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  • Natural Language Processing Engineer

    San Francisco, CA United States

    001 calendar 6 Mar 2020 Full Time

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    We are looking for full-time engineers/interns for research and development in natural language processing, machine learning and artificial intelligence for creating innovative educational technology.

    Responsibilities: 

    • Design and implement the conversational dialog system for educational applications
    • Develop algorithms for semantic modeling of natural language data
    • Write scripts and tools to scale the operations 

    Experience:

    • Natural language processing/understanding/generation 
    • Syntactic and semantic analysis 
    • Machine learning 

    Qualification:

    • BS, MS or PhD in computer science or related discipline 
    • Strong background in statistical modeling, NLP and machine learning 
    • Proficiency with Python, Shell scripting, Databases, Git, AWS EC2 
    • Strong written and verbal communication skills 
    • Interest in the mission to improve education system 

    Please submit your application with latest CV to [email protected]  

    About Cognii

    Cognii is a leading provider of conversational AI based educational technologies. Cognii's award-winning Virtual Learning Assistant engages students in a natural language tutoring dialog and provides automatic grading to their written answers. Located in downtown San Francisco, Cognii offer a unique opportunity to advance your career in AI, build leadership skills, and participate in the startup growth journey. Compensation includes a salary, benefits, and equity. Cognii is an equal opportunity employer.

    Apply now
  • Software Development Engineers (ML)

    Atlanta, GA United States

    Full Time

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    Currently, we’re looking to hire two full-time Software Development Engineers (ML). Titles can be arbitrary, so you should consider yourself a good fit for this if:

    You enjoy solving hard technical problems at scale.

    You’re comfortable proposing end-to-end technical architectures that balance modularity, scalability, operations, security, and cost.

    You’re fluent in the AWS stack. This does not mean you understand every AWS service or that you have an AWS certification, but it does mean that you could independently design and build a distributed API within AWS that reflects modern best practices.

    You understand that clarity and simplicity -- in code and in communication -- are worth striving for.

    You have at least a passing familiarity with machine learning, and an interest in developing your skills there.

    As a distributed team, some key qualities are particularly important for all of us at Hop Labs:

    A strong sense of ownership and initiative

    Clear and consistent communication

    A collaborative mindset

    Clear thinking and attention to detail for complex projects

    For this role specifically:

    Open to all backgrounds, though machine-learning background preferred

    Intermediate to senior level preferred

    Location preference: in or near Atlanta, but remote is possible

    U.S. work authorization necessary

    And if you’re not sure you’re a good fit -- apply anyway! You will not be wasting our time, we will not think poorly of you -- some of our best folks have come from surprising backgrounds. We have made an effort to introduce a hiring process that is low-pressure and skills-focused, and compatible with the other commitments in your life.

    Apply now
  • Research Internships

    San Francisco United States

    Full Time

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    We have some openings for summer and year-round internships at Fujitsu Labs in the San Francisco Bay Area. Areas of interest include applications of ML to Graph data, Healthcare and Wellness (esp. mental health), Food, Education, Personal Finance, and other domains with direct impact on us. Underlying techniques include AI Transparency (Explainability, Accessibility, Interactivity), Bias and Fairness, Graph ML, NLP, Topological Data Analysis, RL, Structure-sensitive learning, and several relevant subfields of Cognitive Science. Some of our recent work is at http://transparentai.net/ and we are always exploring new problems and techniques. If this sounds interesting, send a note with your interests and background to [email protected] and feel free to message members from Fujitsu Labs.

    Apply now
  • Research Scientists and Engineers

    San Francisco United States

    Full Time

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    Do you like working on hard and amazing problems that impact our experience as people? We have some openings for research scientists and engineers at Fujitsu Labs in the San Francisco Bay Area. Our lab sits at the intersection of the Computing and the Cognitive Sciences. Areas of interest include applications of ML to aspects of Prosperity such as Healthcare and Wellness (esp. mental health), Food, Education, Personal Finance, and other domains with direct impact on us. Underlying techniques include AI Transparency (Explainability, Accessibility, Interactivity), Bias and Fairness, Graph ML, NLP, Topological Data Analysis, RL, Structure-sensitive learning, and several relevant subfields of Cognitive Science. Some of our recent work is at http://transparentai.net/ and we are always exploring new problems and techniques. If this sounds interesting, send a note with your interests and background to [email protected]

    Apply now
  • Applied Scientist

    Montreal Canada

    Full Time

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    The Samasource R&D department is responsible for our AI data annotation platform called Samahub. Samahub is an on-line platform connecting Data Scientists with our ecosystem and community of agents to seamlessly receive, process and deliver high quality training data to our customers.

