Benefits:

• Employee Stock Plan

• Competitive Compensation Package

• 100% Company Paid Premium Medical Plan

• Team Building Activities

• Paid Vacation And Time-off

Benefits:

• Employee Stock Plan

• Competitive Compensation Package

• 100% Company Paid Premium Medical Plan

• Team Building Activities

• Paid Vacation And Time-off

Benefits:

• Employee Stock Plan

• Competitive Compensation Package

• 100% Company Paid Premium Medical Plan

• Team Building Activities

• Paid Vacation And Time-off

Benefits:

• 20 vacation days

• Strong health and extended health benefits

• Unlimited sick days

• Stock options

Education Requirements:

• Bachelor’s or Master's degree in Electrical or Computer Engineering

Experience Requirements:

• 8+ years of Product and Test Engineering on VLSI silicon

Other Requirements:

• Excellent oral and written communication skills

• Understanding of CPU/GPU type products

• Experience with ATE Hardware & Test Program analysis

• Ability to review and analyze schematics

• Experience with Product Reliability Qualification

Responsibilities:

• Introduce new products to volume manufacturing

• Define and develop dashboards or scripts to quickly analyze incoming data

• Develop and drive and analyze all aspects of silicon reliability and qualification activities

• Develop and drive vendors to generate required hardware and software needed for the silicon manufacturing environment

• Responsible for creating needed documentation and dashboards

Benefits:

• Equity compensation

• Comprehensive health, dental, vision, and 401k benefits

Experience Requirements:

• 1-3 years of experience in a B2B SaaS development role at a growth stage company

• Demonstrated capability to sell operations or supply chain products into enterprises

• Led outbound business development efforts

• Technical depth, capable of appreciating complex data science and AI systems, and communicating systems to customers

• Flexibility and a level of comfort with early-stage ambiguity

Other Requirements:

• Bias for action and ability to quickly iterate

• Based in or willing to relocate to the Seattle area

Responsibilities:

• Working closely with the business development team to identify buying behavior and core characteristics of ideal Muir customers

• Leading and owning the outbound sales motion of Muir’s services

• Owning the quality and quantity of generated leads for the sales team

• Developing marketing strategies, building of content and tracking success of advertisement campaigns

• Identification of key features or services to meet customer demand

Benefits:

• Equity compensation

Experience Requirements:

• 3+ years of professional software development experience

• Previous experience developing across the product lifecycle, preferably at an early-stage startup

• Strong foundation in both frontend and backend development

• Experience with data integration, ETL processes, or API development

• Flexibility and a level of comfort with early-stage ambiguity

Other Requirements:

• Bias for action and ability to quickly iterate

• Excellent problem-solving and communication skills

• Based in or willing to relocate to the Seattle area

Responsibilities:

• Own and develop customer data integration solutions

• Design and implement features across the full stack of our cloud-native platform

• Create and maintain APIs that enable seamless data flow and third-party integrations

• Contribute to architectural decisions and help establish engineering best practices as we scale

• Collaborate closely with data scientists, engineers, designers and customers to solve complex technical challenges and deliver high-impact features

Benefits:

• Health insurance

• 401k

Experience Requirements:

• Expertise in time series forecasting research and deep learning

• Experience in transitioning machine learning models from research to production

• Experience in exploratory data analysis, feature engineering, and statistical modeling techniques applied to time series data

• Familiarity with classical statistical methods and measures used in defining volatility

Other Requirements:

• Strong communication skills

• Experience in healthcare or data engineering is preferred

• Ability to work in a fast-paced, collaborative environment

Responsibilities:

• Explore deep learning approaches

• Transition machine learning models to production environments

• Conduct in-depth exploratory data analysis

• Define and implement statistical measures of volatility

• Engineer relevant features from time series data

Benefits:

• Health insurance

• 401k

Experience Requirements:

• Experience working in a remote team

• Experience operating mission critical applications

• Fluent in Elixir or experience with BEAM language

• Experience in infrastructure automation (Terraform) and system administration

• Experience in high volume data processing systems

Responsibilities:

• Develop and operate the CalmWave platform

• Work on infrastructure, back-end Elixir, and front-end Phoenix LiveView

Benefits:

• Pre-IPO stock options

• Comprehensive medical, dental, and vision care

• 401(k)

• paid time off

• life insurance

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field

Experience Requirements:

• Minimum of 6 years of experience in designing and implementing device sensor and software agent related technologies

• Strong foundational knowledge in Linux or Windows OS and networking stack

Other Requirements:

• Excellent problem-solving skills and adaptability in a fast-paced startup environment

• Proficient communication and teamwork abilities

Responsibilities:

• Lead a team of engineers and developers specializing in network and server sensor technology

• Contribute hands-on engineering expertise to the project

• Provide expert knowledge in Linux embedded systems, Deep Packet Inspection (DPI), Intrusion Detection Systems (IDS), Linux kernel audit, and Windows event collection

• Stay abreast of the latest trends and technologies related to network and server data collection

• Establish rigorous test standard and test automation to ensure the reliability and performance all sensor products

Benefits:

• Pre-IPO stock options

• Comprehensive medical, dental, and vision care

• 401(k)

• paid time off

• life insurance

Education Requirements:

• Bachelor with 5+ years of working experience or master/PhD with 2+ years of working experience in cyber security related fields

Other Requirements:

• Familiar with at least two of the following languages: Python, C/C++, Shell script, Go, Ruby, or Java

