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.

Experience Requirements:

• Proven experience as a licensed pathologist

Other Requirements:

• Experience in conducting clinical studies and clinical writing – an advantage

• Experience in a Medtech company – an advantage

• Willing to work in a dynamic and intense start-up environment

• Fluent in English

• Great communication skills

• We are an equal opportunity employer and committed to creating a friendly, inclusive environment that is a pleasure to work in, and where there is an unbiased acceptance of others.

Responsibilities:

• Annotate (mark and label) various cell types and structures in whole-slide images

• Analysis of algorithmic performance and clinical data

• Design and execution of clinical research and case studies

• Advise on improvements to our platform, workflow and user-interface

Experience Requirements:

• Excellent communication skills

• Robotics, computer science, or mechatronics background

• Strong background in mathematics

Other Requirements:

• Programing in C++, Python or Matlab

• Knowledge of Robotics Operating Systems (ROS)

Benefits:

• Reduced working year scheme

• Parental leave provisions

• Study support encompassing leave and financial assistance

• Comprehensive professional development

• Salary Packaging

Education Requirements:

• Completion of a doctoral qualification in engineering, computer science, or related discipline.

Experience Requirements:

• A well-formulated research agenda and the willingness or demonstrated capability to independently conduct high-quality research.

• Demonstrated ability to publish research outcomes in top conferences or journals in robotics, computer vision, or machine learning.

• Demonstrated knowledge and expertise in the foundations of robotics, computer vision, machine learning.

• Demonstrated proficiency in Python and experience with ROS, deep learning frameworks such as PyTorch, Linux.

• Excellent communication skills.

Responsibilities:

• Contribute to the research in QCR’s Visual Learning and Understanding Program

• Work closely with a team of academics, research fellow, engineers, PhD students and undergraduates

• Co-supervise PhD students and undergraduate students

• Publish in high-quality conferences and journals in robotics, computer vision, machine learning

• Actively participate and contribute to our collaborative culture within the Centre, including visits to Centre partners and joint publications

Experience Requirements:

• Applicants should have a strong background in machine learning and robotic vision as well as strong programming skills in Python.

• Good teamwork, communication (verbal and written), and a strong intrinsic motivation are essential.

Benefits:

• The opportunity to work in the Sports and Events industry, having the opportunity to interact with some of the most interesting brands in the industry;

• A myriad of complex and stimulating digital marketing problems and the freedom to solve them as you see fit;

• Experienced international team with lots of knowledge to share.

Experience Requirements:

• Professional and/or academic experience in machine learning & deployment of models and algorithms to solve real-world problems;

• Experience manipulating and analyzing large and complex datasets;

Responsibilities:

• Work alongside the Product Team to define new features by integrating the above algorithms into the product;

• Identify and lead initiatives for adding AI capabilities to our product;

• Experience in visualization and in creating interactive displays of data that clearly communicate insight;

Education Requirements:

• A completed B.Sc. in computer science or related fields

• Completed coursework on machine learning and/or deep learning

Experience Requirements:

• Foundational knowledge in machine learning algorithms

• Experience with the PyTorch deep learning framework

• Experience with the Python programming language

• Ability to read, understand, reimplement and critique research publications

• Experience with or coursework about compression methods like quantization, pruning, and compilation

Responsibilities:

• Understand and implement compression methods from open-source projects and research papers

• Integrate these methods into our compression tool, ensuring they are user-friendly and effective

• Adapt and extend successful methods to support various architectures and use-cases

• Conduct thorough testing to ensure the reliability and robustness of the compression tool

Responsibilities:

• Entwicklung des sentin EXPLORERs

Other Requirements:

• Mind. 25 Jahre alt

• Ideal sind 24 Monate Erfahrung in Computer Vision / KI Projekten

Responsibilities:

• Entwicklung des sentin EXPLORERs

Education Requirements:

• Master’s degree or PhD in Computer Science, AI, Linguistics, or a related field.

Experience Requirements:

• Proven track record of research in AI, machine learning, or NLP, demonstrated through publications, software, or patents.

• Experience in developing and evaluating AI systems, along with an understanding of cutting-edge AI research is desirable.

• Experience in training, fine-tuning, and/or experimenting with ML models.

• Strong programming skills in Python, and familiarity with deep learning frameworks (e.g., PyTorch, Hugging Face, Jax).

Other Requirements:

• Excellent analytical, problem-solving, and communication skills.

• Fluent in English, proficiency in Thai is highly desirable.

Responsibilities:

• Conduct groundbreaking research on AI, with a focus on natural language processing, machine learning, and low-resource language technologies.

• Publish research findings in top-tier journals and at leading international conferences.

• Explore and experiment with cutting edge research in related fields.