    As an Applied Scientist in our Machine Learning group, you will use your outstanding research and development skills to deliver compelling machine learning and computer vision solutions for the top Fortune 500 companies.

    Key Responsibilities:

    You will be responsible for developing and improving our technology to detect and track objects on images, videos and Lidar systems You will drive forward our computer vision and machine learning technology offering, from research to productization Through proper implementation and delivery, you will work collaboratively with Product Management and other ML scientists to deliver the best products and solutions to our customers.

    Apply now
  • Senior Software Engineer

    Montreal Canada

    Full Time

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    With a commitment to the success of our customers, you will use your outstanding development skills to deliver compelling solutions powering the next generation of ML modeling in an incremental, lean, and self-driven environment. You will own all aspects of software development: design, quality, and delivery. Through proper planning and delivery, you will collaboratively work with Product Management and your scrum team to deliver the best products and features to our customers.

    Minimum Qualifications:

    7y+ hands-on software development experience OOD/OOP software engineering experience. Think in terms of Incremental delivery and experience in Agile development Experience with designing and implementing SOA Understanding web application development and the ability to explain the strengths and weaknesses of one design choice over another. Experience with the following technologies: At least one modern language/framework on the back end (Rails, Node, Golang, C#, Java) HTML5, CSS3, REST Frontend frameworks (Angular, React, Vue.js) Experience building front end applications Be able to design, develop, test, and optimize web applications

    Apply now
  • Senior Applied Scientist

    Montreal Canada

    Full Time

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    The Samasource R&D department is responsible for our AI data annotation platform called Samahub. Samahub is an on-line platform connecting Data Scientists with our ecosystem and community of agents to seamlessly receive, process and deliver high quality training data to our customers.

    As a Senior Applied Scientist in our Machine Learning group, you will use your outstanding research and development skills to deliver compelling machine learning and computer vision solutions for the top Fortune 500 companies.

    Key Responsibilities:

    You will be responsible for developing and improving our technology to detect and track objects on images, videos and Lidar systems You will drive forward our computer vision and machine learning technology offering, from research to productization Through proper implementation and delivery, you will work collaboratively with Product Management and other ML scientists to deliver the best products and solutions to our customers.

    Apply now
  • Product Marketing Manager

    Montreal Canada

    Full Time

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    We’re looking for a superstar Product Marketing Manager that has experience shaping the voice of a product and growing a loyal customer base. This is a dynamic, highly visible role. You’ll lead all aspects of the product journey, including: determining positioning, naming, competitive analysis, and external communications. You’ll be deeply involved in feature prioritization, working with the product management team to ensure the voice of the customer is heard.

    Key Responsibilities:

    Collaborate with Product Managers to help shape the product roadmap, then translate the roadmap, features, and functionality to compelling customer facing communications Develop product positioning and messaging that speaks to our customers Be a product evangelist, including presenting at conferences and in customer meetings Partner with Product and Sales teams to develop impactful materials that help the Sales team better position our product against competitors Work with Content Marketing to build sales and marketing assets that eloquently demonstrate our solution’s value Rely deeply on data-driven decision making for continuous optimization and maximizing growth Collaborate across teams and manage multiple projects simultaneously Exercise a customer and market-driven mindset Resonate with our Samasource values: Grit, Integrity, GTD (Getting Things Done), and Humanity Bring our technology to life

    Apply now
  • Lead Software Engineer

    Montreal Canada

    Full Time

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    The Samasource R&D department is responsible for our AI data annotation platform called Samahub. Samahub is an on-line platform connecting Data Scientists with our ecosystem and community of agents to seamlessly receive, process and deliver high quality training data to our customers. In this position, you will be working closely with our product management team and R&D leadership team in designing and delivering the most efficient and compelling solution for AI training data. You will also be the technical leader in your team and will mentor the team to help them reach their full potential.