• Familiarity with network protocols

• Experience on performance tuning on Linux systems

• Experience on Network IDS, IPS and Network Security Monitoring engines, like Suricata, is a plus

• Great team player and have a can-do attitude

• Self-motivated with a strong sense of ownership and the ability to work independently in a high-energy, fast paced, rapidly changing environment

• Excellent verbal, writing, and interpersonal communication skills

• Startup working experience is a plus

Responsibilities:

• Build robust, fault-tolerant, low footprint sensor software running on different Linux environments

• Design and write high-quality and high-performance code in a multi-threaded/multi-process environment

• Keep improving the performance of existing sensor software to use less host resources

• Write a script to deploy the Linux sensor in the customer’s environment

• Independently analyze and resolve sensor related customer cases

Benefits:

• Workforce development

• Volunteer days off

• Wellness programs

• Personal and holiday time off

• Equal pay and annual pay assessment

Education Requirements:

• No preference

Experience Requirements:

• Proven track record in closing B2B sales deals

• Skilled in developing persuasive sales assets

Other Requirements:

• Strong negotiation skills

• Strong analytical skills

• Background in building scalable sales teams

Responsibilities:

• Build Sales Infrastructure

• Drive Revenue Growth

• Gather Market Insights

• Establish Metrics & Reporting

• Plan for Team Growth

Benefits:

• Medical, dental, vision

• Health savings account plan

• Healthcare reimbursement arrangement

• Health care and dependent care flexible spending accounts

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

Education Requirements:

• PhD candidate or master/undergraduate student with a strong research and/or AI engineering background

Experience Requirements:

• Experience and/or knowledge of modern deep learning (CV, LLMs)

• Experience with foundation models (pretraining, finetuning, etc.)

• Interest in applying AI to address global environmental challenges

• Expertise in Python and standard ML engineering stacks (GitHub, CI, etc)

Other Requirements:

• Successful past internships or full-time employment in a technical role (bonus)

• Highly proactive and self-motivated (bonus)

• Experience with AI-assisted engineering (bonus)

• Experience with satellite imagery (bonus)

• Contributions to open-source projects (bonus)

• Experience with building ETL pipelines for large (PB) datasets (bonus)

• Experience training large models on many (multi-node) GPUs (bonus)

Responsibilities:

• Collaborate with research scientists and AI engineers to design and build innovative models

• Harness massive datasets from remote sensing, in situ observations, weather systems, and climate simulations

• Deploy models in real-world products and applications

Benefits:

• Medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program

• Voluntary life insurance program, voluntary accidental death and dismemberment program, health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• 401k plan

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

• Annual bonuses, long-term incentive plan

Education Requirements:

• Bachelor's degree in Computer Science or relevant engineering experience

Experience Requirements:

• 2+ years of software development experience

Responsibilities:

• Building infrastructure to facilitate the next generation of LLM research

• Optimizing training and inference for language models

• Developing infrastructure to deduplicate and analyze datasets at scale

• Triaging between experiments and executing on the most impactful

• Supporting and collaborating with an open-source community

Benefits:

• Medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program

• Voluntary life insurance program, voluntary accidental death and dismemberment program, health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• 401k plan

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

• Annual bonuses, long-term incentive plan

Education Requirements:

• BS or higher in Computer Science or a related field (MS a plus)

Experience Requirements:

• 2+ years of experience implementing machine learning or AI (including at least one year of prompt engineering and/or fine-tuning large language models)

Other Requirements:

• Strong software engineering skills

• Contributions to open-source research libraries (e.g., spaCy, Hugging Face’s Transformers) are a plus

• A passion for using AI to deliver high-quality products and user experiences

Responsibilities:

• Build infrastructure that powers groundbreaking research

• Conduct ML/AI/HCI experiments

• Implement and share open-source software

• Collaborate with team members across Ai2

• Mentor early-career researchers, engineers, and interns

Benefits:

• Medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program

• Voluntary life insurance program, voluntary accidental death and dismemberment program, health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• 401k plan

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

• Annual bonuses, long-term incentive plan

Education Requirements:

• 6+ years developing highly available software in a professional setting

Experience Requirements:

• Proficiency in Golang, Python, SQL, shell scripting and linux server administration

• A strong understanding of running containerized workloads (Docker)

• Experience debugging live systems

• Familiarity with cloud infrastructure (GCP, AWS)

• Excellent writing and collaboration skills

Other Requirements:

• Experience operating GPU clusters or developing distributed ML workloads (bonus)

• Deep systems administration expertise (bonus)

• Familiarity with Kubernetes (bonus)

• Prior experience serving AI models (inference) (bonus)

Responsibilities:

• Designing critical systems that solve emerging requirements

• Delivering software changes

• Contributing to Beaker

• Operating a fleet of state of the art GPU servers

• Reviewing code and design documents; mentoring team members

Benefits:

• Medical, dental, vision, and an employee assistance program

• Health savings account plan, healthcare reimbursement arrangement plan, health care and dependent care flexible spending accounts

• 401k plan

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

Education Requirements:

• BS degree in a quantitative field or equivalent experience

Other Requirements:

• Excellent communication skills

• Positive attitude

• Strong organizational skills

• Ability to independently learn new tools and platforms

• Strong analytical skills

• Basic coding skills (bonus)

• Experience working with a technical team (bonus)

Responsibilities:

• Program management of human annotation projects

• Create centralized resources for annotation projects

• Task setup and execution for annotation projects