AI Jobs
Find the latest job opportunities in AI and tech
Find the latest job opportunities in AI and tech
Find the latest job opportunities in AI and tech
Founding Product Engineer
Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world.
Benefits:
Generous compensation, equity, and benefits
$20K+ yearly budget for self-improvement
Actively co-create and participate in a positive, intentional team culture
Frequent team events, dinners, off-sites, and hanging out
Experience Requirements:
Experience in software engineering
Experience with Python (for some roles)
Experience with machine learning (for some roles)
A track record of high-quality papers at top conferences (for Research Scientist role)
Other Requirements:
Motivated by solving real problems for real customers (for Founding Product Engineer)
Energized by understanding and talking to users (for Founding Product Engineer)
Able to work independently and without explicit directions (for Founding Product Engineer)
Familiar with Python (for Founding Product Engineer)
Either experienced or interested in being a founder of a software product company (for Founding Product Engineer)
Highly accomplished machine learning researcher (for Research Scientist)
Able to create research questions and coordinate a research program (for Research Scientist)
Extremely comfortable running ML experiments (for Research Scientist)
Able to clearly communicate about ideas and intuitions (for Research Scientist)
Excited to mentor a small team of great research engineers (for Research Scientist)
Passionate about enabling other engineers and creating good tooling for developers (for Software Engineer, Infrastructure)
Experienced with DevOps (for Software Engineer, Infrastructure)
Careful and detail-oriented (for Software Engineer, Infrastructure)
Very comfortable writing Python (for Software Engineer, Machine Learning)
Familiar with PyTorch and training deep neural networks (for Software Engineer, Machine Learning)
Passionate about engineering best practices (for Software Engineer, Machine Learning)
Self-directed and independent (for Software Engineer, Machine Learning)
Excellent at getting things done (for Software Engineer, Machine Learning)
Loves to code (for Tech Lead)
Knowledgeable and eager to keep up-to-date with best engineering practices (for Tech Lead)
Passionate about people, mentorship, and teaching (for Tech Lead)
Very proficient with Python (for Tech Lead)
Knowledgeable about machine learning (for Tech Lead)
Responsibilities:
End-to-end ownership over the product (Founding Product Engineer)
Conducting user interviews and prototyping (Founding Product Engineer)
Implementing and shipping code (Founding Product Engineer)
Investigating fundamental questions of intelligence (Research Scientist)
Collaborating with other researchers (Research Scientist)
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ScanForm Field Coordinator
QED.ai provides AI-driven solutions for data scarcity in health and agriculture, offering tools for data digitization, geospatial mapping, and spectroscopy.
Benefits:
Unusual, socially conscious projects
Little bureaucracy
Travel to exotic places around the world
Experience Requirements:
Residency in Malawi, Cameroon, Nigeria, South Africa.
Experience with field work and coordination of field teams.
Fluency in multiple languages, including both English and local languages in the country of residence.
Emotional intelligence and strong face-to-face communications skills.
Experience and comfort with making public presentations.
Other Requirements:
High proficiency in speaking, reading, and composing clear and correct English.
English typing speed of at least 40 words per minute.
Strong logical reasoning and attention to detail.
Experience with composing field reports and summaries.
Experience working with Excel spreadsheets.
Ability to listen carefully to our clients and communicate their desires accurately back to the team.
Ability to juggle substantial quantities of facts and figures.
Enthusiasm for technology and optimization.
Highly preferred full-time employment of at least 40 hours per week. Promising students with exceptional skills should contribute at least 24 hrs/week.
Critical thinking skills, expressiveness, and team-oriented attitude.
And you have to care about the work that you do!
Responsibilities:
Coordinate the deployment of ScanForm, working with in-country MOH and IP teams to ensure smooth roll-out, including testing, multiple levels of training, distribution, and monitoring and evaluation.
Use diplomacy to establish good relationships with all parties and diffuse issues as they arise.
Compose field reports and summaries.
Identify problems, diagnose causes, and resolve or delegate tickets to appropriate technical staff.
Liaise with government to support data use and monitoring and evaluation to drive public policy.
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Software Engineer - Full Stack
Letter AI is an AI-powered platform for revenue enablement, offering training, content creation, and real-time assistance to boost sales team performance.