    Key Responsibilities:

    You will own one or multiple areas of our platform such as Customer APIs, Project templating, Distribution workflows and Delivery services. Collaborate closely with our product management team to design and orchestrate the development of new features on our platform by turning high level feature descriptions to integrated service designs and implementation. Through your incredible technical and interpersonal skills you will Inspire and mentor your team throughout the development and product delivery.

    Apply now
  • Senior Scientist, Radio & Music Informatics Science

    San Francisco United States

    Full-Time

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    In this role you'll be working on a team designing, building, and testing the next innovations that will delight millions of listeners. You will have access to billions of hours of music listening history across hundreds of millions of listeners who have provided a hundred billion thumbs on their stations and playlists. And truly unique to SiriusXM + Pandora, you'll be working with extremely rich and diverse interlinked music metadata, including annotations of our expert musicologists with the Music Genome Project's 450+ musical characteristics. With these resources at your fingertips, we want your help to make sure we always pick that perfect next song for our listeners, tuned to the moment they are in.

    Duties and Responsibilities:

    • Design, build, and A/B-test improvements and innovations to SiriusXM + * Pandora's algorithmic radio and playlist products.
    • Improve upon SiriusXM + Pandora's content understanding capabilities through audio and metadata analysis.
    • Analyze listener history to model taste and habits.
    • Partner closely with product, analytics, and engineering
    Apply now
  • Lead Applied Scientist

    Montreal Canada

    Full Time

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    The Samasource R&D department is responsible for our AI data annotation platform called Samahub. Samahub is an on-line platform connecting Data Scientists with our ecosystem and community of agents to seamlessly receive, process and deliver high quality training data to our customers.

    As a Lead Applied Scientist in our Machine Learning group, you will use your outstanding research and development skills to deliver compelling machine learning and computer vision solutions for the top Fortune 500 companies.

    Key Responsibities:

    • You will be responsible for developing and improving our technology to detect and track objects on images, videos and Lidar systems
    • You will drive forward our computer vision and machine learning technology offering, from research to productization
    • Through proper planning and delivery, you will work collaboratively with Product Management and other ML scientists to deliver the best products and solutions to our customers.
    Apply now
  • Machine Learning Scientist - Investments AI

    London United Kingdom

    Full-Time

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    Investments AI team at AIG develops AI-first products and services (apps and solutions that use machine learning to inform and assist their users) for the Investment arms of AIG. This is mainly achieved through:

    Incubation of disruptive innovation (via scientists, engineers and designers working together) Machine learning R&D (and publication in top AI/ML conferences and journals) Provision of machine-learning advisory / consulting to AIG's global businesses.

    The resulting solutions aim to optimize the Investments process by embracing innovation and integrating advanced methods and technologies currently disrupting our industry, such as AI, digital transformation and alternative data, in order to improve investment decision making, performance, and risk management.

    As a critical role in Investments AI's success, we are looking to hire Machine Learning Scientists to join our team and contribute to the development and implementation of the algorithmic core of a series of exciting new products / projects.

    We are currently hiring Machine Learning scientists across following themes:

    • Natural Language Processing (NLP)
    • Deep Reinforcement Learning, Unsupervised Learning, and Generative models
    • Computer Vision
    • Recurrent Neural Networks, Sequence Learning and Sequence Analysis
    • (Self-)Attention models.
    Apply now
  • (Senior) Clinical Data Scientist - Biostatistician

    South San Francisco USA

    Full-Time

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    The Opportunity: Key to insitro’s approach to rethinking drug development is linking in vitro cellular phenotypes with patient phenotypes. As a Clinical Data Scientist, you will lead the development of cutting edge statistical approaches and workflows to analyze large-scale human cohorts with high-dimensional, multi-modality, longitudinal, clinical and phenotypic data. You will work with clinical data from both registrational randomized clinical trial, and data from large public cohort, such as the UK Biobank. You will use statistical analysis that involve integration of clinical and genomic data to find signatures in the data that will guide in vitro disease model development. You will also work closely with a cross-functional team of life scientists, statistical geneticist, bioengineers and machine learning scientists to integrate human level data with our high-throughput in-house in vitro genomic and phenotypic data to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.

    You will be joining as the founding team of a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

    About You:

    • Ph.D. in statistics, epidemiology, genetics, computational biology or a related discipline, or equivalent practical experience.

