AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Senior UX Engineer
CodeConductor AI is an AI-driven full-code platform that streamlines app development, allowing users to build, deploy, and scale web and mobile applications quickly.
Benefits:
Competitive salary and benefits package
Opportunities for growth and professional development
A dynamic and inclusive work environment
The chance to work on cutting-edge projects that impact the future of software development
Experience Requirements:
Proven experience as a UX Engineer or similar role, with a strong portfolio showcasing your UX design and front-end development work
Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular
Experience with design tools such as Sketch, Figma, or Adobe XD
Strong understanding of user-centered design principles and best practices
Ability to create wireframes, prototypes, and high-fidelity mockups
Other Requirements:
Experience in working with AI-driven platforms
Knowledge of accessibility standards (WCAG) and best practices
Familiarity with user testing tools and analytics platforms
Responsibilities:
Design and implement user interfaces that are intuitive, efficient, and engaging
Collaborate with designers, product managers, and developers to translate user needs and business requirements into interactive and functional user interfaces
Conduct user research, usability testing, and feedback analysis to inform design decisions
Ensure all UI/UX designs adhere to best practices in accessibility, scalability, and responsiveness
Develop and maintain design systems and documentation to ensure consistency across the platform
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Product Engineer
Devin is the world's first AI software engineer, designed to be a collaborative AI teammate that helps engineering teams achieve more on complex tasks.
Other Requirements:
GitHub Profile
Design Portfolio
Share something you've designed and built that you’re most proud of
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ML Research Engineer (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
Competitive compensation
including an early-stage startup equity package
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.
Translating complex theoretical insights into scalable, efficient coding implementations.
Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.
Building robust experimentation platforms for large-scale training and evaluation of models.
Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.
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Founding Software Engineer – GPU & Compilers (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
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Full Stack Engineer
Auditoria SmartBots transform finance operations with AI Agents, automating tasks and enhancing team collaboration in areas like Accounts Receivable and Payable.
Benefits:
competitive startup salaries
early-stage stock
unlimited vacation
medical/dental benefits
flexible work environment
Education Requirements:
Holds a BS or MS degree in Computer Science or a closely related Engineering discipline.
Experience Requirements:
3+ years of hands-on professional experience in the design, development, and successful deployment of intricate software systems, maintaining a benchmark of excellence.
Responsibilities:
Leadership in Product Development: Take charge of crafting and developing the critical components of Auditoria’s offerings, utilizing state-of-the-art technology within the AWS cloud ecosystem.
Cross-Functional Collaboration: Engage in cohesive teamwork across various departments and time zones, ensuring the delivery of high-quality solutions aligned with our strategic roadmap.
Business Partnership: Forge meaningful partnerships with business units to consistently deliver added value to our clientele.
Cultural Advocacy: Act as a stalwart promoter of the principles and technological ethos that define Auditoria.
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AI Growth Engineer
Arize AI provides an AI observability platform for building and deploying high-performing AI applications, focusing on tracing, evaluation, and troubleshooting.
Benefits:
Comprehensive health, dental & vision plans
Flexible paid time off
401K plans
Remote-friendly
Commuter benefits
Experience Requirements:
3+ years experience working as a Developer Advocate, Data Scientist, AI/ML Engineer, Solutions Engineer, or technical Product Manager/Marketer
Other Requirements:
Working knowledge of generative AI, machine learning, and data science
Technical experience with the LLM app development stack (e.g. agents, orchestration frameworks, vector databases, evaluation libraries) with proficiency in Python
Engaged in technical communities via GitHub, Medium, DZone, Stack Overflow, Reddit, LinkedIn, etc.
A data-driven creative who thrives in ideating and delivering on novel activities that earn the attention and trust of AI/ML practitioners
A self-learner who isn’t daunted by technical complexity and welcomes the challenge to develop their own POV
Excellent written and verbal communication
Willingness to attend evening meetups and events in the SF Bay Area
Responsibilities:
Create visibility of Arize and Phoenix content through thought-provoking daily technical content that is pushed out through AI community whether twitter, linkedin and reddit
Build connections to Arize and Phoenix through viewership and consumption of AI related materials
Build research, content and video snippets that resonate in the AI community and are related to Arize in areas of Evaluation, AI Assistants, AI Agents and AI Applications.
Write code, build AI applications and write cookbooks that demonstrate the Arize product lines or other ecosystem tools that can be spread in the AI community
Write the book on AI social marketing on how to turn consumption of AI content into OSS product usage & awareness
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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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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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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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Sales Engineer
MindsDB is an AI platform providing both a turnkey solution and an open-source engine for building enterprise-grade AI applications and agents, enabling seamless data integration and processing.
