Experience Requirements:

• 3+ years

Experience Requirements:

• 6+ years

Benefits:

• Equity

Education Requirements:

• BS or MS degree in CS, AI, or applied math

Experience Requirements:

• 5+ years of experience building AI/ML based products in NLP domains

• Strong understanding of deep learning AI/ML frameworks or cloud services

• Hands-on ML Ops experience

Responsibilities:

• Create and ship highly-differentiated AI experiences

• Craft Tome's AI/ML strategy

• Identify user needs for AI/ML solutions

• Prototype LLM-powered experiences

• Help build a world-class AI/ML engineering team

Benefits:

• Equity

Education Requirements:

• 5+ years of industry experience in NLP

Experience Requirements:

• 5+ years of industry experience in NLP

• Strong understanding of deep learning AI/ML frameworks or cloud services

• Hands-on ML Ops experience

• Deep expertise in NLP and model training, specifically with LLMs

• Proven experience adapting open-source generative models

Responsibilities:

• Create and ship highly-differentiated AI experiences

• Craft Tome's AI/ML strategy

• Pioneer the training of new models

• Prototype LLM-powered experiences

• Help build a world-class AI/ML engineering team

Benefits:

• Global workplace

• Remote workforce culture

• Performance-driven rewards

Benefits:

• Global workplace

• Remote workforce culture

• Performance-driven rewards

Benefits:

• 100% covered medical/dental/vision for employees

• 15 days annual PTO plus holidays

• 401k matching

Education Requirements:

• PhD in related field, or equivalent industry experience

Experience Requirements:

• Prior key contributor to significant deep learning projects for image enhancement or image processing

• Significant prior experience with CNNs and other common computer vision network architectures

• 2 years of hands-on experience with TensorFlow or PyTorch

• Good understanding of common image processing algorithms

• Working knowledge of C/C++

Responsibilities:

• explore and develop new deep learning models to solve inverse problems in imaging

• evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage

Benefits:

• 100% covered medical/dental/vision for employees

• 15 days annual PTO

• 5 personal days plus holidays

• 401k matching

Education Requirements:

• PhD in related field or equivalent industry experience

Experience Requirements:

• Significant research on GAN or diffusion models for image/video enhancement, image processing, or image editing

• Experience with model distillation, quantization, and pruning

• 2+ years of hands-on experience with PyTorch, expert level at python

• Working knowledge of C/C++

Responsibilities:

• explore and develop GAN and diffusion-based generative AI technologies in the image and video domain

• improve inference and memory efficiency while retaining performance

Benefits:

• Fully Remote Working Environment

• Unlimited Paid Leaves

• Co-working Allowance

• Medical Insurance

• Grow & Learn by Getting Things Done

Experience Requirements:

• Min experience in Market Research (2 years - preferably quantitative) or Min experience in Research (4 years - preferably quantitative)

Other Requirements:

• Research Design

• Data Analysis

• Technical Writing

• Project Management

• Relationship management

• Communication & interpersonal skills

• Problem solving

• Fluency in English

• Teaching experience (a plus)

• Experience working in a research agency (a plus)

• Startup experience (a plus)

• Basic knowledge working with CRM (preferably Hubspot) (a plus)

• Experience with research or data analytics software (a plus)

• Academic qualifications that cover quantitative research, with qualitative research being an added bonus (a plus)

• Fluency in Malay or Mandarin (a plus)

Responsibilities:

• Ensuring clients are successful in achieving their research objectives by guiding them through research design and data analysis that will provide them accurate and actionable data.

• Providing in-person, written and in-app guidance to clients, enabling them to conduct their research independently.

• Developing systems and processes to maintain and track client satisfaction, providing them with helpful guidance in a timely manner.

• Building & maintaining relationships with past and current clients, to enable us to better identify and be able to assist with their future research needs.

