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
AI Product Engineer
Windsurf is an AI-powered software engineering platform featuring an editor, agent, and tab completion to enhance developer productivity and streamline coding workflows.
Benefits:
Offers Equity
Experience Requirements:
Strong software engineering skills
Familiarity with AI-powered developer tools like Windsurf Plugin, Copilot, ChatGPT, and others is a strong plus
Other Requirements:
A team player and self-starter
Hunger to dream up, plan, design, build, and iterate on products independently without the guidance of a product manager or designer
Deep curiosity about the latest AI research and applications
Motivated to turn AI into a reality
Responsibilities:
Propose and build AI-powered experiences for millions of developers, including professional software engineers for Fortune 500
Interface with complex, AI-powered systems, such as context retrieval and code generation, with emphasis on delivering efficient, scalable code
Demonstrate initiative and the ability to start and make progress on projects independently
Swiftly design, track, and analyze new product experiment results
Document findings and synthesize data with a drive to consistently improve
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Software Engineer (Internal Apps)
Windsurf is an AI-powered software engineering platform featuring an editor, agent, and tab completion to enhance developer productivity and streamline coding workflows.
Benefits:
Competitive compensation and benefits package
The opportunity to work with cutting-edge internal development tools like Windsurf IDE
A collaborative and innovative work environment where your ideas matter
The chance to directly impact the productivity and success of a growing tech company
Experience Requirements:
Strong foundation in software engineering principles, with experience in full-stack development
Hands-on experience managing and configuring SaaS tools (e.g., Slack, Asana, Google Workspace, Salesforce, or similar)
Proficiency in programming languages (e.g., JavaScript, Python, or other scripting languages)
Experience with APIs and building integrations is preferred
Other Requirements:
Ability to translate business needs into technical solutions
Strong interpersonal skills to work effectively with non-technical stakeholders and gather requirements
Experience with low-code or no-code platforms is a plus
Familiarity with modern DevOps practices and tooling
Previous experience in a similar role, building internal applications or tools
Responsibilities:
Develop, deploy, and maintain internal applications using Windsurf IDE, tailored to meet the operational needs of the organization
Administer and optimize the use of various SaaS tools, integrating them into custom workflows where necessary
Collaborate with cross-functional teams to identify inefficiencies and opportunities to automate manual processes
Write clean, maintainable, and well-documented code for internal tools
Troubleshoot and resolve technical issues related to internal systems and integrations
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Software Engineer, High Performance ML
Windsurf is an AI-powered software engineering platform featuring an editor, agent, and tab completion to enhance developer productivity and streamline coding workflows.
Benefits:
Offers Equity
Experience Requirements:
Strong software engineering skills
Excellent quantitative, analytical and estimation skills
Strong grasp of computer and networking architecture, particularly with GPU hardware and HPC networks
Familiarity with AI-powered developer tools like Windsurf, Copilot, ChatGPT, and others is a strong plus
Responsibilities:
Develop custom LLM serving systems and corresponding datacenter infrastructure to deliver high model quality at very low latency and cost
Improve our LLM training software both in terms of model architecture changes that improve model quality or increase iteration speed and reliability
Build indexing systems capable of serving queries instantly from many terabytes of data within customer deployments
Contribute to infrastructure for petabyte-scale data pipelines to accelerate our ML research work
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Sr. Product Designer
Talentpair is a recruiting platform focused on creating a more sustainable, trusted, equitable, and inclusive system for companies and candidates.
Education Requirements:
Bachelor’s degree in a design related field; master’s preferred or equivalent relevant experience
Experience Requirements:
6+ years of product design experience, with a focus on mobile applications and complex software
Strong background in interaction design with a great eye for layout, typography, iconography, and color
Advanced experience with prototyping tools
Thoughtful web portfolio demonstrating passion for simple, intuitive, and beautiful design
Other Requirements:
Willing to sponsor new hires
Willing to relocate new hires
Strong user empathy
Hunger to solve problems
Excellent technical communication skills
Ability to maintain high design standards in a lean, fast-paced environment
Responsibilities:
Partner with product management, engineering, and business development on the development of new EV products.
