Experience Requirements:

• Fluent in Python and frameworks like PyTorch, JAX, or TensorFlow

• Experience in ML research or production-grade ML systems

• Track record of publication in tier-1 venues (NeurIPS, ICML, etc.)

Other Requirements:

• Ability to move fast from paper to prototype

• Focus on efficiency and scalability

• Preference for small, deep-technical teams

Responsibilities:

• Design and implement novel architectures and training methods

• Translate scientific ideas into working systems

• Publish original research

• Deploy adaptive intelligence systems

• Collaborate with core foundation model and systems teams

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching up to 4%

• Unlimited PTO

• Company-wide Refill Days

Experience Requirements:

• Familiarity with the open-source AI ecosystem

• Hands-on experience with LLM training, fine-tuning, or deployment

• Track record of building external partnerships or community relationships

Other Requirements:

• Ownership of open-source partnerships

• Community-first reasoning skills

• Pragmatic approach to developer adoption

• Clear communication between technical teams and partners

Responsibilities:

• Primary point of contact for open-source partners

• Support model releases with marketing and technical content

• Produce tutorials, articles, and guides for LFMs

• Maintain and improve LFM documentation

• Relay community feedback to internal teams

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching up to 4%

• Unlimited PTO

• Company-wide Refill Days

Experience Requirements:

• Hands-on experience with distributed training infra (DDP, FSDP, DeepSpeed)

• Experience diagnosing performance bottlenecks and OOMs

• Understanding of hardware accelerators and networking topologies

• Experience optimizing data pipelines for ML workloads

Other Requirements:

• Passion for distributed systems complexity

• Builder mindset for robust infrastructure

• Ability to thrive in ambiguity

• Data-driven decision making

Responsibilities:

• Design core systems for large training runs

• Build scalable distributed training infrastructure for GPU clusters

• Implement and tune parallelism/sharding strategies

• Optimize distributed efficiency (topology-aware collectives)

• Build data loading systems for multimodal datasets

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching up to 4%

• Unlimited PTO

• Company-wide Refill Days

Education Requirements:

• Quantitative degree (mathematics, physics, or similar)

Experience Requirements:

• 5+ years of experience in systems programming

• Strong C++ proficiency

• Embedded software engineering experience

• Understanding of ML fundamentals at the linear algebra level

• Knowledge of SIMD/vectorization and cache hierarchies

Other Requirements:

• Ability to work autonomously to hit performance targets

• Hardware-level thinking regarding memory access patterns

• Ability to bridge ML and systems implementations

Responsibilities:

• Implement and optimize inference kernels for CPU, NPU, and GPU

• Develop quantization strategies (INT4, INT8, FP8)

• Contribute to llama.cpp and open-source inference frameworks

• Profile end-to-end inference pipelines

• Identify optimization opportunities for Liquid Foundation Models

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching up to 4%

• Unlimited PTO

• Company-wide Refill Days

Experience Requirements:

• Hands-on experience with LoRA, PEFT, DPO, or RLHF

• Experience with modern architectures like Llama 3.x or Mistral

• Experience generating and curating synthetic training data

• Autonomous coding skills in Python and PyTorch

• Proficiency with Hugging Face transformers and datasets

Other Requirements:

• Methodical debugging skills

• Ability to ship solutions to customers

• Open source contributions (Hugging Face profile, etc.)

Responsibilities:

• Fine-tune LFMs on customer data for edge deployments

• Generate and curate data to address model failure modes

• Run experiments and track metrics for customer success

• Translate customer requirements into technical specs

• Provide analytics to commercial teams for contract structuring

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching up to 4%

• Unlimited PTO

• Company-wide Refill Days

Experience Requirements:

• Experience authoring custom CUDA kernels

• Strong understanding of GPU architecture (memory hierarchy, warps)

• Proficiency with low-level profiling (Nsight Systems/Compute)

• Strong C/C++ skills

Other Requirements:

• Profiler-first working style

• Ability to bridge theory and practice

• Ability to execute independently on ambiguous bottlenecks

• Attention to detail regarding tensor core utilization

Responsibilities:

• Write high-performance GPU kernels for novel architectures

• Integrate kernels into PyTorch pipelines

• Profile and optimize training and inference workflows

• Build correctness tests and numerics checks

• Maintain performance benchmarks and guardrails

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