Benefits:
Remote and Hybrid Roles
Flexible Working Hours
Competitive Compensation
Competitive Medical, Dental, Vision, Life Insurance
401k with up to 6% matching
Education Requirements:
BA/BS degree, preferably in computer science or a related field
Experience Requirements:
3-7 years in a solutions engineering or architect role or equivalent
SQL expertise
Other Requirements:
Enjoys working with customers
Ability to travel up to 15% of the time for face-to-face meetings
Scrappiness, independence, end-to-end project ownership
Responsibilities:
Embedding within the business development team to serve as a technical thought partner in the sales process
Providing technical expertise and insights during the sales process and presenting MindsDB as a solution
Demonstrating MindsDB’s capabilities to potential customers in a way that is tailored to their specific workflow, IT architecture, and requirements
Leading technical discovery sessions to understand alignment and disconnects with the MindsDB solution
Answering technical questions from prospects
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Applied ML Engineer
MindsDB is an AI platform providing both a turnkey solution and an open-source engine for building enterprise-grade AI applications and agents, enabling seamless data integration and processing.
Benefits:
Flexible Working Hours
Competitive Compensation
Competitive Medical, Dental, Vision, Life Insurance
401k with up to 6% matching
Unlimited PTO
Education Requirements:
BA/BS degree, preferably in computer science or a related field
Experience Requirements:
3-7 years in a solutions engineering or architect role or equivalent
SQL expertise
Other Requirements:
Enjoys working with customers
Ability to travel up to 15% of the time for face-to-face meetings
Scrappiness, independence, end-to-end project ownership
Responsibilities:
Embedding within the business development team to serve as a technical thought partner in the sales process
Providing technical expertise and insights during the sales process and presenting MindsDB as a solution
Demonstrating MindsDB’s capabilities to potential customers in a way that is tailored to their specific workflow, IT architecture, and requirements
Leading technical discovery sessions to understand alignment and disconnects with the MindsDB solution
Answering technical questions from prospects
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Event Manager
DeepLearning.AI provides online AI and machine learning education, featuring courses, a newsletter, community, and job opportunities.
Benefits:
Possibility of transition to long-term contractor or employee position
Experience Requirements:
3+ years’ experience planning and producing end-to-end for physical industry events
Experience with Hubspot (a plus)
Experience with monitoring, analyzing, and reporting on performance
Other Requirements:
Strong project management and collaboration skills
Responsibilities:
Develop and oversee all aspects of the event program
Manage end-to-end production of large-scale conference
Lead production, logistics, and communications
Oversee event marketing budget
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Senior Product Manager
CentML accelerates AI deployment and inference, optimizing GPU infrastructure and reducing LLM serving costs. They offer developer and enterprise plans.
Benefits:
Full health and dental benefits
Parental leave top-up for 6 months
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Enterprise Account Manager
Findem is an AI-powered talent acquisition platform using 3D data to automate workflows and provide insights for better people decisions.
Benefits:
Health benefits
401K plan
Company equity
Remote-first
Flexible PTO
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Technical Program Manager
Findem is an AI-powered talent acquisition platform using 3D data to automate workflows and provide insights for better people decisions.
Benefits:
Health benefits
401K plan
Company equity
Remote-first
Flexible PTO
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Principal Product Manager
Findem is an AI-powered talent acquisition platform using 3D data to automate workflows and provide insights for better people decisions.
Benefits:
Health benefits
401K plan
Company equity
Remote-first
Flexible PTO
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Director, Product Management
Findem is an AI-powered talent acquisition platform using 3D data to automate workflows and provide insights for better people decisions.
Benefits:
Health benefits
401K plan
Company equity
Remote-first
Flexible PTO
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Product Marketing Manager
The world's first real-time answer engine providing instantaneous answers with reliable sources.
Benefits:
Healthcare benefits
401(k) contributions
Education Requirements:
10+ years in product marketing
Responsibilities:
Develop marketing strategies
Collaborate with cross-functional teams
Lead campaigns
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AI Inference Engineer
The world's first real-time answer engine providing instantaneous answers with reliable sources.
Benefits:
Comprehensive health coverage
401(k) plan
Education Requirements:
Bachelor's degree in Computer Science or related field
Experience Requirements:
4+ years of experience in ML systems
Responsibilities:
Develop APIs for AI inference
Resolve system bottlenecks
Improve reliability and observability
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Machine Learning Engineer - AI Engagement
The world's first real-time answer engine providing instantaneous answers with reliable sources.
Benefits:
Full health coverage
Unlimited PTO
401(k) matching
Education Requirements:
Bachelor's degree in relevant field
Experience Requirements:
2+ years in relevant projects
Responsibilities:
Develop engaging AI content
Collaborate cross-functionally with teams
Optimize machine learning algorithms
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