Benefits:

• Competitive Salaries

• Company Stock Options

• Health, Vision & Dental Coverage

• Learning & Development

• Flexible Work Hours

Benefits:

• Bonus

Education Requirements:

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field is preferred

Experience Requirements:

• 4-7 years in data science, with a strong record of driving business impact

Other Requirements:

• Proficiency in Python, Power BI, SQL, and data manipulation tools; experience with cloud platforms (Snowflake, AWS SageMaker, Azure AI) and MS Power Apps.

• Skilled in a variety of machine learning techniques, including clustering, decision trees, neural networks, and natural language processing (NLP)

• Solid understanding of advanced statistical techniques and real-world application

• Strong written and verbal communication skills

Responsibilities:

• Collaborate with internal teams to identify and prioritize opportunities for leveraging data in product development, marketing strategies, and business processes.

• Extract and interpret data to create actionable insights that drive business growth and customer engagement.

• Evaluate the accuracy of new data sources and data collection methods.

• Develop and deploy custom algorithms and predictive models to optimize customer experience, boost revenue, and refine ad targeting.

• Establish and refine an A/B testing framework to evaluate model performance. Coordinate with cross-functional teams to implement models and track their outcomes in real-time. Design tools and processes to monitor data accuracy and model effectiveness

Benefits:

• AI Research (Speech)

• Amsterdam based

• Competitive Salary and Benefits

Education Requirements:

• PhD or Master’s in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• At least 3 years in ASR and TTS, with a record of delivering impactful solutions

Other Requirements:

• Proficient in Python, with hands-on experience in PyTorch or TensorFlow for speech synthesis

• Strong written and verbal skills; ability to work in a diverse, collaborative team

• Fluent in English; proficiency in additional languages is a plus

Responsibilities:

• Conduct research in ASR and TTS, including projects in voice cloning and conversion

• Create advanced algorithms for speech recognition, synthesis, and voice conversion

• Test ASR and TTS systems in multiple languages using varied metrics

• Work with researchers and engineers to integrate your work into scalable solutions

• Present findings at conferences and in leading journals

Benefits:

• Option for remote work

• Tech Lead (Music Generation)

Education Requirements:

• Advanced degree in a relevant field (PhD preferred)

Experience Requirements:

• Proven experience in training large-scale generative audio models and encoding/decoding audio

• Proficiency in Python, deep learning frameworks, and audio signal processing

• Strong publication record in top-tier conferences (e.g., NeurIPS, ISMIR)

Other Requirements:

• Excellent communication and leadership abilities

Responsibilities:

• Lead research on large-scale generative audio models for music and audio signal processing

• Build and optimize scalable systems for music generation

• Guide and mentor multidisciplinary teams, fostering collaboration and innovation

• Publish findings in top-tier conferences and represent the company in industry events

• Explore synergies between music and speech generation models

Benefits:

• Lunch allowance (in office/client site) + CHF 300/month travel reimbursement

Education Requirements:

• Advanced degree (Master's or Ph.D.) in AI, Machine Learning, or related fields

Experience Requirements:

• Proven track record in AI leadership roles, particularly in consulting

Other Requirements:

• Strong background in Generative AI, LLMs, computer vision, and MLOps (e.g., MLFlow, Kubernetes)

• Python, PyTorch, TensorFlow, LangChain

• Fluent in French; additional European languages are a bonus

• Exceptional client-facing and interpersonal skills

Responsibilities:

• Guide AI projects with expertise in Generative AI, LLMs, multimodal models, and computer vision

• Mentor and lead AI scientists, ensuring high-quality project delivery

• Identify and develop new AI consulting opportunities

• Act as the main client contact, aligning solutions to their AI needs

• Ensure timely and successful execution of AI initiatives

Benefits:

• competitive salary

• stock options

• personal development and learning programs

Education Requirements:

• PhD degree

• Masters degree

Experience Requirements:

• 4+ years of experience of applied research in Machine Learning

Other Requirements:

• Comprehensive and deep knowledge in fields such as machine learning/statistical modelling, deep learning, NLP, NLU, graph learning or reinforcement learning/user intent modelling with at least one publication as the first author in a leading conference or journal related to one of these fields

• Computer Science fundamentals in algorithm design, complexity analysis, data structures, problem-solving and diagnosis

• Experience applying machine learning research in information retrieval, search, information discovery or recommender systems

• Solid experience with programming languages such as Python

• Good written and spoken English communication skills and the ability to present complex solutions with clarity

• Flexible and responsive to spontaneous needs, challenges and opportunities, able to balance conflicting demands on time and priorities

• Highly self-organized, planned and collaborative with a strong personal drive to keep up with a productive mindset

• Continual passion to learn and apply knowledge in a methodical fashion

Responsibilities:

• Develop machine learning models to build our peer-group analysis technology for finance professionals

• Drive the Comparables.ai ML technology in close collaboration with other machine learning scientists, software engineers and product managers

• Initiate and define new research and development ideas to solve the peer-group analysis problem, drive execution, and align across the teams and collaborators

• Work with the tech stack of Python/Tensorflow/Keras/Pytorch/Jupyter notebooks

• Write reusable, testable, and efficient code

Benefits:

• Gold Plan Health Insurance

• Flexible Spending Accounts for Health and Dependent Care

• Fully remote and hybrid work as an option

• Dental & Vision Coverage

• Unlimited discretionary time off

Benefits:

