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:

• Competitive salary

• Personal Growth

• Equity

• Flexible Remote Work

• Diverse Team

Experience Requirements:

• 5+ years of experience

Other Requirements:

• Strong proficiency in applying for and securing research grants

• Excellent project management skills

• Strong communication and interpersonal skills

Responsibilities:

• Act as the primary liaison between Music Health and our global research partners

• Lead the application and submission process for grants

• Manage and oversee research projects

• Coordinate and execute case studies

• Collaborate with cross-functional teams

Benefits:

• Competitive salary

• Personal Growth

• Equity

• Flexible Remote Work

• Diverse Team

Experience Requirements:

• 5+ years of experience

Other Requirements:

• Strong proficiency in AWS Cloud, Python, and MySQL

• Experience with music information retrieval, health data analysis, and sentiment analysis

• Excellent problem-solving skills

Responsibilities:

• Develop and maintain scalable machine learning models

• Work on the core IP for Precision Music™

• Collaborate with cross-functional teams

• Ensure the performance, quality, and accuracy of machine learning models

• Identify and correct bottlenecks and fix bugs

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

Education Requirements:

• M.Sc.

• PhD

Experience Requirements:

• 3+ years of experience in deep learning development

Other Requirements:

• Demonstrated excellence (e.g., elite unit background, academic distinctions, upward career trajectory)

• Proven record of developing state-of-the-art deep learning methods in computer vision

• Experience working on 3D modeling and rendering with neural networks

• Experience developing computer vision algorithms such as detection, segmentation, depth estimation, and tracking

Responsibilities:

• Develop novel deep learning algorithms for a wide range of computer vision tasks

• Design and implement the entire pipeline of data processing, training, and testing

• Work on the cognitive map of the robot, including 3D modeling of the world, semantics, and perception

• Deploy highly optimized models to run in real-time on the robot

Education Requirements:

• M.A.

• M.Sc

Experience Requirements:

• At least 8 years of practical experience as a researcher with significant business experience

• At least 5 years of experience managing highly qualified Data Scientists/Analytics professionals

Other Requirements:

• Expertise in a wide range of machine learning/statistical/data analysis and state-of-the-art algorithms & applications

• Experience in working with external data sources, real-time data & processing big data covering both structured and unstructured data

• Practical experience in addressing real-world business problems. (e.g., pricing, product personalization, event detection, etc.)

• Experience building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.)

• Proficiency in Python and Scala

• Strong technical and technological background with good familiarity with a wide range of ML /AI & Big data tools/solutions/platforms with a particular interest in open-source solutions/tools (e.g., AWS Sagemaker, MLOps tools, etc.)

• Sufficient mathematical background for reading applied academic papers

• Strong verbal & written English communication skills

Responsibilities:

• Lead a team of data scientists and engineers

• Build and grow the Earnix Labs program

• Have an impact on the Earnix products

Education Requirements:

• M.Sc.

• PhD

Experience Requirements:

• 3+ years experience in applied research up to production code level in Machine Learning / Deep Learning, focusing on NLP

Other Requirements:

• Good understanding of DNNs and experience with PyTorch / TF / other platforms

• Experience in finetuning and evaluating LLMs - advantage

• Team player with excellent communication skills

• Proficient in Python development

• Self-learner and excited about new domains

Responsibilities:

• Work together with the product team to establish research problem, criteria for success, and convert these into measurable goals and objectives

• Explore existing approaches to research problems as well as develop new ones

• Conduct end-to-end data-driven research and development