Benefits:
Competitive salary
Benefits
Equity stake
Experience Requirements:
3+ years of experience in full-stack software development
Proven experience working with TypeScript/JavaScript, React, Python web development, API integration
Familiarity with database fundamentals and infrastructure management using Terraform and AWS
Knowledge of automated UI testing frameworks
Past experience or strong interest in generative AI
Other Requirements:
Highly collaborative mindset with strong communication and problem-solving skills
Responsibilities:
Develop high-performance, responsive customer features in Python, React, Redux, and Typescript
Implement LLM-powered features across multiple modalities: text, image, video, audio
Collaborate closely with the backend team to ensure smooth integration and contribute to architectural decisions
Understand customers needs and use that knowledge to improve the user experience
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MTS Control Plane - Distributed Computing (SaaS)
AI-powered ITOps engineer that reduces MTTR, scales SRE orgs, and acts as a 10x ITOps SME.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
Experience Requirements:
Proven experience in designing and building high-performance and secure APIs
Strong programming skills in Python
Knowledge of cloud computing, SaaS, and microservices architecture
Familiarity with Docker, and Kubernetes
Experience with performance optimization and scalability of distributed systems
Other Requirements:
Excellent problem-solving and debugging skills
Strong teamwork and communication skills
A passion for staying updated on emerging technologies and industry trends
Responsibilities:
Collaborate with cross-functional teams to design, develop, and maintain the control plane components of our distributed computing platform.
Implement and optimize Python-based control plane services to enable the management, orchestration, and scaling of distributed workloads.
Contribute to the development of SaaS offerings, ensuring they meet high standards of reliability, scalability, and security.
Identify performance bottlenecks and implement solutions to improve the overall efficiency of our distributed systems.
Actively participate in code reviews, providing and receiving feedback to maintain code quality and best practices.Stay up-to-date with the latest trends and technologies in distributed computing and SaaS to drive innovation within the company
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MTS Cognitive Database Design Engineer
AI-powered ITOps engineer that reduces MTTR, scales SRE orgs, and acts as a 10x ITOps SME.
Experience Requirements:
Proven experience in building and optimizing database engines
Prior experience with PostgreSQL extensions
Other Requirements:
Solid foundation in data structures, algorithms, and database design
Problem-solving skills and a passion for enhancing database performance
Excellent communication and collaboration abilities
Strong analytical mindset and a drive for innovation
Responsibilities:
Invent, design, develop, and optimize core database engines.
Collaborate on projects that involve NLP and machine learning applications to extract valuable insights from structured and unstructured data.
Tackle complex database challenges, including schema design, query optimization, and distributed data processing.
Stay current with emerging trends in database management, NLP, and machine learning
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AI Engineer
AI-powered ITOps engineer that reduces MTTR, scales SRE orgs, and acts as a 10x ITOps SME.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
Experience Requirements:
Experience with model training, deploying, and maintenance.
Strong knowledge of reinforced feedback techniques and reinforcement learning.
Proficiency in frameworks like PyTorch, TensorFlow, or similar.
Familiarity with NLP, text generation, and language understanding
Other Requirements:
Strong problem-solving skills and a passion for addressing complex AI challenges.
Excellent communication and collaboration abilities.
Self-motivated and eager to stay at the forefront of AI advancements
Responsibilities:
Lead the development and customization of large-scale language models that drive the NeuBird platform.
Implement and experiment with RLHF to enhance model performance and decision-making.
Collaborate with cross-functional teams to integrate language models into various applications and platforms.
Work on model fine-tuning, performance optimization, and continuous improvement.
Stay up-to-date with the latest research and trends in language modeling and RLHF.Contribute to research projects and technical publications.Participate in code reviews and mentorship of junior engineers
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AI Strategist
Distyl builds trusted AI systems for Fortune 500 companies, automating core operations with rapid time-to-value using its proprietary Distillery platform.
Benefits:
Competitive salary and benefits package, including equity options and healthcare.
Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.
Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.
Collaborative and supportive work environment, with a strong focus on personal and professional growth.
Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.
Experience Requirements:
A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration.
Exceptional Communication Skills
User Empathy and Customer Focus
Thrive in Ambiguity
AI Passion
Other Requirements:
Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL)
Travel: Ability to travel 25-75%, varying by team
Responsibilities:
Earn Customer Trust
End-to-end Workflow & Outcome Ownership
Leadership
Data Analysis
User Adoption Product Feedback
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AI Engineer
Distyl builds trusted AI systems for Fortune 500 companies, automating core operations with rapid time-to-value using its proprietary Distillery platform.