• Gold Plan Health Insurance

• Flexible Spending Accounts for Health and Dependent Care

• Fully remote and hybrid work as an option

• Dental & Vision Coverage

• Unlimited discretionary time off

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Digital Twin

• Flexible environment

• Contribution to personalized medicine

• Stock options

• Health insurance (50% employer-paid for employees and families)

Education Requirements:

• Bachelor's or Master's degree in Data Science related field

Experience Requirements:

• Minimum 10 years of experience in a similar role

Other Requirements:

• Expertise in machine learning and deep learning

• Experience with MLOps tools

• Bioinformatics experience is an asset

• Web interface development experience is an asset

• Bilingual (French and English)

Responsibilities:

• Lead the design and development of machine learning models

• Develop a clear understanding of project requirements

• Collaborate with inter-functional teams

• Implement best practices in software and machine learning development

Benefits:

• Early equity stock option allocations

• Performance-based option allocation

• Extended health and dental package

• Health & wellness spending account

• Employee assistance program

Benefits:

• Remote work

• Unlimited vacations

• Equity opportunities

Experience Requirements:

• Experience in developing and integrating computer vision models

• Experience with Python and AI/ML cloud solutions (Azure, GCP, AWS)

• Experience with data management and preprocessing

• Experience with MLOps

Other Requirements:

• Experience with image processing

• Experience with experiment design and analysis

Responsibilities:

• Develop and integrate new computer vision models

• Implement and optimize content filtering systems (e.g. NSFW detection)

• Design and execute experiments to improve model prompting and performance

Benefits:

• Remote work

• Unlimited vacations

Experience Requirements:

• Experience with AI agent frameworks (Crew AI, LangChain, LangGraph)

• Experience with prompting and natural language processing

Other Requirements:

• Experience with Python and data analysis

Responsibilities:

• Design and implement AI agents for autonomous content generation

• Develop intelligent systems for B2B leads research and qualification

• Create automation tools to streamline internal processes and improve efficiency

Benefits:

• Free parking - onsite underground car park

• No oncall, weekend or public holiday commitment

• Staff discounts on cosmetic products and treatments

• Friendly team

Experience Requirements:

• Minimum 2 years of experience in perioperative nursing

Other Requirements:

• Unconditional APHRA registration, with full working rights in Australia

• Commitment to quality patient care

• Excellent communication and customer service skills

• Works well independently and within a team

• Current Police Check

• COVID-19/Influenza vaccination certification and immunisation history

Responsibilities:

• Delivering exceptional clinical care

Benefits:

• Industry-leading pay

• Flexible hours

• Meaningful work and transparency

• Develop your skills in AI training

Responsibilities:

• AI training

Education Requirements:

• Ph.D. in Maths, engineering, physics, or computer science degree

• 1+ years of experience in software development

Experience Requirements:

• 1+ years of experience in software development

Other Requirements:

• Deep understanding of time series analysis, regression analysis, probability theory and statistics

• Ability to work under pressure in a continuously evolving environment

• Excellent communication skills

• Proficient in English

Responsibilities:

• Seek patterns in large datasets

• Evaluate, forecast, and simulate investment ideas

• Analyze risk in investment portfolios

• Review, implement, and analyze scientific papers

Benefits:

• Attractive remuneration

• Share option scheme

• Matching pension opportunity

• Travel to our offices

• Work with exciting and supportive team members

Education Requirements:

• Bachelor’s degree in statistics, machine learning, or related discipline

• PhD or Masters in Computer Science/Electrical Engineering or related fields with a focus on Computer Vision

Experience Requirements:

• Experience using frameworks such as Tensorflow, Keras, Pytorch

• Experiences with computer vision project using image classification, object detection, image segmentation and image mask

• Deep understanding of machine learning model hosting for inference and model optimization

• Coding skills in Python, Java or C++

• Ability to work in a fast-paced start-up environment

Other Requirements:

• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis

• Proficiency with a statistical analysis package and associated scripting languages such as Python, R, Matlab, SAS

Responsibilities:

• Use the data to research, design, implement, and deploy scalable computer vision, deep learning, and image processing solutions to discover visual and associated textual relationships

• Develop tools to assist with algorithm development, algorithm testing, and image quality evaluation and validation

• Work closely with infrastructure engineers to make sure that your algorithms will effectively scale to large data sets and to ensure that their systems provide the flexibility needed for your ideas to become visible and real

• Measure the impact of your changes and come up with ideas for how to maximize that impact

• Prepare the reporting of data analysed in visual form

Benefits:

• Share scheme

• Company pension

• Office snacks

• Healthcare

Education Requirements:

• A bachelor or above in statistics, computer science, data science or related disciplines

Experience Requirements:

• Minimum 1+ years working experience in a modelling/ analysis/ statistics role

• Not less than 2+ years of solid experience in big data projects

Other Requirements:

• Strong computational background with experience in R, C++, Python and other data and code manipulation methodologies

• Experience using machine learning and deep learning framework such as TensorFlow, Keras, PyTorch etc and proficient with libraries such as numpy, matplotlib, scikit learn etc

• Formal training in big data analysis and knowledge in big data platform

• To be familiar with and hands-on experience on Big Data modelling techniques including logistic regression, decision tree and machine learning

• Positive attitude, good business acumen and can work under tight timeline

Responsibilities:

• Assist Team to develop and maintain NLP, computer vision and speech recognition models

• Leverage big data analytic techniques to build predictive models from voluminous data collected from customer touch points

• Perform statistical analyses and provide insightful comments for business team

• Lead fellow analysts to complete modelling and analytic projects

• Drive automation of analytical projects with the team

Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness