Education Requirements:

• BS in CS or Engineering

Experience Requirements:

• 5 years using BI / Analytics solutions

• 4 years in RDBMS and big data tech like Hadoop

• 3 years in Java and Advanced Analytics like Scala/SPSS

• Previous work in industrial IOT and manufacturing

Responsibilities:

• Designing, developing, and maintaining secure backend systems that underpin our AI platform.

• Implementing security features and best practices throughout our codebase to safeguard data and infrastructure.

• Collaborating with cross-functional teams to integrate security considerations into all aspects of product development and deployment.

• Conducting regular security reviews, audits, and code assessments to proactively identify and mitigate vulnerabilities.

• Building and maintaining secure CI/CD pipelines with integrated security scanning and vulnerability management tools.

Responsibilities:

• Building small, specialized models to conduct detailed safety evaluations of LLM outputs.

• Developing classifiers to detect unsafe, biased, or harmful responses, and integrating them into our response modeling pipelines.

• Collaborating with fine-tuning and training teams to ensure that safety protocols are embedded within our model development lifecycle.

• Conducting in-depth research on adversarial attacks, model vulnerabilities, and safety enhancements to stay ahead of emerging threats.

• Serving as a key technical leader, driving the innovation and evolution of our LLM safety practices, ensuring our models operate reliably and securely in enterprise settings

Responsibilities:

• Designing, building, and maintaining state-of-the-art data tools that convert raw data into high-quality datasets for ML training and labeling.

• Developing robust workflows and pipelines for data transformation, filtering, analysis, and cleaning that enhance dataset quality.

• Collaborating with ML researchers, data scientists, and engineers to ensure our data tools meet the rigorous standards required for enterprise-grade AI.

• Continuously evaluating and integrating emerging technologies to keep our data curation processes at the forefront of innovation.

• Driving the evolution of our data platform to support scalable, efficient, and effective data annotation and labeling pipelines.

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

Responsibilities:

• Designing, developing, and maintaining backend services and tools to support our ML inference pipelines, data tools, and security systems.

• Collaborating with teams across the organization to integrate backend solutions seamlessly with our front-end and ML components.

• Ensuring high levels of scalability, reliability, and security in the systems you build.

• Participating in code reviews, testing, and documentation efforts to maintain our high-quality software standards.

• Continuously learning about ML workflows and contributing innovative ideas to further enhance our AI platform.

Benefits:

• Competitive salary and benefits package.

• Career growth opportunities in a rapidly expanding sector.

Experience Requirements:

• 5+ years of professional experience in frontend software engineering.

Responsibilities:

• Design, develop, and maintain responsive and user-friendly interfaces for AI-driven customer engagement solutions.

• Collaborate with backend engineers to ensure seamless integration of AI models, including LLM technologies, into frontend applications, delivering personalized and seamless user interactions.

• Build and optimize highly responsive user interfaces using modern web frameworks and libraries, ensuring accessibility and exceptional user experiences.

• Implement intuitive data visualizations and interfaces that present AI-powered insights effectively to users.

Benefits:

• Competitive salary and benefits package.

• Career growth opportunities in a rapidly expanding sector.

Experience Requirements:

• 5+ years of professional experience in full-stack software engineering

• Proven expertise in Large Language Models (LLMs), Generative AI, or similar advanced AI technologies.

• Hands-on experience with open-source LLM frameworks and tools, with a strong understanding of their deployment and optimization.

• Strong experience in backend development, including API design, micro services architecture, and working with cloud platforms (especially Google Cloud).

Responsibilities:

• Design, develop, and maintain robust, scalable full-stack applications that power AI-driven customer engagement solutions.

• Implement and integrate AI models, including LLM technologies, to deliver personalized and seamless customer interactions.

• Build and optimize responsive user interfaces using modern web frameworks while ensuring exceptional user experiences.

• Ensure seamless integration between frontend components and backend services to deliver cohesive, end-to-end solutions.

Benefits:

• Competitive salary and benefits package.

• Career growth opportunities in a rapidly expanding sector.