• Collaborate with a global network of researchers and industry partners to advance our research goals.

• Work with an engineering team to develop open-source models, software and tools that facilitate AI research and application in low-resource languages.

Benefits:

• equity in a fast-moving, profitable startup

• Competitive compensation

• The company is already profitable

• CMU startup in close proximity to CMU

Education Requirements:

• PhD

Other Requirements:

• US citizenship, and eligibility to obtain TS/SAP clearance

• Desire to work with the world's leading experts in a fast-moving environment

Education Requirements:

• Master's or PhD in Mathematics, Statistics, Physics, Engineering, or a related field.

Experience Requirements:

• 3+ years of experience in a data science role, preferably in a fast-paced tech environment.

• Proficiency in SQL and a computing language such as Python or R.

• Expertise in statistical analysis, machine learning, and data visualization.

• Excellent communication skills, with the ability to translate complex findings into actionable insights.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and opportunities for optimization.

• Apply and deploy a wide variety of statistical methods including experimentation, causal inference, and ML/AI algorithms to solve complex business problems.

• Create data visualizations and dashboards to communicate insights to stakeholders.

• Transform and clean data from multiple sources into scalable data pipelines.

• Work closely with product and engineering teams to improve the platform and integrate data-driven solutions.

Benefits:

• Pension scheme

• Generous holiday entitlement

• Competitive salaries

• Training and development

• Family Friendly policies On campus childcare facilities, for more information visit www.wivenhoeparkdaynursery.co.uk Relocation support package for qualifying staff Interest free season ticket loan Range of optional salary exchange tax benefits (pension and bicycle schemes)

Education Requirements:

• PhD in Computer Science, Artificial Intelligence, Mathematics, Physics, Data Science, Bioengineering, or a related discipline.

• Ability to complement and enhance the research project and department’s strengths.

• Strong written and verbal communication skills.

Responsibilities:

• Design, implement, and document AI algorithms for deep learning, computer vision, and signal processing in the context of neuromonitoring.

• Develop and refine imaging analytics pipelines to extract key metrics from video and time-series data, particularly related to pupillometry, eye movement, and fatigue detection.

• Train, retrain, and optimize deep learning models, including data preparation, augmentation, and integration of additional datasets.

• Manage deep learning workflows on local devices and cloud-based environments and analyze model outputs to derive actionable insights.

Benefits:

• Pension scheme

• Generous holiday entitlement

• Competitive salaries

• Training and development

• Family Friendly policies On campus childcare facilities, for more information visit www.wivenhoeparkdaynursery.co.uk Relocation support package for qualifying staff Interest free season ticket loan Range of optional salary exchange tax benefits (pension and bicycle schemes)

Education Requirements:

• PhD in Human-Computer Interaction, Cognitive Neuroscience, Psychology, Behavioral Science, or a related discipline.

Experience Requirements:

• Experience in organizing and conducting experiments with human participants and technology.

• Knowledge of eye-tracking and/or pupillometry techniques is desirable.

• Strong written and verbal communication skills.

Responsibilities:

• Manage, prepare, and conduct eye-tracking experiments in lab and remote settings.

• Organize and curate large datasets, ensuring high-quality data collection and analysis.

• Develop questionnaires and conduct fieldwork to support research objectives.

• Identify trends and patterns in eye-tracking and pupillometry data.

• Conduct qualitative and quantitative analysis to inform study outcomes.

Responsibilities:

• Create and maintain predictive models applied to our customer datasets Engineer features that aid in our understanding of tire dynamics and their usage by customers Design metrics and tests to judge the quality and performance of our machine learning models Work closely with our firmware and hardware teams to efficiently pre-process data on the edge Collaborate with data engineering teams to create scalable processing pipelines Guide our data collection team on acquiring data for in-house tire/vehicle models Work with external tire laboratories and manufacturers to design data collection tests

Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP , LLM and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, RAG,GPT ).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 6+ experience as a Data Scientist, with a focus on AI-driven environments.

• Expertise in data manipulation and analysis tools (e.g., Python, R, SQL).

• Extensive experience with machine learning frameworks and algorithms.

• Strong familiarity with both structured and unstructured data sources.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex concepts effectively to non-technical stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of leading projects to success.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, GPT).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Hands on experience in deployment

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Opportunity for professional development in the area of GenAI

• Private Medical insurance

• Multisport card

• Google certification paths

Experience Requirements:

• A minimum of 3 years of experience in Data Science, with a keen interest or direct experience in Generative AI

• A minimum of 2 years of experience in NLP tasks

• Proficiency in PyTorch or another deep learning library

• Expert programming skills in Python

• Familiarity with the Numpy/Pandas libraries