AI Jobs

Education Requirements:

• Master’s degree, or foreign degree equivalent, in Business Analytics, Statistics, Mathematics, Computer Engineering, or a related field

Experience Requirements:

• 4 years of experience in Machine Learning, Data Analytics, and Visualization.

• 4 years of experience creating Machine Learning pipelines and optimization

• 4 years of experience using open-source programming languages for large scale data analytics, including data handling and machine learning packages.

• 4 years of experience in creating machine learning models and strategies

• 1 year of experience in AI research and deep learning

Other Requirements:

• Employer will only employ those who are legally authorized to work in the United States for this opening.

• Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable).

Responsibilities:

• Build advanced machine learning models, including deep learning models, gradient boosting machines, time series models, statistical models and clustering analysis based on project requirements.

• Check model stability, model optimization and model performance measurements and perform exploratory data analysis, feature selection, and data visualization.

• Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions.

• Develop frameworks for tracking and measuring results produced by analytics models.

• Research new machine learning techniques and advanced analytics solutions and implement them on Ether, our Machine Learning and Artificial Intelligence based platform.

Benefits:

• International team

• Fully remote company

• Fun team building events

• Flexible working time

• Home office budget up to €1500

Experience Requirements:

• 5+ years of experience as a Data Scientist or Machine Learning Engineer

• Proficiency in Python, including experience with libraries such as Scikit-Learn, NumPy, Pandas, and PyTorch/TensorFlow

• Proficiency in SQL and experience working with data warehouses (e.g., Snowflake, GCP)

• Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques

• Experience with cloud platforms for model training and deployment

Other Requirements:

• Analytical mindset

• Strive to understand business challenges and leverage ML to solve them

• Stay calm in the face of challenges and have an infectious, can-do attitude to solving problems

• Aptitude for digesting complex ML concepts and effectively communicating them to both technical and non-technical audiences

• Team player with high integrity - you can remain flexible as we grow

Responsibilities:

• Define and evolve our infrastructure to allow for better ML capabilities

• Identify, source, and refine datasets to allow tuning models and create ML opportunities

• Pre-process data by using techniques such as data cleaning, feature engineering, and transformation

• Train, evaluate, and deploy machine learning models up to production

• Monitor, debug, and continuously improve deployed models

Benefits:

• Competitive compensation and comprehensive benefits package

• Opportunity to contribute to cutting-edge computer vision projects

• Engage in a collaborative and innovative work environment

• Access to professional growth and development opportunities

• Potential for flexible work hours (if applicable)

Experience Requirements:

• Prior experience with at least 3 years in data annotation or related fields is a desirable asset

• Knowledge on how to use Computer Vision Annotation Tool (CVAT) for solving different data annotation challenges

Other Requirements:

• Familiarity with computer vision concepts and terminology

• Exceptional attention to detail, with an unwavering commitment to maintaining the highest levels of accuracy

• Capability to excel both as an independent contributor and as a collaborative team member

• Strong interpersonal and communication skills

• Adaptability and resilience in dynamic, fast-paced environments

Responsibilities:

• Annotate and label various data types, including images, videos, point clouds

• Ensure the quality and accuracy of annotations, preventing errors that could compromise the effectiveness of machine learning algorithms

• Uphold consistency in annotations, make sure all the annotations follow the same rules and guidelines

• Perform data pre-processing (resizing images, standardizing text data, converting data into suitable formats)

• Collaborate with data scientists, machine learning engineers, and project managers

Education Requirements:

• MSc in a quantitative field (Computer Science. Statistics, Software\Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

• Deep understanding of machine learning models and statistical inference

Other Requirements:

• Great communication and interpersonal skills

Responsibilities:

• Be part of a data-science team where you will lead end-to-end ML projects. (from business understanding through data exploration, research, algorithm development, evaluation, optimization & A/B testing to model deployment)

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve our ML pipeline

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev and DevOps teams

Benefits:

• Company equity

• Learning & development budget

• Flexible working options

• Generous pension matching

Experience Requirements:

• Experienced in Data Science and Data Engineering roles

• Proficient with SQL and Python

• Experienced with using and managing data created by Generative AI

• Comfortable working with cloud platforms like AWS/GCP/Azure

• Experienced at building ML models

Other Requirements:

• Mission-driven, caring deeply about helping people use AI safely

• Kind and curious, always looking for ways to improve our tech and product for customers

Responsibilities:

• Analyze the accuracy of our techniques for classifying results and identifying vulnerabilities

• Evaluate the relative merits of alternative approaches identified by the team

• Identify and develop further improved methods for classifying results and identifying vulnerabilities