Experience Requirements:

• 5+ years of professional experience in backend software engineering.

• Proven expertise in Large Language Models (LLMs), Generative AI, or similar advanced AI technologies.

• Hands-on experience with open-source LLM frameworks and tools, with a strong understanding of their deployment and optimization.

Responsibilities:

• Design, develop, and maintain robust, scalable backend services that power AI-driven customer engagement solutions.

• Implement and integrate AI models, including LLM technologies, to deliver personalized and seamless customer interactions.

• Optimize backend systems for performance, scalability, and reliability to support real-time AI-driven workflows.

Benefits:

• Competitive salary and benefits package

• Opportunity to work on cutting-edge medical imaging technology

• Collaborative and supportive work environment

• Chance to make a real impact on the lives of patients

• $1,500 stipend

Experience Requirements:

• A strong understanding of MRI reconstruction theory and design

• Proven experience in software development

• Excellent communication and collaboration skills

• A passion for innovation and a drive to make a real impact in the medical field

• The ability to work independently while also thriving in a collaborative team environment

Responsibilities:

• Design, develop, and maintain innovative in-house reconstructions for advanced MRI applications

• Collaborate effectively with a small, dynamic team in a fast-paced environment

• Leverage your strong mathematics and algorithm knowledge to contribute to technical discussions and problem-solving

• Write clean, well-documented, and maintainable code in C++, Javascript, and Python

• Stay up-to-date on the latest advancements in MRI reconstruction methodology

Benefits:

• Competitive salary and benefits package

• Opportunity to work on cutting-edge medical imaging technology

• Collaborative and supportive work environment

• Chance to make a real impact on the lives of patients

• $1,500 stipend

Experience Requirements:

• A strong understanding of MRI pulse sequence and RF theory and design

• Proven experience in software development

• Excellent communication and collaboration skills

• A passion for innovation and a drive to make a real impact in the medical field

• The ability to work independently while also thriving in a collaborative team environment

Responsibilities:

• Design, develop, and maintain innovative in-house pulse sequences for advanced MRI applications

• Collaborate effectively with a small, dynamic team in a fast-paced environment

• Leverage your strong MRI physics knowledge to contribute to technical discussions and problem-solving

• Write clean, well-documented, and maintainable code in C++ and Javascript

• Stay up-to-date on the latest advancements in pulse sequence and RF design

Benefits:

• Competitive salary and benefits package

• Opportunity to work on cutting-edge medical imaging technology

• Collaborative and supportive work environment

• Chance to make a real impact on the lives of patients

• $1,500 stipend

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

Experience Requirements:

• High proficiency in Python

• Experience with building and managing self-hosted ML pipelines using tools like MLFLow, Weights and Biases, ClearML, or others

• Experience with cloud platforms

• Experience with medical imaging formats and tools including DICOM, NIfTI, and NRRD

• High proficiency with TensorFlow and PyTorch frameworks

Other Requirements:

• Excellent problem-solving and communication skills and the ability to work both independently and in a team

Responsibilities:

• Deploy models into production environments and manage their lifecycle

• Ensure that ML algorithms are performing as expected and meet business requirements

• Interface between the ML and platform teams

• Strive for highly scalable, efficient, and easy-to-maintain ML systems

• Establish and maintain a platform catered to a small company that facilitates the entire ML workflow including Model prototyping, Data tracking for datasets, models, and annotations, Training experiment tracking, Deployment for our clinical workstations, Model or data updates

Benefits:

• Competitive cash and equity-based compensation

• xAI equity

• Private health and dental insurance

• Unlimited time off subject to prior approval

Experience Requirements:

• Expert in at least one programming language that compiles to machine code such as Rust, C++, or Go.

• Expert knowledge of monitoring technologies such as Prometheus, Grafana, and PagerDuty.

• Expert knowledge of deployment technologies such as Pulumi or Terraform.

