AI Jobs

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:

• 3+ years of professional experience in ML pipelines, distributed systems, or high-performance computing

Other Requirements:

• Hands-on experience training large models using Python and PyTorch

• Proven expertise in optimizing and deploying inference workloads

• Deep understanding of distributed systems and frameworks

• Strong experience writing high-performance parallel C++ and custom PyTorch kernels

Responsibilities:

• Scale and optimize systems for training large-scale models

• Profile and enhance the performance of training codebases

• Develop systems to distribute workloads efficiently

• Design and implement robust solutions to enable model training

• Build tools to diagnose issues

Benefits:

• stock options

• comprehensive benefits plan

Education Requirements:

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

Experience Requirements:

• 3+ years of experience in managing and curating large-scale datasets

Other Requirements:

• Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch

• Experience with large-scale data processing tools, such as SQL or Spark

• Hands-on expertise in designing and working with distributed systems

Responsibilities:

• Partner with research teams to understand and address model performance gaps

• Develop and implement robust data pipelines

• Collaborate with annotation operations teams to design innovative data filtering strategies

• Apply and integrate advanced methodologies such as self-supervised active learning to scale data systems

• Lead research projects to improve data quality

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

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

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

Experience Requirements:

• 0-1 Yr Exp

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Health insurance, which includes employer contributions toward medical/vision/dental

• Employer paid Basic Life insurance with additional coverage available (amount depends on Bargaining Unit)

• Paid holidays

• Personal leave with an accrual rate increase based on time served

Education Requirements:

• A bachelor's degree from an accredited college in biology, a branch of biology, limnology, biometrics, oceanography, forestry, or natural resource management

• One year of full performance professional level biologist experience

Experience Requirements:

• 6 - 10 years

Other Requirements:

• Requires Onsite work

• Requires frequent travel for fieldwork (at least 10 days at a time at least twice a year)

• A valid driver's license is required

• This position may be in possession of, or have access to, firearms/ammunition

• If you have ever been convicted of a misdemeanor crime of domestic violence, do NOT apply for this position

Responsibilities:

• work collaboratively as part of the research team in Region IV of the Alaska Department of Fish and Game to evaluate critical management and ecological questions in large game mammals, with a focus on carnivores, including wolves and brown bears

• responsible for working with wildlife managers to identify research questions and associated hypotheses and will lead development and execution of rigorous studies to evaluate those hypotheses

• assist other researchers in project development and execution, and lead or contribute to development of new or evaluation of existing survey and inventory techniques

Benefits:

• Competitive medical, dental, and vision plans

• Life insurance

• Voluntary life options

• Financial tools such as FSA and HSA

• 401k plans

Benefits:

• Competitive medical, dental, and vision plans

• Life insurance

• Voluntary life options

• Financial tools such as FSA and HSA

• 401k plans

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field

Experience Requirements:

• 8+ years of experience in architectural modeling or simulation platforms, preferably with experience in AI or high-performance computing projects

Other Requirements:

• Strong understanding of system-level challenges in AI compute systems, including network bandwidth, memory, and thermal considerations

• Proficiency in C and C++ for high-performance SW development and Python for handling machine learning workloads and related tasks

• Hands-on experience in performance analysis, profiling tools, and model validation techniques

• Strong analytical and problem-solving skills

• Excellent collaboration and communication skills

• Provide technical leadership and mentorship to junior software engineers

• Entrepreneurial mindset, adaptable to fast-paced, dynamic environments

Responsibilities:

• Design and develop architectural models for FlexAI's purpose-built AI compute systems

• Collaborate with hardware and software teams to define model requirements and design constraints

• Optimize architectural models for efficient execution

• Integrate workloads and the FlexAI software stack on top of architectural models

• Conduct performance analysis and profiling of architectural models

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• Proven experience as an AI Compiler Engineer, preferably in within the PyTorch ecosystem

Other Requirements:

• Demonstrated experience in compiler optimizations and principles

• Solid understanding of machine learning and deep learning concepts

• Proficiency in programming languages such as C, C++, Python, Go or Rust

• Experience with compiler optimization techniques and code generation for AI workloads

• Experience with compiler frameworks is highly desirable (LLVM, MLIR, TVM, etc)

• Experience with hardware / software co-design

• Knowledge of parallel computing architectures and vectorization

• Strong analytical and problem-solving skills

• Excellent collaboration and communication skills

• Excellent oral and written communication skills in English

• Entrepreneur & start-up mindset

Responsibilities:

• Develop and optimize AI compiler techniques for improving the performance of deep learning/LLM models

• Define and build the infrastructure to measure and track compiler performance

• Collaborate with fellow engineers to design, develop, and debug AI models, tools, and libraries

• Contribute to the company's research and development efforts

• Participate in performance analysis, tuning, and debugging session

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor's or higher degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• 8+ years of experience as software engineer

Other Requirements:

• Expertise in front-end development using modern frameworks and technologies such as React, Vue.js, or Angular

• Strong understanding of UI/UX principles

• Proficiency in HTML, CSS, JavaScript/TypeScript, and other front-end tools

• Familiarity with backend development (Go, Python, Node.js, etc.) and fullstack environments

• Ability to take ownership of projects, make technical decisions

• Experience working in agile development teams

Responsibilities:

• Lead front-end development

• Choose the technical stack

• Collaborate across teams

• Fullstack responsibilities

• Maintain best practices

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Experience Requirements:

• 5+ years of experience working at an Open Source operating system provider (RedHat, Canonical, SUSE) or a cloud provider managing operating system images and artifacts

Other Requirements:

• Strong expertise in CI/CD automation workflows and tools like Ansible

• In-depth knowledge of Linux kernel, custom driver builds, and toolchains

• Hands-on experience with bare-metal infrastructure deployment and optimization

• Experience with performance benchmarking, profiling, and low-level debugging techniques

• Proven ability to work with distributed teams

• Familiarity with security best practices in the context of operating system releases

• Strong collaborative mindset

• Excellent communication skills

• Proactive problem-solving skills and a strong sense of ownership

Responsibilities:

• Package and maintain FlexOS, FlexAI's optimized Linux distribution

• Ensure high standards of quality, security, and performance across operating system releases

• Automate CI/CD workflows using tools like Ansible

• Customize and manage Linux kernel and drivers for FlexOS

• Perform benchmarking, performance profiling, and low-level debugging

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Other Requirements:

• Proven experience in leading QA efforts across software development teams

• Expertise in both manual and automated testing

• Excellent programming skills in bash , Python, Golang

• Experience with Automation reporting tools such as Allure or similar

• Experience with CI/CD tools and practices (e.g., Jenkins, GitHub Actions)

• Ability to work closely with software teams

• Strong leadership skills

Responsibilities:

• Lead and develop QA strategy

• Ensure Key Performance Indicators (KPIs) are achievable

• Define CI Workflows

• Establish testing frameworks

• Generate automation test reports