AI Jobs

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 5+ years experience in data science, with specific experience in growth and paid / performance marketing

• Strong quantitative foundation and experience in statistical modeling

• Expertise in experimental design, with demonstrated experience running both product and marketing experiments

• Worked closely on defining and measuring growth, onboarding, and retention metrics

• Advanced proficiency in SQL and Python for data analysis, statistical modeling, and automation

Other Requirements:

• Applicants must be eligible to work in the US.

• Suno employees are expected to work 5 days/week in one of our offices.

Responsibilities:

• Drive growth strategy through rigorous analysis of both product usage patterns and marketing channel performance

• Design and analyze experiments across product features and marketing campaigns to optimize user acquisition, activation, and retention

• Develop and maintain attribution models to understand the effectiveness of various growth channels and optimize marketing spend

• Build predictive models for user behavior, including conversion propensity, churn likelihood, and lifetime value

• Partner with data engineering to ensure robust data collection and transformation for growth analytics

Education Requirements:

• Master's degree in data analytics, business analytics, or other closely related field

Experience Requirements:

• 1 year of related experience in data analytics

Responsibilities:

• Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks

• Conduct advanced statistical analysis, machine learning, and data mining to drive product insights

• Develop and implement predictive models to support product strategy and decision-making

• Define key performance indicators (KPIs) and develop dashboards to monitor product performance

• Conduct A/B testing and other experimental methods to measure the impact of product changes

Experience Requirements:

• 2 - 3 Years

• 2-4 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.

Other Requirements:

• Proficient in data engineering tools and languages such as Python, SQL, and Java.

• Strong knowledge of business intelligence (BI) tools such as Tableau, Power BI or similar for creating reports and dashboards.

• Ability to work with databases(SQL & NoSQL) and perform complex data queries.

• Familiarity with data wrangling, ETL processes and data cleaning techniques.

• Clear understanding of data warehousing & cloud based analytics .

• Ability to apply data insights to influence marketing strategies, sales tactics, and product offerings.

Responsibilities:

• Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.

• Develop and maintain data reports and dashboards using business intelligence tools (e.g., Tableau, Power BI, etc.)

• Collaborate with business teams to understand key business objectives and data needs.

• Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.

• Ensure data models and structures are well-designed to facilitate analysis and reporting.

Experience Requirements:

• 2 - 3 Years

• Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

Other Requirements:

• Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

• Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face).

• Strong grasp of machine learning concepts, model development lifecycle, and performance evaluation.

• Experience working with transformer-based architectures and generative techniques like GANs, VAEs, or diffusion models.

• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and MLOps tools.

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

• Experience deploying models into production environments.

• Familiarity with LLM fine-tuning, prompt engineering, or synthetic data generation.

• Excellent communication and presentation skills are essential.

Responsibilities:

• Design, develop, and implement machine learning models and algorithms for real-world applications.

• Research and experiment with Generative AI models (e.g., GPT, diffusion models, transformers) to solve complex problems.

• Collaborate in a culture of experimentation, contributing to PoCs, rapid prototyping, and iterative model development.

• Build and maintain data pipelines and infrastructure in collaboration with Data Engineers.

• Partner with cross-functional teams including product, engineering, and analytics to define AI/ML use cases and deliver impactful solutions.

Experience Requirements:

• Experience with deep learning and convolutional networks

• Strong theoretical and empirical research background

• Fluency with a deep learning framework and Python

• Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR

• Large scale machine learning experience working with terabytes of data

Other Requirements:

• Implemented custom operations/modules in a deep learning framework

• Imagination, ambition, and curiosity

Responsibilities:

• Develop highly scalable classifiers and detectors that solve real-world problems

• Learn and understand a large body of research in deep learning and machine learning

• Participate in cutting-edge research for medical applications of computer vision

Benefits:

• Lunch provided daily to onsite employees

• 250 lifestyle stipend per month

• Generous budget for self-improvement: coaching, courses, conferences, etc

• Actively co-create and participate in a positive, intentional team culture

• Frequent team events, dinners, off-sites, and hanging out

Experience Requirements:

• A track record of high-quality papers, open-source projects, or equivalent accomplishments in industry

• Experience with empirical research, with the ability to craft and execute on research projects that solve algorithmic and engineering problems

• 5+ years ML coding and/or research experience

Other Requirements:

• Great intuition with the ability to identify promising areas and avoid dead ends

• A preference for fast, collaborative research efforts

Responsibilities:

• Lead research initiatives in AI-assisted software development

• Develop SotA LLMs on agentic coding tasks via supervised and RL post-training

• Turn ambiguous problems into quantifiable ones

• Keep up to date with state-of-the-art techniques, and use good judgment on when to apply them

• Design and run ML experiments to drive a broader research agenda

Experience Requirements:

• 5 years experience as a data analyst

• Proven experience with ownership of cross-team projects

Other Requirements:

• Investigative and analytical problem-solving skills

• Proactive approach

• SQL and Python proficiency

• Fluency in English

• MongoDB, Neo4j: big advantage

Responsibilities:

• Drive Data-Informed R&D Direction

• Lead High-Impact Analytical Projects

• Mentor and Guide Other Analysts

• Collaborate Across Disciplines

• Participate in delivery of high profile leads to customers.