Wireframing, prototyping, and designing end-to-end product features by using data, market research, and AB Testing.
Work with senior management and business partners at Honda as a thought leader.
Help maintain high design standards by constantly challenging the team with thoughtful critique.
Provide effective leadership as a senior member of the design team.
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Sr. Backend Engineer
Talentpair is a recruiting platform focused on creating a more sustainable, trusted, equitable, and inclusive system for companies and candidates.
Education Requirements:
Bachelor's degree
Experience Requirements:
5+ years using statically-typed languages (Java/Kotlin/Scala, C/C++, or Rust)
Experience with GraphQL APIs
Track record of shipping performant API integrations and interfaces
Experience with a major cloud provider (GCP, AWS, or Azure)
Experience architecting, building, and operating cloud-native backend services
Other Requirements:
Work Authorization Required
Willing to relocate new hires
Flexible attitude and entrepreneurial mindset
Willing to engage outside usual responsibility area
5-10% travel within the US and Asia is required
Responsibilities:
Design testable, scalable, and observable backend services for a global mobile application
Develop backend service solutions, including cloud infrastructure services selection and setup, monitoring and alerting, and integration with several 3rd-party APIs.
Work closely with Mobile App developers, 3rd party API developers, and software architects to collaborate on solutions that serve drivers with the best experience
Troubleshoot production issues, develop and release hotfixes
Contribute to CI/CD pipeline infrastructure
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Sr. DevOps Engineer
Talentpair is a recruiting platform focused on creating a more sustainable, trusted, equitable, and inclusive system for companies and candidates.
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience
Experience Requirements:
Strong Programming
Experience with AWS
Experience with Kubernetes
Experience with Terraform
Other Requirements:
Work Authorization Required
Unable to relocate new hires
Excellent problem-solving skills
Strong communication skills
Responsibilities:
Design and manage cloud infrastructure, primarily in AWS, ensuring scalability and reliability.
Deep expertise in Kubernetes for orchestrating containerized applications.
Implement CI/CD pipelines and monitoring tools (Grafana, Prometheus, Loki) for optimal performance.
Proficient in software release management and GitOps, utilizing tools like Terraform, Helm, and Flux.
Manage databases (Redis, Postgres) and container repositories for seamless integration with our platform.
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Senior Product Designer, Mobile
Intuit is a global financial technology platform offering products like TurboTax, QuickBooks, Credit Karma, and Mailchimp to help individuals and small businesses prosper.
Benefits:
Cash bonus
Equity rewards
Comprehensive benefits package
Education Requirements:
A Bachelor’s degree in Product Design, Human-Computer Interaction, Interaction Design or another relevant area of study
Experience Requirements:
4+ years of hands-on experience in interaction design, product design, service design, or a related field
Other Requirements:
A strong foundation in design principles and methodologies
A curious spirit and a dedication to testing new ideas and driving impactful business outcomes through innovation
Excellent communication, presentation, and negotiation abilities
Proven ability to articulate ideas and concepts through compelling storyboards, wireframes, and prototypes
A stunning online portfolio that showcases your design skills and collaborative process
Responsibilities:
Apply your strategic mind to design innovative, end-to-end user experiences that beautifully balance user needs, business goals, and technical possibilities across both web and mobile.
Craft intuitive user interface designs, robust architectures, and seamless functionalities, always adhering to usability best practices, design standards, and, most importantly, insights from user testing.
Generate the best creative and innovative solutions, delivering them with excellence within project timelines and scope.
Take ownership of the entire design journey, from initial concept to successful implementation and user adoption.
Be a valuable contributor to the positive culture and high-quality standards of our creative team.