Benefits:
Opportunity to build a mission-oriented company together to create practical adoption of the biggest revolution in human productivity.
Opportunity to own $Xm+ accounts with some of the most iconic institutions, and drive transformative outcomes.
Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.
Competitive salary and benefits package, including equity options and healthcare.
Collaborative and supportive work environment, with a strong focus on personal and professional growth.
Education Requirements:
Bachelor's degree in Computer Science, Mathematics, or related fields
Experience Requirements:
At least 3 years of experience as a software engineer or machine learning engineer.
Practical experience in software development (ideally full stack) and production deployments for data-intensive or ML-based products.
An obsession with thorough AI/ML evaluation to create reliable applications.
Strong knowledge of machine learning fundamentals and deep learning frameworks (e.g., PyTorch, Transformers, Scikit-learn, NumPy, Pandas).
Work experience with software development best practices, including version control (e.g., Git), automated testing, and continuous integration/continuous deployment (CI/CD).
Other Requirements:
Experience architecting and implementing cloud data infrastructure and pipelines (Azure, AWS, and GCP)
Strong communication and collaboration skills
Responsibilities:
Hit the ground running and take ownership of strategic accounts with iconic customers.
Thoughtfully design and implement systems that leverage LLMs in a responsible and predictable manner.
Collaborate with customers to understand their challenges and pain-points, and create innovative yet practical AI solutions.
Contribute to the development of Distyl's internal platform (Distillery) for LLM application development, including designing and implementing new features and functionality.
Monitor and maintain production systems to ensure they are meeting system requirements and delivering the expected results
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Applied AI Researcher
Distyl builds trusted AI systems for Fortune 500 companies, automating core operations with rapid time-to-value using its proprietary Distillery platform.
Benefits:
An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.
Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.
Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.
Competitive salary and benefits package, including equity options and healthcare.
Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.
Experience Requirements:
Proven Track Record of Research Results
Uses AI Every Day
Strong Programming and Data Analysis Skills
Biases Towards Showing vs Telling
Responsibilities:
Define What AI Native Means for a Given Problem
Methodology Design and Validation
Consume and Publish Research
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Lead AI Engineer
Distyl builds trusted AI systems for Fortune 500 companies, automating core operations with rapid time-to-value using its proprietary Distillery platform.
Benefits:
An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.
Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.
Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.
Competitive salary and benefits package, including equity options and healthcare.
Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.
Experience Requirements:
Exceptional Software Engineering Skills
Experience with AI Systems
Strong Communication and Organizational Ability
Understanding of Enterprise Cloud Architectures
Biases Towards Showing vs Telling
Responsibilities:
Develop Production Grade AI Systems
Own End to End Delivery of Custom AI Solutions
Earn Our Customer's Trust
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Software Engineer - Front End
Distyl builds trusted AI systems for Fortune 500 companies, automating core operations with rapid time-to-value using its proprietary Distillery platform.
Benefits:
Competitive salary and benefits package, including equity options and healthcare.
Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.
Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.
Collaborative and supportive work environment, with a strong focus on personal and professional growth.
Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.
Experience Requirements:
Strong Coding Skills
User Empathy and Customer Focus
An Eye for Design
Software Architecture
Responsibilities:
Building Enterprise Grade Frontend Applications
Solution Design
End-to-End Software Ownership
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Operations Analyst
Distyl builds trusted AI systems for Fortune 500 companies, automating core operations with rapid time-to-value using its proprietary Distillery platform.
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Sr. Software Engineer (Backend)
Justwords.ai uses AI to create hyper-personalized marketing messages at scale, improving engagement and automating A/B testing.
Benefits:
Grow and learn 10X faster compared to big-tech.
Be a part of the founding team that’s shaping the future of AI+Growth.
Opportunity to work on cutting-edge technology and solve complex problems.
Get first-hand experience in building 0-1 startups alongside founders.
Be involved in critical decision-making to sustain and scale businesses
Experience Requirements:
4+ years of industry experience in backend systems, cloud architectures, and data pipelines.
Strong understanding of database design, data processing, and analytics.
Thrive in a hands-on, chaotic environment
Someone excited to be part of the 0 to 1 journey
(Good to have) Experience with A/B experimentation, contextual bandits, and Bayesian optimization methods
Responsibilities:
Help us build and scale our backend and recommendation systems from the ground up.
Bet on yourself and build expertise quickly
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Sr. Software Engineer (Frontend)
Justwords.ai uses AI to create hyper-personalized marketing messages at scale, improving engagement and automating A/B testing.