Benefits:

• Interesting and challenging work

• Competitive salary and equity

• Employee-friendly equity terms (early exercise, extended exercise)

• A lot of learning and growth opportunities

• visa sponsorship and relocation assistance to San Francisco.

Experience Requirements:

• Work published in ICCV, ICML, Neurips, CVPR

Responsibilities:

• develop new methods to solve customers problems

• entirely novel training or architecture developments

• fine-tuning pre-existing models with novel datasets

Benefits:

• Competitive pay rates

• Flexible hours

• Ability to work from home

Experience Requirements:

• Advanced language skills and verifiable experience as being fluent in Mandarin

• A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

• Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

• A reliable and fast internet connection and access to a computer

• A willingness to self-declare your earnings, as our participants are self-employed

• A Paypal account to receive payment from our clients

Responsibilities:

• Completing AI training tasks such as analyzing, editing, and writing in Mandarin

• Judging the performance of AI in performing Mandarin prompts

• Improving cutting-edge AI models

Benefits:

• Competitive pay rates

• Flexible hours

• Ability to work from home

Experience Requirements:

• Python developer skills and verifiable professional experience as a Python developer

• A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

• Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

• A reliable and fast internet connection and access to a computer

• A willingness to self-declare your earnings, as our participants are self-employed

• A Paypal account to receive payment from our clients

Responsibilities:

• Completing AI training tasks such as analyzing, editing, and writing Python

• Judging the performance of AI in performing Python-related prompts

• Improving cutting-edge AI models

Benefits:

• Competitive pay rates

• Flexible hours

• Ability to work from home

Experience Requirements:

• Python developer skills and verifiable professional experience as a Python developer

• A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

• Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

• A reliable and fast internet connection and access to a computer

• A willingness to self-declare your earnings, as our participants are self-employed

• A Paypal account to receive payment from our clients

Responsibilities:

• Completing AI training tasks such as analyzing, editing, and writing Python

• Judging the performance of AI in performing Python-related prompts

• Improving cutting-edge AI models

Benefits:

• Generous share options

• Tax-efficient EMI share option scheme

Experience Requirements:

• Deep learning expertise with significant industry experience

• c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation

• Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX

• Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models

• Deep knowledge of machine learning fundamentals and cloud experience

Other Requirements:

• Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with

• Excellent verbal and written communication skills with a proven track record of mentoring and coaching others

• Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders

• Use of Python libraries that encourage best practices such as pytest, pylint, black etc.

• Experience with symbolic reasoning engines and integration with neural networks

Responsibilities:

• Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems

• Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning

• Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment

• Write high-quality, robust code that integrates neural and symbolic components

• Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences

Benefits:

• Generous share options

• Tax-efficient EMI share option scheme

Experience Requirements:

• Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation

• Demonstrable experience leading in an individual contributor capacity —setting technical direction, influencing others, and delivering high-impact work without direct management responsibilities

• Experience mentoring and coaching colleagues, offering guidance on both technical and professional development

• Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX

• Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models

Other Requirements:

• Deep knowledge of machine learning fundamentals and cloud experience

• Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with

• Excellent verbal and written communication skills with a proven track record of mentoring and coaching others

• Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders

• Use of Python libraries that encourage best practices such as pytest, pylint, black etc.

Responsibilities:

• Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems

• Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning

• Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment

• Write high-quality, robust code that integrates neural and symbolic components

• Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences

Benefits:

• open, supportive, transparent, and continually learning culture to all its employees.

• working in Platform94

Education Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Intelligence, or a related field.

Experience Requirements:

• 2 to 5 years of experience in data science, business intelligence, or similar roles.

• Proven experience in creating dashboards and data visualizations.

Other Requirements:

• Valid authorisation to work in Ireland.

Responsibilities:

• Apply statistical techniques and build predictive models to support business decisions.

• Create compelling visualisations that translate data into actionable insights.

• Develop algorithms for business to help in strategic decision-making.

• Utilise modern tools and technologies to manage, analyse, and visualise data.