• Expert knowledge of Kubernetes

Responsibilities:

• Improving our observability by adding/adjusting metrics

• Building easily parsable dashboards

• Building reliable alerts

• Designing and overseeing our on-call rotations

• Improving our deployment process to increase reliability

Benefits:

• stock options

• comprehensive benefits plan

Experience Requirements:

• 1 year+ industrial or academic lab experience

Other Requirements:

• Demonstrated strong engineering skills in Python and PyTorch

• Hands-on experience building machine learning models from scratch using PyTorch

• Familiarity with generative multimodal models such as Diffusion Models and GANs

• Solid understanding of foundational deep learning concepts

Responsibilities:

• Lead and contribute to groundbreaking research in multimodal foundation models

• Design, develop, and experiment with innovative algorithms

• Optimize models for production environments

• Analyze and manage large-scale data clusters

• Collaborate with cross-functional teams

Benefits:

• stock options

• comprehensive benefits plan

Education Requirements:

• Bachelor’s Degree in Design, Human-Computer Interaction, or related field

Experience Requirements:

• Minimum 8 years of experience in UI/UX design

Other Requirements:

• Strong portfolio showcasing design skills and projects

• Proficiency in design tools such as Sketch, Adobe XD, Figma

• Knowledge of front-end technologies such as HTML, CSS is a plus

Responsibilities:

• Lead the UI/UX design process from concept to implementation

• Work closely with product managers, technical engineers, and our creative team to define product requirements and specifications

• Conduct user research, usability testing, and analysis to improve designs based on user insight

• Maintain and evolve design system and style guide to ensure product scalability and consistency

Benefits:

• stock options

• comprehensive benefits plan

Experience Requirements:

• 3+ years of experience in product management

Other Requirements:

• Creative Mindset

• User-Centric

• Technical Acumen

• Data-Driven

• Excellent verbal and written communication skills

Responsibilities:

• Define and own the vision, strategy, and roadmap for our core product

• Conduct user research and analyze data to understand customer behavior

• Prioritize and drive the development of new features

• Work closely with cross-functional teams

• Build and nurture features that empower our user community and foster engagement

Benefits:

• stock options

• comprehensive benefits plan

Experience Requirements:

• 3+ years of experience in billing, payroll, and/or financial operations

Other Requirements:

• Strong understanding of tax compliance and regulatory requirements for payroll and contractor payments

• Proficiency in financial platforms and tools for expense management and reconciliation

• Excellent organizational and problem-solving skills

Responsibilities:

• Oversee billing operations

• Manage company-wide expense policies

• Optimize procurement processes and vendor management

• Administer payroll operations

• Facilitate employee reimbursements

Benefits:

• stock options

• comprehensive benefits plan

Education Requirements:

• Extensive experience in full-stack development

Experience Requirements:

• Extensive experience in full-stack development

Other Requirements:

• Expertise in a wide array of programming languages, development frameworks, and database technologies

• A demonstrated ability to take on a broad range of engineering tasks

• A flexible, agile approach to development

• Strong communication skills

Responsibilities:

• Lead the charge in developing cutting-edge full-stack web and mobile applications

• Architect and implement robust backend systems

• Demonstrate exceptional versatility in engineering

• A problem-solver at heart, ready to tackle complex engineering challenges

Benefits:

• stock options

• comprehensive benefits plan

Experience Requirements:

• 1 year+ industrial or academic lab experience

Other Requirements:

• Strong proficiency in Python with substantial experience using PyTorch

• Hands-on experience with visual AI technologies

• Passion for exploring and experimenting with multimodal generative AI

Responsibilities:

• Design and implement innovative generative AI features for integration into our products

• Collaborate with Research and Product teams to fine-tune models

• Build tools and methodologies to evaluate model performance

Benefits:

• stock options

• comprehensive benefits plan

Other Requirements:

• Proficiency in deep learning frameworks, such as PyTorch and/or JAX

Responsibilities:

• Developing and training generative AI models across modalities

• Unlocking the potential of foundational models for applications like editing and controlled generation

• On-policy and off-policy reinforcement learning for model optimization and tuning

• Innovating efficient training and inference techniques on large-scale distributed systems

• Curating and processing datasets for pretraining and fine-tuning