• Identify new insights and visualisations from our data that would benefit our customers

• Design and implement improvements to data pipelines and labelling systems that facilitate ongoing quality

Benefits:

• Stipend to support research training of £2,000 for 4 years

• Tuition fees waived up to the overseas rate for 4 years

Education Requirements:

• Academic or professional background in Computer Science, Mathematics, Statistics, Econometrics, or related disciplines

• Academic or professional background in Law, Information Systems, or Computer Science

• Academic or professional background in Computer Science, Mathematics, Statistics, Econometrics, Industrial Engineering, or any related disciplines

Responsibilities:

• Research on AI for Fairness, Transparency, and Inclusive Growth in Financial Services

• Research on ethical, legal, and social implications of integrating AI

• Developing policies and strategies for human-AI coexistence

• Research on AI to enhance sustainability and efficiency in supply chain networks

Education Requirements:

• Ph.D. with first division in the preceding degree or equivalent in the relevant discipline, with a good academic record throughout

Experience Requirements:

• Less than 2 years of experience in Computer Vision for Autonomous Systems

• Less than 2 years of experience in Dependable AR-VR for X

• Less than 2 years of experience in CV and VR for Industry 4.0

• Less than 2 years of experience in Imaging for Document Analysis

• Less than 2 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

• Ph.D. with first division in the preceding degree or equivalent in the relevant discipline, with a good academic record throughout

Experience Requirements:

• 2 to 5 years of experience in Computer Vision for Autonomous Systems

• 2 to 5 years of experience in Dependable AR-VR for X

• 2 to 5 years of experience in CV and VR for Industry 4.0

• 2 to 5 years of experience in Imaging for Document Analysis

• 2 to 5 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

• Ph.D. with first division in the preceding degree or equivalent in the relevant discipline, with a good academic record throughout

Experience Requirements:

• More than 5 years of experience in Computer Vision for Autonomous Systems

• More than 5 years of experience in Dependable AR-VR for X

• More than 5 years of experience in CV and VR for Industry 4.0

• More than 5 years of experience in Imaging for Document Analysis

• More than 5 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

• M.Tech/B.Tech with first division in the relevant discipline, with a good academic record throughout

Experience Requirements:

• Relevant industry/research experience in core scientific horizontals (Seeing and Sensing, Dependability, Real-time Computer Vision Systems, Data Collection, Curation and Annotation)

• Relevant industry/research experience in application verticals (Computer Vision for Autonomous Systems, Dependable AR-VR for X, CV and VR for Industry 4.0, Imaging for Document Analysis, Computer Vision for Better Living: Healthcare and Biosphere)

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

• M.Tech/B.Tech/MBA/M.Sc with first division in the relevant discipline, with a good academic record throughout

Experience Requirements:

• Relevant industry/research experience in core scientific horizontals (Seeing and Sensing, Dependability, Real-time Computer Vision Systems, Data Collection, Curation and Annotation)

• Relevant industry/research experience in application verticals (Computer Vision for Autonomous Systems, Dependable AR-VR for X, CV and VR for Industry 4.0, Imaging for Document Analysis, Computer Vision for Better Living: Healthcare and Biosphere)

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Health Insurance (Allianz)

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Experience Requirements:

• 6+ years of experience in security research, threat intelligence, or vulnerability analysis.

• Experience conducting in-depth security research on emerging threats, vulnerabilities, and attack techniques.

• Strong expertise in reverse engineering, malware analysis, and exploit development.

• Deep understanding of operating system internals, network security, and cryptography.

• Familiarity with security frameworks and methodologies such as MITRE ATT&CK.

Other Requirements:

• Strong analytical skills with the ability to communicate complex security concepts effectively.

Responsibilities:

• Work closely with security teams to implement defensive capabilities and response strategies for an AI product.

• Publish research findings through technical reports, whitepapers, or at security conferences.

• Collaborate with the broader security community to share insights and best practices.

• Stay current with the latest cybersecurity trends, adversarial tactics, and defense mechanisms.

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• clear career plan with defined goals

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Master's degree or PhD in computer science, data science, artificial intelligence, mechanical engineering or a related field

Experience Requirements:

• 5 years of proven experience in the development of complex software projects

• At least 3 years of professional experience in the development and shipment of AI algorithms in the field of computer vision Experienced in the independent development of software projects

• Several years of professional experience in the development and implementation of AI models and algorithms.

Responsibilities:

• ​Holistic and independent development and shipment of AI models to the customer using our existing data pipeline as well as improvement and extension of existing models Data acquisition, support in annotation processes Further development of data and training pipelines as well as our data workspace Design of AI algorithms (architectures, training procedures, etc.), hyperparameter optimization as well as measurement and implementation of performance-enhancing measures Software-side implementation of AI algorithms in Python with PyTorch Development of interfaces and integration of algorithms in real-time applications Management and maintenance of cloud training environment and data pipeline (Microsoft Azure) Technology stack: Python, PyTorch, PyTorch-Lightning, Azure-ML, Docker, Jupyter notebooks, etc. Technology scouting and active participation in technology decisions Work in autonomous Scrum teams in flat hierarchies with plenty of room to help shape things Collaboration in agile processes with colleagues as well as national and international partners and customers. Willingness to travel to customers and desire to develop the team on site

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave, work-life balance support, flexible hours

Education Requirements:

• Chemistry, engineering or other related science degree

Experience Requirements:

• A self-starter with proven critical thinking, problem solving skills and attention to detail

Other Requirements:

• Proficiency in MS Office

• Strong communication skills both written and verbal

• Quick learner, coachable and adaptable; must be able to retain and apply new information quickly

• Strong demonstrated ability to research

Responsibilities:

• Develop formulas, product specifications, processing parameters and create functionality studies for new maintenance chemicals.

• Conduct field trials and collaborate with internal and external customers to evaluate new products/system performance, assist in preparation of reports/presentations.

• Develop standard operating procedures, compatibility studies and evaluation of new equipment.

• Oversee the testing of physical attributes, stability, and performance of products.

• Recognize early failures and discuss with program leader.

Education Requirements:

• degree in a quantitative or business discipline

Education Requirements:

• Bachelor’s degree in Computer Science, a related field or equivalent experience

Experience Requirements:

• 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data

• Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields

• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)

Responsibilities:

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love

• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners

• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development

• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Benefits:

• Big impact - join us to define a novel industry.

• Flexible schedule with a global, remote team.

• Work on products that matter to people. Unleash the creativity of millions, create solutions loved by users!

Other Requirements:

• You are passionate about empowering people's creativity with AI.

• Generative models are no strangers to you. You are experienced with at least one of the following: image synthesis, text-to-image, text-to-speech, animation synthesis, 2D-to-3D conversion.

• You can train, tune, and deploy deep-learning models. Building novel prototypes and productionizing them to serve millions of users is what keeps you excited.

• You love solving open challenges with a "hacker" spirit. Expanding your comfort zone is what you do on a daily basis.

• You are result-oriented. Fail fast, learn fast, and ship fast.

• You are a team player.

• You speak and write in English.

• You live anywhere in the world and fully embrace remote work.

Responsibilities:

• Make science fiction a reality, using AI. You will be one of our key engineers contributing to the generative tech stack. You will study the latest ML research, build prototypes, test and productionize them. What you build will directly wow our users.

• You will work on state-of-the-art generative technologies to create frictionless experiences for creating visual content. Projects include, but are not limited to: image synthesis, text-to-image, text-to-speech, animation synthesis, 2D-to-3D conversion.

• You will be challenged to think out-of-the-box and to fulfill customers' needs in creative ways.

• You will contribute to the core product roadmap and become one of those who build the world-known content creation app.

Benefits:

• Big impact - join us to define a novel industry.

• Flexible schedule with a global, remote team.

• Work on products that matter to people. Unleash the creativity of millions, create solutions loved by users!

Other Requirements:

• You are passionate about empowering people's creativity with AI.

• Generative models are no strangers to you. You are experienced with at least one of the following: face reenactment, pose transfer, animation synthesis, 2D-to-3D conversion.

• You can train, tune, and deploy deep-learning models. Building novel prototypes and productionizing them to serve millions of users is what gets you excited.

• You love solving open challenges with a "hacker" mindset. Expanding your comfort zone is what you do on a daily basis.

• You are result-oriented. Fail fast, learn fast, and ship fast.

• You are a team player.

• You speak and write fluently in English.

• You live anywhere in the world and fully embrace remote work.

Responsibilities:

• Make science fiction a reality, using AI. You will be one of our key researchers contributing to the generative tech stack. You will review the latest ML research, build prototypes, test and work with the engineer team to productionize them. What you build will directly wow our users.

• You will work on state-of-the-art generative technologies to create frictionless experiences for creating visual content. Projects include: face reenactment, pose transfer, animation synthesis, 2D-to-3D conversion, etc.

• You will be challenged to think out-of-the-box and to fulfil out users' needs in creative ways.

• You will contribute to the core product roadmap and build the next generation content creation platform.