Benefits:

• Amazing Benefits

• Social Impact opportunities

• Talent development opportunities

• Community fostering at Okta

Education Requirements:

• BA or higher degree preferred

Experience Requirements:

• 3+ years of experience in data management, data engineering, data analytics, or product management

• 3+ years of hands on experience with data visualization tools (Tableau, Looker, PowerBI)

• 2+ years of SQL experience

• Strong understanding of data lifecycle management

• Ability to build relationships with partners and stakeholders, distill business requirements into technical documentation, and prioritize work

Other Requirements:

• Experience with third-party web analytics tools (Heap, Google Analytics, Adobe Analytics)

• Experience with cloud-based data warehouse technologies (Snowflake, BigQuery, Databricks)

• Experience with data engineering tools (dbt, Fivetran, Python, Kafka, Parquet, Hightouch)

• Experience with paywall, subscription, or authentication based products

Responsibilities:

• Partner with peers in product, engineering and program management to develop scalable measurement strategies

• Drive scalable, semantic data models

• Educate and enlighten data stakeholders with newly available objects and models

• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Incidents, Developers, Quality, etc.)

• Deliver executive dashboards and product insights based on foundational productionalized data models

Education Requirements:

• Master’s degree, or foreign degree equivalent, in Business Analytics, Statistics, Mathematics, Computer Engineering, or a related field

Experience Requirements:

• 4 years of experience in Machine Learning, Data Analytics, and Visualization.

• 4 years of experience creating Machine Learning pipelines and optimization

• 4 years of experience using open-source programming languages for large scale data analytics, including data handling and machine learning packages.

• 4 years of experience in creating machine learning models and strategies

• 1 year of experience in AI research and deep learning

Other Requirements:

• Employer will only employ those who are legally authorized to work in the United States for this opening.

• Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable).

Responsibilities:

• Build advanced machine learning models, including deep learning models, gradient boosting machines, time series models, statistical models and clustering analysis based on project requirements.

• Check model stability, model optimization and model performance measurements and perform exploratory data analysis, feature selection, and data visualization.

• Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions.

• Develop frameworks for tracking and measuring results produced by analytics models.

• Research new machine learning techniques and advanced analytics solutions and implement them on Ether, our Machine Learning and Artificial Intelligence based platform.

Benefits:

• International team

• Fully remote company

• Fun team building events

• Flexible working time

• Home office budget up to €1500

Experience Requirements:

• 5+ years of experience as a Data Scientist or Machine Learning Engineer

• Proficiency in Python, including experience with libraries such as Scikit-Learn, NumPy, Pandas, and PyTorch/TensorFlow

• Proficiency in SQL and experience working with data warehouses (e.g., Snowflake, GCP)

• Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques

• Experience with cloud platforms for model training and deployment

Other Requirements:

• Analytical mindset

• Strive to understand business challenges and leverage ML to solve them

• Stay calm in the face of challenges and have an infectious, can-do attitude to solving problems

• Aptitude for digesting complex ML concepts and effectively communicating them to both technical and non-technical audiences

• Team player with high integrity - you can remain flexible as we grow

Responsibilities:

• Define and evolve our infrastructure to allow for better ML capabilities

• Identify, source, and refine datasets to allow tuning models and create ML opportunities

• Pre-process data by using techniques such as data cleaning, feature engineering, and transformation

• Train, evaluate, and deploy machine learning models up to production

• Monitor, debug, and continuously improve deployed models

Education Requirements:

• MSc in a quantitative field (Computer Science. Statistics, Software\Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

• Deep understanding of machine learning models and statistical inference

Other Requirements:

• Great communication and interpersonal skills

Responsibilities:

• Be part of a data-science team where you will lead end-to-end ML projects. (from business understanding through data exploration, research, algorithm development, evaluation, optimization & A/B testing to model deployment)

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve our ML pipeline

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev and DevOps teams

Education Requirements:

• Ph.D. with first division in the preceding degree or equivalent in the relevant discipline, with a good academic record throughout

Experience Requirements:

• Less than 2 years of experience in Computer Vision for Autonomous Systems

• Less than 2 years of experience in Dependable AR-VR for X

• Less than 2 years of experience in CV and VR for Industry 4.0

• Less than 2 years of experience in Imaging for Document Analysis

• Less than 2 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

• Ph.D. with first division in the preceding degree or equivalent in the relevant discipline, with a good academic record throughout

Experience Requirements:

• 2 to 5 years of experience in Computer Vision for Autonomous Systems

• 2 to 5 years of experience in Dependable AR-VR for X

• 2 to 5 years of experience in CV and VR for Industry 4.0

• 2 to 5 years of experience in Imaging for Document Analysis

• 2 to 5 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications