AI Jobs

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

Benefits:

• Base salary + equity + performance bonus

• Industry-leading healthcare covering medical, dental, vision, and life paid by the company

• Health Savings and Flexible Spending accounts

• 401K

• Unlimited PTO with an employee-focused work approach Flexible work schedule and a remote-friendly environment Parental leave Participation in profit sharing Employee Referral Bonus Program Company outings, retreats, and events (when permissible)

Education Requirements:

• Academic background in statistics, comp sci, math, engineering

Experience Requirements:

• 6+ years professional Data Science experience

Other Requirements:

• startup background is a huge benefit with a strong capacity to work across teams in product, marketing, sales, and engineering

• Consumer product and subscription modeling expertise

• Portfolio or sharable work samples (dashboards you built, measurable/quantifiable results you helped produce, methodology, etc.)

• Deep ML/AI experience (including machine learning modeling and ensemble methodology)

• Python expertise (NumPy, SciPy), SQL, MongoDB, C++

• Understanding of digital signal processing techniques (filtering, spectral/FFT analysis, convolution, etc.)

• Experience with machine learning, especially as it applies to music analysis and/or generation

• Experience with Django, Heroku, AWS, S3

• Familiarity with python audio processing libraries such as Librosa

• Passion for or experience in music – ML, production, and creation

• Accepting only US-based applicants with 6+ years of hands-on data science/data leadership experience.

Responsibilities:

• Collect, analyze, and present processed and unprocessed data pertaining to music creation tech to make the business more powerful and increase enterprise opportunities.

• Design accurate and scalable prediction algorithms in pertinence to business objectives

• Collaborate with the engineering team to bring analytical prototypes to production, make product adjustments, and geek out on product opportunities

• Based on the insights you gather, make clear recommendations to improve and work with other department leads to execute

• Help design data team hiring roadmaps Produce regular analytics reports for internal and external stakeholder (board, investor, etc.) purposes.

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

Experience Requirements:

• 2+ years experience with real life classic Machine Learning experimentation

• Production grade modeling experience

Responsibilities:

• Supporting our customers with their data science experimentations

• Delivering 100 level introduction to Data Scince training

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401(k) plan

• Unlimited PTO

• Fun global offsites!

Experience Requirements:

• Publications at leading AI conferences, journals or workshops, such as NeurIPS, ICML, EMNLP, ACL, AAAI.

• Experience conducting empirical NLP research in an academic or industry research lab.

• Knowledge and understanding of state-of-the-art machine learning concepts, with a focus on NLP.

• Experience training language models in applied or research settings.

• Experience working and communicating cross functionally in a team environment.

Other Requirements:

• Have good character, integrity and respect for others.

Responsibilities:

• Develop state-of-the-art systems for AI evaluation.

• Conduct novel research on redteaming language models, automated evaluation and alignment.

• Scope out and lead research projects, including experiment design, timelines for research deliverables, understanding results.

• Develop processes for high quality research, including dataset collection, model training, benchmarking and inference.

• Experiment with latest technologies and proactively suggest experiments and improvements to research and ML systems.

Experience Requirements:

• You have a background in Computer Vision / Computer Science and 3+ years of industry experience. (PhD preferred)

• You have worked with Generative image or video Models

Responsibilities:

• Training large models across multiple nodes and analysing results

• Implementation of state-of-the-art video diffusion techniques to improve our methods.

• Performing research and literature reviews in order to propose new ideas based on latest trends in the community.

• Collaborative development and planning within the team.