanding of architecting services for security, reliability, and performance

• Ability to build scaleable backend services

• Strong understanding of SQL databases (Postgres)

• Familiarity with AI stack tooling (vLLM, Ollama, OpenAI APIs)

Other Requirements:

• Ability to work in-person 5 days a week in San Francisco

• Proficiency with TypeScript and React is a bonus

Responsibilities:

• Develop Letta's OSS agents framework and cloud service

• Design scaleable & resilient backend services and APIs

• Work with researchers to support bleeding-edge agent architectures

• Define developer APIs for agents

• Lead development of company's OSS stack

Benefits:

• Paid in-person work trial

Experience Requirements:

• Proficiency in Python and deep learning frameworks (PyTorch)

• Expertise in post-training techniques (SFT, RL, reward models)

• Proven track record of impactful research

• Real-world impact beyond pure academic work

Other Requirements:

• Ability to balance execution speed with empirical rigor

• Ability to work in-person 5 days a week in San Francisco

Responsibilities:

• Training models for better agentic tool-use

• Designing mechanisms for continuous model weight updates

• Designing and running experiments for data mixtures and models

• Building infrastructure for generating synthetic data at scale

• Building challenging evals for measuring agentic capabilities

Benefits:

• Paid in-person work trial

Experience Requirements:

• Expertise in machine learning, LLMs, and continual learning

• Familiarity with agent frameworks and prompt optimization

• Track record of impactful research

• Real-world impact beyond pure academic work

Other Requirements:

• Ability to balance execution speed with empirical rigor

• Ability to work in-person 5 days a week in San Francisco

Responsibilities:

• Developing prompt optimization and system prompt learning methods

• Developing methods for agents to generate and test hypotheses

• Improving efficiency of learning from long-running agentic tasks

• Designing and running experiments to measure self-improvement

• Open publishing of research through papers and code

Benefits:

• Stock options

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Education Requirements:

• BS in Computer Science or equivalent

Experience Requirements:

• 3+ years of software engineering experience

• 2+ years of experience programming in Python

• 2+ years of experience building data systems on cloud service providers

• 2+ years of experience working with relational databases (e.g. PostgreSQL)

Other Requirements:

• Experience with Google Cloud

• Experience with containerization (Kubernetes)

• Experience with CI/CD

• Familiarity with vector and raster data formats

Responsibilities:

• Develop pipelines to ingest, process, and publish geospatial and proprietary data

• Develop internal tools for dataset creation and data management

• Build and manage large-scale cloud pipelines for image and structured data

• Optimize data systems across in-house and cloud platforms

• Scale AI detection by monitoring system reliability and platform costs

Benefits:

• Stock options

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Education Requirements:

• MS in Computer Science

• PhD in Computer Science

Experience Requirements:

• 7+ years of industry experience (with MS) or 5+ years (with PhD)

• 3+ years of experience in geometry and imaging aspects of computer vision

• 3+ years of experience programming in Python

Other Requirements:

• Strong problem solving skills

• Experience with geospatial data / GIS systems

• Experience in deep learning aspects of computer vision

• Experience working with cloud systems

Responsibilities:

• Develop systems at the intersection of terrestrial camera and geospatial data

• Own software algorithms for location estimation and panorama stitching

• Drive improvements in distance estimates and fire detection models

• Optimize camera capture systems for fire detection

• Implement algorithms for deployment in production systems

Benefits:

• Stock options

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Experience Requirements:

• 5+ years of hands-on experience as a backend Software Engineer

• 3+ years of professional experience in a fast-paced SaaS environment

• Experience with server-side Java software development (Spring)

• Proficiency with SQL and RDBMS (ideally PostgreSQL)

Other Requirements:

• Experience with Python

• Familiarity with Docker and Kubernetes

• Familiarity with caching (Redis, Memcached)

• Familiarity with DevOps tools (Git, CI/CD)

• Preference for Pacific / Mountain time zones

Responsibilities:

• Build highly scalable solutions for end users

• Develop new features, tools, frameworks, and workflows

• Drive new projects from conceptualization to deployment

• Ensure application performance, uptime, and scale

• Participate in on-call rotation and create run-books

Benefits:

• Stock options

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Experience Requirements:

• 5-10 years of Frontend and/or Mobile Engineer Experience

• Technical proficiency in HTML, CSS, Typescript, React, React Native

• Experience with state management (Redux, Zustand, Recoil)

Other Requirements:

• Expertise in Design Systems (Material Design, Material-UI)

• Preference for MST or PST time zone

• Experience with Mapbox

• Experience with HTML Canvas

Responsibilities:

• Spearhead development of a mobile application for wildfire detection

• Lead development of new features and maintain existing codebase

• Conduct thorough code reviews and maintain code quality

• Collaborate with QA, Product, and Backend teams

• Evaluate and adopt new technologies and tools

Benefits:

• Offers Equity

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Education Requirements:

• Bachelor’s degree or equivalent

Experience Requirements:

• 2 - 6 years of experience in strategy and operations, consulting or similar fields

• Prior experience in an early stage or growth stage venture-backed start-up preferred

Other Requirements:

• Exceptional written and verbal communication

• Skilled at synthesizing complexity

• Discretion and professionalism

Responsibilities:

• Support the CEO in executive reviews and managing priorities

• Prepare materials, agendas, and briefing documents for executive meetings

• Drive decision speed by turning ambiguous topics into recommendations

• Track commitments and drive accountability across owners

• Draft communications such as speeches, presentations, and emails for the CEO

Benefits:

• Equity

• Bonus

• Medical coverage

• Dental coverage

• Vision coverage

Experience Requirements:

• 10+ years of marketing experience

• 3–5+ years in a senior leadership role

• Experience in high-growth B2B technology

Other Requirements:

• Strong background in brand and product marketing

• Hands-on experience with MarTech stacks

• Iteration and agile approach

Responsibilities:

• Lead and elevate Pano’s marketing strategy and build an A+ team

• Manage PR, communications, and storytelling around product innovation

• Define integrated strategy across brand, demand, and product marketing

• Lead Pano’s brand positioning and category creation

• Establish and track KPIs for demand generation and ROI

Benefits:

• Equity

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Education Requirements:

• BS in Engineering (Mechanical, Electrical, Computer, Systems or related)

Experience Requirements:

• 10+ years’ experience in design quality, reliability engineering, or systems engineering

Other Requirements:

• Experience with system FMEAs/DFMEAs

• Experience with reliability and stress tests

• Experience with statistical tools (Minitab, Python data stack)

Responsibilities:

• Act as independent quality representative across hardware, firmware, and software

• Lead and maintain system-level risk artifacts

• Define and own verification and validation strategy

• Drive risk-based decision making for release decisions

• Collaborate with AI teams for model performance monitoring