Benefits:
Grow and learn 10X faster compared to big-tech.
Be a part of the founding team that’s shaping the future of AI+Growth.
Opportunity to work on cutting-edge technology and solve complex problems.
Get first-hand experience in building 0-1 startups alongside founders.
Be involved in critical decision-making to sustain and scale businesses
Experience Requirements:
4+ years of industry experience in front-end systems.
Proficiency in JavaScript/TypeScript and modern frameworks such as React.
Solid understanding of HTML5, CSS3, and responsive design principles.
Familiarity with server-side rendering (e.g., Next.js) or static site generators.
Thrive in a hands-on, chaotic environment. Someone excited to be part of the 0 to 1 journey. (Good to have) Figma prototyping and UX experience. (Good to have) Full stack knowledge
Responsibilities:
Help us build and scale our backend and recommendation systems from the ground up.
Bet on yourself and build expertise quickly
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UX Product Designer
Justwords.ai uses AI to create hyper-personalized marketing messages at scale, improving engagement and automating A/B testing.
Benefits:
Grow and learn 10X faster compared to big-tech.
Be a part of the founding team that’s shaping the future of AI+Growth.
Opportunity to work on cutting-edge AI features and categories.
Get first-hand experience in building 0-1 startups alongside founders.
Be involved in critical decision-making to sustain and scale businesses
Experience Requirements:
2+ years of professional experience as a UX Product Designer or in a similar role, focusing on prototyping, feature exploration, and building custom demos.
Expertise in UX design tools such as Figma for creating interactive prototypes.
Strong skills in wireframing, user flow creation, and interactive prototyping.
Ability to turn fuzzy product requirements into visually appealing user flows.
Strong understanding of visual design principles, typography, color theory, and iconography with an eye for pixel-perfect execution. Ability to gather requirements in customer calls, and translate those for engineering teams. (Good to have) Experience designing data-heavy digital products
Responsibilities:
Help us shape the product experience of our lovely users from the ground up.
Bet on yourself and build expertise quickly
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Product Engineer
Justwords.ai uses AI to create hyper-personalized marketing messages at scale, improving engagement and automating A/B testing.
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Founding Product Designer
Essential AI provides full-stack AI solutions for the enterprise, focusing on natural language processing and data analysis to solve complex business problems.
Benefits:
Equity
401(k)
Health benefits
Daily onsite lunches and snacks
Experience Requirements:
6+ years of experience in building distributed and scalable backend systems
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Forward Deployed AI Engineer
Essential AI provides full-stack AI solutions for the enterprise, focusing on natural language processing and data analysis to solve complex business problems.
Benefits:
Equity
401(k)
Health benefits
Daily onsite lunches and snacks
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Member of Technical Staff: ML Infrastructure, Platform Engineer
Essential AI provides full-stack AI solutions for the enterprise, focusing on natural language processing and data analysis to solve complex business problems.
Benefits:
Equity
401(k)
Health benefits
Daily onsite lunches and snacks
Relocation assistance
Experience Requirements:
6+ years of relevant industry experience in leading the design of large-scale & production ML infra systems
Responsibilities:
Design, build, and maintain scalable machine learning infrastructure to support our model training, inference and applications
Design and implement scalable machine learning and distributed systems that enable training and scaling of LLMs
Help oversee and drive the vision of how we should build, test, and deploy models
Develop tools and frameworks to automate and streamline ML experimentation and management
Collaborate with other researchers and product engineers to bring magical product experiences through large language models
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Senior Software Engineer, Product Engineering
Essential AI provides full-stack AI solutions for the enterprise, focusing on natural language processing and data analysis to solve complex business problems.
Benefits:
Equity
401(k)
Health benefits
Daily onsite lunches and snacks
Relocation assistance
Experience Requirements:
6+ years of experience in building distributed and scalable backend systems
Responsibilities:
Collaborate with researchers and engineers to design and implement core infrastructure and systems powered by foundation models for enterprises' workflows
Explore, iterate, and build useful and elegant products that bring to life model capabilities through usable interfaces
Be deeply engaged with our customers to understand their requirements and iterate quickly with them to customize our product to their needs
Guide and impact new kinds of software enabled by LLMs to improve valuable enterprise workflows
Deploy and scale AI-powered products from the ground up while defining standards and protocols for monitoring, evaluation, security considerations, etc
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