Benefits:

• Interesting and challenging work

• Learning and growth opportunities

• Visa sponsorship and relocation assistance

• Health, dental, and vision insurance

• Regular team events and offsites

Experience Requirements:

• 5+ years of experience in data science or analytics

• Advanced-level SQL

• Proficiency in Python for modeling and experimentation

• Proficiency with dbt and orchestration tools

• Experience establishing data quality and governance

Other Requirements:

• Experience with API products or developer tools

• Exposure to cloud usage or compute efficiency data

• Interest in data systems for AI-driven workflows

Responsibilities:

• Architect metrics defining user success

• Develop causal understanding of customer discovery

• Own instrumentation standards and data contracts

• Surface insights through deep-dives

• Develop scalable data products

Benefits:

• Interesting and challenging work

• Competitive salary and equity

• Learning and growth opportunities

• Visa sponsorship and relocation assistance

• Health, dental, and vision insurance

Experience Requirements:

• Strong product UI/visual craft

• Experience designing web AND mobile experiences

• Solid design systems experience

• Comfortable owning features end-to-end

• AI-assisted prototyping mindset

Other Requirements:

• Familiarity with generative media UX patterns

• Front-end literacy in React/TypeScript/CSS

• Willingness to support GTM/graphic design needs

Responsibilities:

• Own end-to-end product design for features

• Design across web and true mobile experiences

• Build and maintain the design system

• Validate direction through fast prototyping

• Partner with Engineering and Product Management

Benefits:

• Competitive compensation and equity participation

• Flexible, innovative, and highly collaborative environment

Experience Requirements:

• Minimum of 10 years of customer success experience

• 5+ years operating at the VP level leading and scaling CS teams

• VP-level experience in SaaS, subscription-based environments

• Strong track record of driving high renewal and retention rates

• Experience supporting large enterprise customers with complex solutions

Other Requirements:

• Entrepreneurial mindset

• Ability to rapidly develop deep product expertise

• Willingness to lead from the front and operate hands-on

Responsibilities:

• Build, lead, and scale a global Customer Success organization

• Develop strategies to deliver incremental professional services revenue

• Align CS strategy with customer satisfaction and value creation goals

• Drive operational excellence through standardized CS processes

• Act as executive sponsor with major customers and strategic partners

Benefits:

• competitive salary

• medical benefits

• opportunity to work on the most innovative technology

Education Requirements:

• Bachelor’s in Computer Science or related fields

• Advanced degree preferred

Experience Requirements:

• 1-3 years of demonstrable experience programming in Qt and Python

• Expertise developing responsive layouts with CSS and HTML

Other Requirements:

• Detail oriented with a positive attitude

• Willingness to share and learn from others

• Familiarity with React, Node.js, REST API / services

• Familiar with integration and virtualization tools (Docker, Kubernetes)

• Familiar with source control and cloud services (AWS / GCP)

Responsibilities:

• Develop new user interface used to view medical images

• Build well designed and effective applications that support complex workflows

• Develop infrastructure for transmission of sensitive clinical data on the cloud

• Support engineering by developing automation and test tools

• Follow and build upon software engineering best practices for code management and testing

Benefits:

• competitive salary

• medical benefits

• opportunity to work on the most innovative technology

Education Requirements:

• MS or PhD in electrical engineering, applied physics, math, aerospace, statistics, or computer science

Experience Requirements:

• Demonstrated industry or research experience (2-4 years) in signal or image processing, computer vision, or machine learning

• Proficient in Python and supporting tools for scientific computing

Other Requirements:

• Solid background in math, signal processing, and linear algebra

• Prior experience with medical imaging processing and analysis in a scientific setting

• Prior experience with signal processing and/or MR imaging physics

• Familiarity with reconstruction methods for MRI or CT is a plus

• Eager to share and learn from a multidisciplinary team

Responsibilities:

• Build algorithms for our new compact office-based MRI system

• Own imaging and software projects related to signal processing, signal analysis, and linear algebra

• Collaborate with a diverse team of software, system, and RF engineers in building a robust system

• Producing high quality clinical images while minimizing scan time

Benefits:

• competitive salary

• medical benefits

• opportunity to work on the most innovative technology

Education Requirements:

• Bachelor’s degree in Engineering or a related field

• Advanced degree preferred

Experience Requirements:

• Technical knowledge and applicability of FDA regulations and ISO standards

• Prior experience with medical imaging devices

Other Requirements:

• Creative and resourceful

• Excellent writing and presentation skills

• Excellent planning & organizational skills

• Exhibit quality of leadership

• Skilled in data analysis and reporting

Responsibilities:

• Create and manage a quality management system (QMS)

• Document, review, and maintain quality records

• Perform periodic internal quality audits and analyze quality metrics to suggest improvements

• Initiate necessary actions when anomalies are identified

• Be the lead during external audits

Benefits:

• Equity in a unicorn-stage company

• 100% medical, dental, and vision premiums

• 401(k) matching plan up to 4%

• Unlimited Time Off policy

• Catered lunches

Experience Requirements:

• 6+ years of experience in Finance

• Specific emphasis on Sales Finance, Strategic Finance, or FP&A

• High-growth startup experience

• Sales Exposure and understanding of enterprise contracts

• Experience standing up or managing CRMs

Other Requirements:

• Operational intuition for sales operations

• Ability to architect sources of truth

• Relentless automation mindset

• Ability to thrive in ambiguity

Responsibilities:

• Build the GTM Finance Engine

• Partner with the sales team on quotas and commissions

• Aid in capital allocation and headcount planning

• Design workflows connecting revenue engine to general ledger

• Automate invoicing and collections

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:

• Strong proficiency in React and Next.js with TypeScript

• Experience with TailwindCSS and component libraries like ShadCN

• Comfort working with APIs and making light backend modifications

• Track record of shipping in fast-paced environments

Other Requirements:

• Ability to thrive in ambiguity

• Proactive decision-making skills

• Product ownership mindset

• Balance of speed and quality

Responsibilities:

• Build frontend systems for AI model customization platform

• Create intuitive interfaces for complex ML workflows

• Collaborate with ML researchers and backend engineers

• Polish demos and prototypes for enterprise customers

• Contribute to mobile app development

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:

• 4+ years designing complex tools or platforms

• Portfolio demonstrating systems thinking and interaction design

• Experience translating technical complexity into usable products

• Experience iterating based on prototyping and feedback

Other Requirements:

• Ability to own problems and analyze user feedback

• Fast-paced prototype building

• Systemic thinking regarding permissions and states

• Collaboration skills with engineering teams

Responsibilities:

• Design intuitive flows for LEAP Workbench

• Translate complex ML workflows into simple experiences

• Improve UI/UX of Apollo mobile application

• Analyze usage data to prioritize design improvements

• Maintain and evolve design system and component library

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

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