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Machine Learning Engineer, Tapestry
Mineral, formerly an Alphabet company, used AI and robotics for sustainable agriculture. Their technology was acquired by Driscoll’s and John Deere in 2024.
Education Requirements:
Bachelors/Masters in Computer Science, or equivalent practical experience
Experience Requirements:
Experience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with geospatial data, graph data
5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience
3 years of experience with Python, Golang, or other equivalent languages
Responsibilities:
Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid
Explore and de-risk novel technologies to extract data from unlikely sources
Lead the design and implementation of ML data platforms and service frameworks
Design and implement robust, automated, production-level software using horizontally scalable components
Work effectively with cross-functional teams of engineers, product managers, and domain experts
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Rapid Evaluator, X
Mineral, formerly an Alphabet company, used AI and robotics for sustainable agriculture. Their technology was acquired by Driscoll’s and John Deere in 2024.
Education Requirements:
BA/BS
Masters
PhD or equivalent practical experience
Experience Requirements:
10+ years experience playing a key role in the successful development and launch of a deep tech product
Experience building innovative technologies in cross-functional & cross-technology settings
Both startup experience during various stages of the company’s growth (or lifecycle) while also having an understanding around the complexities and nuances of operating within a large corporation
Comfort and experience with ambiguous, early-stage projects. Ability to create and grow ideas into viable businesses from the chaotic ground up
Able to effectively communicate both technical and non-technical information to mixed audiences.
Responsibilities:
Proposing, assessing, and synthesising new X moonshot investigations
Develop and evolve project strategy, including offering definition / roadmap, team priorities, and go-to-market plans.
Perform techno-economic analysis and feasibility analysis
Craft moonshot proposals with technical experts
Lead small technical teams composed of internal or external experts to further the state of the art and build proof of concepts
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Business Development Executive
KLog.co is a logtech company providing a digital platform for logistics and freight management, offering solutions for importers and exporters.
Benefits:
Una oficina increíble que ocupa un piso entero.
KPeople: Bank, "Crédito 0% interés" para nuestro equipo.
KLearning, programa de educación continua.
Días libres en fechas importantes; cumpleaños, mudanza, matrimonio, etc.
Equipos de trabajo dinámicos y flexibles.
Education Requirements:
Carrera profesional relacionada a los negocios o afines. No excluyente.
Experience Requirements:
Más de 4 años de experiencia y con cartera de clientes
Other Requirements:
Conocimiento computacional, nivel usuario (Google Drive y Microsoft Office).
Responsibilities:
Llamar, captar y fidelizar nuevos clientes con reuniones semanales.
Mantener cuentas de clientes habituales.
Registrar y alimentar el CRM con información de prospectos y clientes.
Desarrollar estrategias de crecimiento para los clientes de exportación.
Dar solución a las distintas necesidades de los clientes.
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Senior Computer Vision Engineer - Photo AI - Canva Austria (m/f/x)
Visual AI tools for automatic image/video background removal and automatic designs, now part of Canva Austria GmbH. Products include remove.bg, Unscreen, and Designify.
Benefits:
Equity packages - we want our success to be yours too
Inclusive parental leave policy that supports all parents & carers
An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally
Responsibilities:
Build ML models for AI-based photo editing.
Take over project ownership responsibilities and drive projects with specialties like Frontend and Backend to success.
Stay up-to-date with the very recent advances of AI for photo editing, and you bring new ideas to the team for new AI-based features that our team should build
Improve the quality of our existing features, by improving our quality evaluation processes and by bringing new ML ideas to the team
Boost the efficiency of our existing features through code optimization, incorporating new models or Python libraries, or by re-evaluating and speeding up our full stack.
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Research Scientist
Granica helps you build and manage high quality data for AI, at scale. Granica makes your data compact, safe and powerful - so you can build AI that is safe, efficient and effective.
Benefits:
Generous 401(k) plan with matching to secure and plan for your financial future
Comprehensive premium health, dental, and vision insurance for you and your dependents
Early exercise provisions of equity options to participate in the company’s growth
Unlimited PTO to recharge and rejuvenate
Healthy lunch and dinner options catered daily at our offices
Education Requirements:
Bachelor’s degree or International Equivalent in Computer Science, Mathematics, Physics, Information Science or related field; advanced degrees a plus
Experience Requirements:
Experience with randomized algorithms, information theory, machine learning (both modeling and implementation), optimization.
Mathematical maturity in multivariate calculus, linear algebra, probability, data structures, and algorithms (at the level these tools are used in current research).
Other Requirements:
Deep familiarity with one high level programming language, such as Python (and relevant libraries, e.g. NumPy, Scipy, PyTorch) and one low-level language such as C++ or Golang.
Strong programming skills
Experience with technical writing and documentation, including academic publications
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Senior Data Engineer in Computer Vision
enliteAI is a technology provider for Artificial Intelligence specialized in Reinforcement Learning and Computer Vision/geoAI. They offer AI solutions and services.
Benefits:
International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures
Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations
Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours
Experience Requirements:
3+ years of work experience in data-driven environments
Passionate about everything related to AI, Machine Learning and Computer Vision
Other Requirements:
Python programming skills, emphasis on data engineering and distributed processing (e.g. Flask, Postgres, SQLalchemy, Airflow)
Proficiency in working with databases and data storage solutions
Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)
Familiarity with cloud environments (AWS, Gcloud, Azure)
Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)
Fluent in English both spoken and in written language.
Valid work permit for Austria
Responsibilities:
Collaborate with our machine learning and backend engineers to design and manage scalable processing pipelines in productive environments.
Implement robust processing flows and I/O-efficient data structures, powering use cases such as road surface analysis, sign detection and localization on large volumes of point cloud and imagery data.
Design and manage relevant database schemes in close collaboration with backend engineering.
Create and maintain comprehensive documentation of the processing pipelines, database schemes, configuration and software architecture.
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Senior MLOps Engineer
enliteAI is a technology provider for Artificial Intelligence specialized in Reinforcement Learning and Computer Vision/geoAI. They offer AI solutions and services.
Benefits:
International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures
Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations
Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours
Experience Requirements:
3+ years of work experience in data-driven environments
Passionate about everything related to AI, Machine Learning and Computer Vision
Other Requirements:
Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)
Familiarity with cloud environments (AWS, Gcloud, Azure)
Python programming skills, emphasis on backend related technologies (e.g. Flask, Postgres, SQLalchemy)
Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)
Data engineering knowledge (SQL databases, distributed systems)
Fluent in English both spoken and in written language.
Valid work permit for Austria
Responsibilities:
Collaborate with our machine learning engineers and data engineers to publish our models into processing pipelines and deploy to productive environments.
Design and manage our GPU & CPU server infrastructure, from on-prem Kubernetes clusters to cloud deployments.
Manage and orchestrate the data pipelines and data storage systems and associated synchronization processes for model training and execution.
Own our CI/CD pipelines (based on Gitlab)
Establish monitoring of model, pipeline and infrastructure health. Set up logging to capture relevant information for debugging and auditing.
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Senior Photonics Design Engineer, Taara
Mineral was an Alphabet project that used AI and robotics to improve agricultural practices. Its AI technology was transferred to Driscoll's and John Deere in 2024.
Benefits:
bonus
equity
benefits
Education Requirements:
M.S. in Electrical Engineering, Applied Physics or related field
Experience Requirements:
Five (5) or more years relevant industry experience of photonics integrated circuit design
Responsibilities:
Develop and implement novel photonic integrated devices and circuits.
Manage complexity and optimize large-scale layouts in advanced wafer platforms.
Contribute to system-level optimization and product strategy.
Be motivated by making the world a better place through technology, and wanting to be part of a team that makes this happen.
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Head of Communications, Tapestry
Mineral was an Alphabet project that used AI and robotics to improve agricultural practices. Its AI technology was transferred to Driscoll's and John Deere in 2024.
Benefits:
bonus
equity
benefits
Education Requirements:
BA/BS degree in a relevant field or equivalent practical experience
Experience Requirements:
15 years communications and policy communications experience
Responsibilities:
Developing and deliver an inspiring communications and communications strategy to support the team’s ambitious agenda across the world
Developing a range of communication materials to supporting Tapestry’s campaigns such as press releases, FAQs and talking points for a diverse set of press, industry and policy audiences
Working cross-functionally and with partner organizations to create, lead and execute complex multi-stakeholder communication campaigns
Building and maintaining strong relationships with members of the press, influencers, policy makers and partners, including serving as an on-record spokesperson.
Developing strategy to meaningfully engage policymakers and key opinion formers on matters affecting Tapestry’s roll out and contributions to the energy sector
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Optics Manufacturing Technical Program Manager, Taara
Mineral was an Alphabet project that used AI and robotics to improve agricultural practices. Its AI technology was transferred to Driscoll's and John Deere in 2024.
Benefits:
bonus
equity
benefits
Education Requirements:
Bachelor degree in Optics or Physics
Experience Requirements:
7+ years of experience in a Manufacturing Engineering role.
Responsibilities:
Define, build, document, train and maintain manufacturing assembly, integration and test processes and tooling for optical and opto-mechanical sub-systems to ensure they fulfill design intent, specifications and performance determined by engineering and design is successfully transferred to manufacturing.
Provide manufacturing engineering input throughout the product life cycle, driving Design for Manufacturing (DFM), Failure Modes and Effects Analysis (FMEA) activities, supporting new product introduction (NPI) builds, and ensuring sustained production quality, process, and yield for Optics integration, alignment, testing and calibration at component, module and system level.
Define and improve manufacturing procedures, make recommendations for design and/or manufacturing methods and coordinate projects which will result in economical manufacturing costs and enhanced quality.
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Operations Engineer (comma shop)
Comma.ai offers an AI upgrade for your car, providing features like lane centering, adaptive cruise, and lane changing. It works with various car models and aims to provide affordable self-driving functionality.
Benefits:
Chef-prepared lunch and dinner
On-site gym and yoga studio
24/7 access to the comma fleet of cars
Health, dental, and vision insurance
Flexible time off
Experience Requirements:
experience relevant to job offered
Responsibilities:
Own comma's daily operations around the comma shop, including supply chain, logistics, procurement, customer support, fulfillment, and more
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People Operations Engineer
Comma.ai offers an AI upgrade for your car, providing features like lane centering, adaptive cruise, and lane changing. It works with various car models and aims to provide affordable self-driving functionality.
Benefits:
Chef-prepared lunch and dinner
On-site gym and yoga studio
24/7 access to the comma fleet of cars
Health, dental, and vision insurance
Flexible time off
Experience Requirements:
experience relevant to job offered
Responsibilities:
Own comma's daily operations including employee experience, onboarding, facilities management, and fleet logistics
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Machine Learning Engineer
Comma.ai offers an AI upgrade for your car, providing features like lane centering, adaptive cruise, and lane changing. It works with various car models and aims to provide affordable self-driving functionality.
Benefits:
Chef-prepared lunch and dinner
On-site gym and yoga studio
24/7 access to the comma fleet of cars
Health, dental, and vision insurance
Flexible time off
Other Requirements:
Digital Signal Processing I
Digital Communications
Detection Theory
Responsibilities:
Research, design, develop autonomous driving algorithms and systems using end to end Deep Learning and end to end simulation.
Implement novel architectures and data pipelines to improve driving quality of openpilot - Advanced Driver Assistance System.
Analyze existing development procedures and suggest improvements.
Write software infrastructure for efficiently training and evaluating various large scale Neural Networks in largely distributed computer clusters.
Implement automated testing and monitoring of Machine Learning models deployed in the field.
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