Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Experience Requirements:

• At least 5 years of experience in implementing and training models including advanced degrees (MS/PhD, if any).

Responsibilities:

• implement new model backbones, architectures and training algorithms,

• rapidly run and iterate on experiments and ablations,

• build training infrastructure that scales to massive multimodal datasets,

• stay up-to-date on new research ideas.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Lead the design and creation of high-quality datasets tailored for training cutting-edge audio models, focusing on tasks such as speech recognition, enhancement, separation, synthesis, and speech-to-speech systems.

• Develop strategies for curating, augmenting, and labeling audio datasets to address challenges like noise, variability, and diverse use cases.

• Design innovative data augmentation and synthetic data generation techniques to enrich training datasets and improve model robustness.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct cutting-edge research to improve the efficiency, scalability, and robustness of inference for state-of-the-art AI models across various modalities, including audio, text, and vision.

• Design and optimize inference pipelines to balance performance, latency, and resource utilization in diverse deployment environments, from edge devices to cloud systems.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures).

• Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct cutting-edge research at the intersection of machine learning, multimodal data, and generative modeling to advance the state of AI across audio, text, vision, and other modalities.

• Develop novel algorithms for multimodal understanding and generation, leveraging new architectures, training algorithms, datasets, and inference techniques.

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Health Insurance (Allianz)

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Experience Requirements:

• 6+ years of experience in security research, threat intelligence, or vulnerability analysis.

• Experience conducting in-depth security research on emerging threats, vulnerabilities, and attack techniques.

• Strong expertise in reverse engineering, malware analysis, and exploit development.

• Deep understanding of operating system internals, network security, and cryptography.

• Familiarity with security frameworks and methodologies such as MITRE ATT&CK.

Other Requirements:

• Strong analytical skills with the ability to communicate complex security concepts effectively.

Responsibilities:

• Work closely with security teams to implement defensive capabilities and response strategies for an AI product.

• Publish research findings through technical reports, whitepapers, or at security conferences.

• Collaborate with the broader security community to share insights and best practices.

• Stay current with the latest cybersecurity trends, adversarial tactics, and defense mechanisms.

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• clear career plan with defined goals

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Master's degree or PhD in computer science, data science, artificial intelligence, mechanical engineering or a related field

Experience Requirements:

• 5 years of proven experience in the development of complex software projects

• At least 3 years of professional experience in the development and shipment of AI algorithms in the field of computer vision Experienced in the independent development of software projects

• Several years of professional experience in the development and implementation of AI models and algorithms.

Responsibilities:

• ​Holistic and independent development and shipment of AI models to the customer using our existing data pipeline as well as improvement and extension of existing models Data acquisition, support in annotation processes Further development of data and training pipelines as well as our data workspace Design of AI algorithms (architectures, training procedures, etc.), hyperparameter optimization as well as measurement and implementation of performance-enhancing measures Software-side implementation of AI algorithms in Python with PyTorch Development of interfaces and integration of algorithms in real-time applications Management and maintenance of cloud training environment and data pipeline (Microsoft Azure) Technology stack: Python, PyTorch, PyTorch-Lightning, Azure-ML, Docker, Jupyter notebooks, etc. Technology scouting and active participation in technology decisions Work in autonomous Scrum teams in flat hierarchies with plenty of room to help shape things Collaboration in agile processes with colleagues as well as national and international partners and customers. Willingness to travel to customers and desire to develop the team on site

Benefits:

• Healthcare, dental, and vision insurance for your entire family (100% premiums paid for employees; 80% for dependents)

• Equity (stock options) valued between $50,000 - $150,000.

• Unlimited vacation and 15+ company holidays per year

• Work directly with the founders

Experience Requirements:

• Strong background in research and data analysis, preferably in the healthcare domain.

• You’ve built numerous side projects that deal with data and applications, ideally in healthcare.

• Proficiency in statistical analysis and data visualization tools.

• Experience with querying and analyzing healthcare data using tools like Athena, Python.

Other Requirements:

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Responsibilities:

• Evaluate and compare the performance of our large medical model (LMM) against Large Language Models (LMM) and existing risk adjustment methodologies to identify strengths and areas for improvement.

• Develop a deep understanding of Medicare, Medicare Advantage, Medicaid and commercial insurance models and analyze their differences and implications for our model.

• Utilize data querying tools such as Athena, DuckDB and Polars to extract and analyze relevant healthcare data.

• Create informative and visually appealing graphs, charts, and reports to present research findings and insights.

Education Requirements:

• BA / BS degree in a quantitative field (Math, Stats, Physics, Computer Science) with 2+ years of experience.

Experience Requirements:

• Understanding and application of statistical concepts in A|B testing, causal inference, ML, etc.