      • 3 years hands on experience with clinical and genomic data analysis
    • Demonstrated ability to use and develop cutting edge methods for analyzing clinical and genomic data

    • Strong fundamentals in applied multivariate statistics; experience working with statistical models for complex datasets, effectively measuring goodness of fit and estimating confidence

    • Proven knowledge of longitudinal data analysis

    • Knowledge of ICH-GCP and other relevant standards and guidelines

    • Proficiency in working with large-scale datasets in Python; experience with R is a plus

    • Experience working with SAS and ADaM files

    • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions

    • Passion for making a difference in the world

    Apply now
  • (Senior) Genomic Data Scientist - Computational Biologist

    South San Francisco USA

    Full-Time

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    The Opportunity: Key to insitro’s approach to rethinking drug development is the production of high quality genomic data and its integration with patient genotypes and molecular phenotypes. As a Genomic Data Scientist, you will lead the development and application of cutting edge approaches and workflows to analyze multi-dimensional, multi-modality genomic data. You will work with high quality functional genomic data such as bulk and single-cell RNA-seq and ATAC-seq of cells from diverse genetic backgrounds under multiple genetic and chemical perturbations. You will also analyze whole-genome and whole-exome NGS sequencing data to characterize patients and cell lines. You will play a key role in helping develop and refine novel functional genomics assays and sequencing data pipelines. You will work closely with a cross-functional team of life scientists, bioengineers and machine learning scientists to design and analyze our in-house experiments to collect high-throughput in vitro genomic data. You will also analyze human level data from clinical trials (including genetics, transcriptomics and pathology) and integrate it with our in-house genomic data to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.

    You will be joining as the founding team of a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

    About You:

    • M.S. or Ph.D. in computational biology, genetics or a related discipline, or equivalent practical experience

    • 3-5+ years demonstrated experience using and developing cutting-edge methods for analyzing NGS sequencing datasets, including both variant calling from WGS/WES and extracting signal from functional genomic assays (RNA/DNase/ATAC/ChIP-seq, etc)

    • Experience with modeling sequencing artifacts (e.g. GC content, fragment length bias, overdispersion, etc.) and interpretation of QC measurements to guide assay development

    • Significant expertise with NGS data processing tools (samtools, GATK, IGV, etc)

    • Experience working with large numbers of samples and modern workflow management frameworks (Snakemake, Cromwell/CWL/WDL, NextFlow, etc) running on either HPC systems (e.g. using SLURM) or on cloud services (e.g. AWS or GPC)

    • Strong fundamentals in applied multivariate statistics

    • Proficiency in working with large-scale datasets in Linux/Bash and Python; experience with R, C/C++ or other compiled, statically typed languages is a plus

    • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions

    • Passion for making a difference in the world

    Apply now
  • (Senior) Machine Learning Scientist - Computer Vision / Microscopy

    South San Francisco USA

    Full-Time

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    The Opportunity: Imaging based high content phenotyping is at the heart of insitro’s efforts to rethink drug development. Our goal is to use Machine Learning to extract disease phenotypes from high throughput microscopy image datasets of cellular disease model systems and learn connections to patient disease phenotypes. As a Machine Learning Scientist with expertise in microscopy image analysis you will lead the development of cutting edge ML approaches to analyze data from multiple microscopy technologies and platforms. You will integrate in vitro imaging data produced in our lab with imaging studies of large-scale human cohorts to extract insights about disease mechanisms. You will also work closely with a cross-functional team of life scientists, bioengineers and machine learning scientists to integrate imaging data with other data modalities (such as clinical data and transcriptomics) to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.

    You will be joining as the founding team of a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

    About You:

    • Ph.D. in computational biology, computer science or a related discipline, or equivalent practical experience

    • Demonstrated ability to use and develop cutting edge methods for analyzing imaging data

    • Extensive hands on experience working with microscopy data or similar biomedical or biophysical imaging modalities

    • Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation)

    • Experience applying or developing computer vision models using modern deep learning frameworks (TensorFlow, PyTorch, Keras, etc)

    • Proficiency in working with large-scale image datasets in Linux/Bash and Python

    • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions

    • Passion for making a difference in the world

    Apply now
  • Machine Learning Engineer / Senior Machine Learning Engineer

    South San Francisco USA

    Full-Time

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    The Opportunity: Machine learning lies at the core of insitro’s approach to rethinking drug development. As a machine learning engineer, you will lead the development of cutting edge machine learning methods that solve key problems in the drug development process. You will work closely with a cross-functional team of life scientists, bioengineers, and data scientists to identify areas where machine learning can make a difference, to conceptualize and develop biological datasets using cutting edge, high throughput platforms, and to analyze these data sets using the best machine learning methods, applied at scale. You will need to come up with novel methods that use a broad spectrum of machine learning approaches, including techniques at the forefront of the field. We aim to develop large data sets, and apply cutting edge machine learning methods; hence, you will need to develop and deploy machine learning methods at scale. You will work as part of a team to rigorously analyze our data, pull out key insights, and make accurate predictions that will let us quickly develop drugs that have high efficacy and low toxicity. You will be joining as the founding team of a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

    About You: * BS, MS, or Ph.D. in computer science, statistics, mathematics, physics, engineering, or equivalent practical experience * Expertise in one or more general-purpose programming languages (such as Python, C/C++, or Scala) * Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs) * 4+ years of real-world work experience in software development for high-end machine learning algorithms * Significant experience with at least one high-end ML development environment (Tensorflow, Pytorch, Caffe, etc.) * Demonstrated ability to develop novel machine learning methods that go beyond putting together of existing code, and to apply problem-solving skills to complex issues * Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions * Passion for making a difference in the world

    Apply now
  • HPC Systems Engineer

    San Francisco USA

    Full-Time

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    Lambda's mission is to accelerate human progress with computation. Our Deep Learning workstations, servers, and cloud services power ML engineers at the forefront of AI research, fueling advancements in quantum computing, cancer detection, autonomous aircraft, drug discovery, self driving cars, and much more.

    Lambda provides Artificial Intelligence and Machine Learning infrastructure to organizations like Apple, Intel, Microsoft, Amazon Research, Tencent, Kaiser Permanente, MIT, Harvard, Stanford, Caltech and the Department of Defense.

    About the Role: As a Systems Engineer at Lambda, you will help design multi-million dollar clusters for the Fortune 500, DoD, and major research institutions.

    What You’ll Do:

    • Leverage your engineering expertise in enterprise sales situations, enabling Lambda to cultivate future solution sales with existing customers and to secure new ones.
    • Listen to our customers’ requirements as provided by their Engineers, Data Scientists, and Machine Learning researchers.
    • Engineer tailored solutions based on those requirements.
    • Work alongside our sales and engineering team to deliver a complete solution for the customer.
    • Engage across the org during all phases of the strategic sales lifecycle
    Apply now
  • Senior Software Engineer - Full Stack

    San Francisco USA

    Full-Time

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    Lambda's mission is to accelerate human progress with computation. Our Deep Learning workstations, servers, and cloud services power ML engineers at the forefront of AI research, fueling advancements in quantum computing, cancer detection, autonomous aircraft, drug discovery, self driving cars, and much more.

    Lambda provides Artificial Intelligence and Machine Learning infrastructure to organizations like Apple, Intel, Microsoft, Amazon Research, Tencent, Kaiser Permanente, MIT, Harvard, Stanford, Caltech and the Department of Defense.

    About the Role:

    Lambda is growing! Come work at a profitable startup where we’re building powerful research computers and software for Machine Learning and Artificial Intelligence experts around the world.

    We're hiring a Senior Software Engineer to work on our e-Commerce platform, internal systems for manufacturing execution, and beyond.

    What You’ll Do:

    • Implement and maintain new features used by both external and internal customers.
    • Uphold Lambda's high standards in security, software architecture, engineering, and privacy.
    • Work along the entire stack including Database, ORM, Frontend, Backend, API integration, HTML/CSS, Javascript, system administration.
    Apply now
  • Software Engineer - Full Stack

    San Francisco USA

    Full-Time

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    Lambda's mission is to accelerate human progress with computation. Our Deep Learning workstations, servers, and cloud services power ML engineers at the forefront of AI research, fueling advancements in quantum computing, cancer detection, autonomous aircraft, drug discovery, self driving cars, and much more.

    Lambda provides Artificial Intelligence and Machine Learning infrastructure to organizations like Apple, Intel, Microsoft, Amazon Research, Tencent, Kaiser Permanente, MIT, Harvard, Stanford, Caltech and the Department of Defense.