Benefits:

• competitive salary and benefits package

• opportunity to work on cutting-edge AI projects

• collaborative and supportive work environment

• opportunity to participate in conferences and workshops

• opportunity to participate in Tech Talks (internal training and seminar sessions)

Experience Requirements:

• minimum of 4 years of experience in data science

Other Requirements:

• Skilled in Python with strong familiarity with data science libraries like NumPy, pandas, and scikit-learn

• Proficient in SQL for effective data management and querying

• Strong skills in creating data visualizations

• Excellent written and verbal communication skills

• Excellent problem-solving capabilities

Responsibilities:

• Develop and implement scalable models and analytics solutions to address real-world challenges

• Translate business requirements into data-driven insights and actionable goals

• Optimize data pipelines to enhance data processing and analysis capabilities

• Design automated processes for data analysis and report generation

• Ensure seamless integration of data solutions within client environments

Benefits:

• Profit Sharing

• Generous PTO

• Work from Anywhere

• Advanced Training

• Modern Tech

Experience Requirements:

• minimal experience but provable learning capacity

Responsibilities:

• developing datasets, benchmarks, and models in pursuit of AI doctors and curing cancer

Benefits:

• Remote friendly

• Flexible work hours

• Flexible PTO

• Competitive compensation packages

• Medical, dental, and mental health benefits (US & Canada)

Benefits:

• Remote friendly

• Flexible work hours

• Flexible PTO

• Competitive compensation packages

• Medical, dental, and mental health benefits (US & Canada)

Benefits:

• Remote friendly

• Flexible work hours

• Flexible PTO

• Competitive compensation packages

• Medical, dental, and mental health benefits (US & Canada)

Benefits:

• Remote friendly

• Flexible work hours

• Flexible PTO

• Competitive compensation packages

• Medical, dental, and mental health benefits (US & Canada)

Benefits:

• Paid time off

• Remote and flex working hours

• Additional perks

Education Requirements:

• Master's degree in Computer Science or related tech field OR equivalent experience

Experience Requirements:

• 5+ years of experience in Machine Learning.

• 2+ years of work or educational experience in speech tech (such as automatic speech recognition (ASR), speaker recognition/identification/diarization, emotion classification, text-to-speech).

• Strong knowledge of ML techniques including both supervised and unsupervised learning, classification, regression, and optimization.

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of distributed computing frameworks.

• Proficiency in statistics.

Other Requirements:

• Experience with large-scale data processing, data modeling, and feature extraction.

• Ability to collaborate with a diverse set of engineers and data scientists.

• Experience with one or more general purpose programming languages including but not limited to: Caffe and or TensorFlow, Pytorch, C#, C++, Python.

• Professional proficiency in English

Responsibilities:

• Experiment with, apply and benchmark new ML algorithms.

• Set up proof-of-concepts and bring those to product.

• Productize cutting-edge research.

• Deploy machine learning code in the cloud.

• Leverage machine learning techniques to build systems which process and derive insights from tons of data points every day.

Benefits:

• Remote work

• Competitive equity & compensation

• Health, dental & vision benefits

• Paid parental leave

• Unlimited PTO

Benefits:

• Competitive salary based on your experience

• You may work at our office (Luxembourg, Romania, France/Paris), or even from home

• Full coverage of operational costs

• Full-time employment

Education Requirements:

• Bachelor or Master Degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science, Machine Learning or related fields required

• Graduated AI, Data Science, ML, NLP, Statistics courses are considered to be a plus

Experience Requirements:

• Experience with Machine Learning and NLP, and with developing production ML and / or NLP systems

Other Requirements:

• Proficiency with the Python programming language (minimum 4 years)

• Proficiency with Python and basic libraries for machine learning and data manipulation such as scikit-learn and pandas

• Proficiency with NLP tools and libraries such as NLTK, spaCy, fastText

• Proficiency with SQL

Responsibilities:

• Using ML and NLP techniques to develop new application components or to improve the existing ones

• Integrate the developed application features with the rest of the application

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

• Managing available resources such as hardware, data, and personnel so that deadlines are met

Benefits:

• Unlimited paid time off

• Parental leave

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend (600$/year for therapy or gym etc.)

Experience Requirements:

• 8+ years of experience in machine learning and dataset engineering, focusing on large-scale, multimodal datasets

• Experience leading data strategies and partnerships at a senior level

• Expertise in data analysis, with practical experience in examining complex datasets

• Knowledge of data cost management and optimization techniques

• Understanding of current developments in dataset engineering and machine learning

Responsibilities:

• Establish and oversee data partnerships to obtain high-quality datasets for our AI models

• Develop data strategies that support Runway's product and research objectives

• Analyze our data ecosystem to find gaps and areas for improvement

• Work with external partners on new data projects

• Keep up with advances in dataset engineering and machine learning, applying new methods to our work