• Previous experience in analyzing and working with over 10 terabytes of data

• Expert level experience with data analysis in SQL and Python

Other Requirements:

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Responsibilities:

• Act as a strategic partner to assist with ML model development, evaluation and performance

• Carry out exploratory analysis and data visualization and summarize analysis results.

• Conduct comprehensive exploratory analysis, data visualization, and effectively communicate analysis outcomes.

• Apply rigorous statistical methods for bias and drift analysis, cohort analysis, etc.

Education Requirements:

• BA / BS degree in a quantitative field (Math, Stats, Physics, Computer Science) with 5+ years of relevant experience, or a PhD in a related field with 2+ years of experience.

Experience Requirements:

• Understanding and application of statistical concepts in A|B testing, causal inference, ML, etc.

• Previous experience in analyzing and working with over 10 terabytes of data

• Expert level experience with data analysis in SQL and Python

• Experience with claims data is required

• Strong familiarity with healthcare organizations calculations like STARS, HEDIS, HCC, Cost, and Risk Adjustment.

Other Requirements:

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Responsibilities:

• Act as a strategic partner to assist with ML model development, evaluation and performance

• Carry out exploratory analysis and data visualization and summarize analysis results.

• Conduct comprehensive exploratory analysis, data visualization, and effectively communicate analysis outcomes.

• Apply rigorous statistical methods for bias and drift analysis, cohort analysis, etc.

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:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave, work-life balance support, flexible hours

Education Requirements:

• Chemistry, engineering or other related science degree

Experience Requirements:

• A self-starter with proven critical thinking, problem solving skills and attention to detail

Other Requirements:

• Proficiency in MS Office

• Strong communication skills both written and verbal

• Quick learner, coachable and adaptable; must be able to retain and apply new information quickly

• Strong demonstrated ability to research

Responsibilities:

• Develop formulas, product specifications, processing parameters and create functionality studies for new maintenance chemicals.

• Conduct field trials and collaborate with internal and external customers to evaluate new products/system performance, assist in preparation of reports/presentations.

• Develop standard operating procedures, compatibility studies and evaluation of new equipment.

• Oversee the testing of physical attributes, stability, and performance of products.

• Recognize early failures and discuss with program leader.

Education Requirements:

• degree in a quantitative or business discipline

Benefits:

• Competitive Salary Offering

• Company Equity Package

• Hybrid Workplace Model

Benefits:

• Competitive Salary Offering

• Company Equity Package

• Hybrid Workplace Model

Education Requirements:

• Doctorate in Computer Science or applied mathematics, computer vision, or equivalent experience.

Other Requirements:

• Knowledge and a keen interest in machine learning methods for computer vision/graphics, including applications such as image synthesis/editing, segmentation, deep convolutional neural networks etc.

• Passionate about using innovative techniques to solve real world problems.

• A good understanding of object oriented programming with experience in C++/Python.

• Ability to work in a small dynamic team and manage time effectively.

Responsibilities:

• Product driven design and development of machine learning based vision and graphics models based on the latest research.

• Integrating new models and algorithms within our software products.

Education Requirements:

• Bachelor’s degree in Computer Science, a related field or equivalent experience

Experience Requirements:

• 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data

• Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields

• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)

Responsibilities:

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love

• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners

• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development

• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Benefits:

• Big impact - join us to define a novel industry.

• Flexible schedule with a global, remote team.

• Work on products that matter to people. Unleash the creativity of millions, create solutions loved by users!

Other Requirements:

• You are passionate about empowering people's creativity with AI.

• Generative models are no strangers to you. You are experienced with at least one of the following: face reenactment, pose transfer, animation synthesis, 2D-to-3D conversion.

• You can train, tune, and deploy deep-learning models. Building novel prototypes and productionizing them to serve millions of users is what gets you excited.

• You love solving open challenges with a "hacker" mindset. Expanding your comfort zone is what you do on a daily basis.

• You are result-oriented. Fail fast, learn fast, and ship fast.

• You are a team player.

• You speak and write fluently in English.

• You live anywhere in the world and fully embrace remote work.

Responsibilities:

• Make science fiction a reality, using AI. You will be one of our key researchers contributing to the generative tech stack. You will review the latest ML research, build prototypes, test and work with the engineer team to productionize them. What you build will directly wow our users.

• You will work on state-of-the-art generative technologies to create frictionless experiences for creating visual content. Projects include: face reenactment, pose transfer, animation synthesis, 2D-to-3D conversion, etc.

• You will be challenged to think out-of-the-box and to fulfil out users' needs in creative ways.

• You will contribute to the core product roadmap and build the next generation content creation platform.