    About the Role:

    Lambda is growing! Come work at a profitable startup where we’re building powerful research computers and software for Machine Learning and Artificial Intelligence experts around the world.

    We're hiring Software Developers to work on our growing virtual workstation platform. This position will have initially mostly front end and some devops responsibilities, but integration with our backend effort will be critical moving forward.

    Accepting early-career to senior level experience levels, the framework will be Elixir (Phoenix/LiveView). Experience with this framework or ROR/React preferred, Angular/Django experience with an openness to ramping up on other technology stacks is also useful.

    What You’ll Do:

    • Implement and maintain new features used by customers
    • Help develop coherent deployment strategies that preserve reliability and uptime
    • Help research and implement security best practices for orchestrating virtual workstations in multiple data centers
    Apply now
  • Head of Research (m/f/x)

    Berlin Germany

    Full-Time

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    SUMMARY We are looking for someone with a proven track record to lead our research team as we build the standard infrastructure layer for conversational AI.

    ABOUT THIS ROLE Your team will help improve our open source software, which is used by thousands of developers all over the world. You will work with the founders to set the research agenda, and lead the team that executes on it. Our research team will grow significantly in the next 12 months, so you will be recruiting researchers, mentoring them, and setting goals. You’ll be in charge of our collaborations with academic groups: creating new collaborations and choosing which projects we collaborate and which we keep in-house.

    Research at Rasa exists to give developers better tools to build conversational AI, so it's firmly part of our product team. We don’t draw a hard line between our research and engineering: we all work on the same stack and share work, knowledge, and tools. The driver for our research is this: what would help developers build great text and voice-based assistants? How can we enable them to build things that are currently out of reach? The primary outcome of our research is new features in the open source Rasa Stack. Writing papers is important, but for us it’s a side-effect of building great products.

    ABOUT YOU You are excited about seeing your research implemented in a real-world product.

    You have a proven publication record in NLP and/or dialogue systems.

    You have demonstrable experience mentoring researchers and setting research directions.

    You take pride in teaching and learning from teammates, and enjoy constructive peer review in a respectful environment.

    You can effectively communicate what you’re working on with team members across all areas of the company—from marketing and business development to UX design.

    THINGS YOU WILL DO We’re a startup, so you’ll have to be comfortable rolling up your sleeves and doing whatever is required to support our mission. However, you can definitely expect to:

    Take input from the community and our product team to shape our research agenda.

    Take research from an initial idea all the way to a merged PR in our open source libraries.

    Recruit and mentor researchers

    Lead academic collaborations and forge new ones

    WHAT YOU CAN EXPECT FROM US • Flexible hours, work from home when you need to 1000 Euro’s personal development fund to help you grow within your role • 26 days paid holiday per year • A new Macbook, and other Tech to help you to do your job • Your choice of snacks, fresh fruits + drinks at the office • We have regular team events, as well as regular social events • 2 team offsites every year, our last one was 3 days in beautiful Brandenburg.

    ABOUT US At Rasa, we're building the standard infrastructure for conversational AI. With over 1.5 million downloads since launch, our open source tools are loved by developers worldwide, and Rasa runs in production everywhere from startups to Fortune 500s. Our friendly community is growing fast, with developers from all over the world learning from each other and working together to make text- and voice-based AI assistants better.

    Rasa's machine learning-based dialogue tools allow developers to automate contextual conversations. What are contextual conversations? Real back-and-forth dialogue that is handled seamlessly. Taking AI assistants beyond fixed question / answer pairs creates exciting new use cases for people and business. The tip of the iceberg includes automation of sales & marketing, internal processes, and advanced customer service that integrates into existing backend systems. With Rasa, companies control their own destiny, investing in AI that they own and ship instead of relying on third parties.

    Rasa has raised $14 million in total funding from Accel, Basis Set Ventures and open source founders such as Ross Mason (MuleSoft), Mitchell Hashimoto (Hashicorp) and Florian Leibert (Mesosphere). The company is headquartered in San Francisco, CA, with R&D offices in Berlin, Germany and was founded in 2016.

    Rasa is an equal opportunity employer. We are still a small team and are committed to growing in an inclusive manner. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.

    Apply now

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