Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. Ph.D. preferred

Experience Requirements:

• 5+ years of industry experience in machine learning engineering or related roles

Other Requirements:

• Expertise in machine learning techniques

• Proficiency in programming languages such as Python

• Strong understanding of cloud computing platforms

• Hands-on experience with containerization technologies

• Solid understanding of software engineering best practices

• Excellent problem-solving skills

• Strong communication and collaboration skills

Responsibilities:

• Design, develop, and deploy state-of-the-art machine learning algorithms and models

• Collaborate with cross-functional teams

• Lead end-to-end machine learning projects

• Architect scalable and efficient ML pipelines

• Optimize model performance and scalability

Benefits:

• Work with world leaders in computational game theory

• Unique opportunity to apply game theory-based software products to the real world

• Ability to work directly with world-leading AI experts

• Company is already profitable

• CMU startup in close proximity to CMU (Carnegie Mellon University startup in close proximity to CMU in Pittsburgh, PA.)Competitive compensation, including equity in a fast-moving, profitable startupCompany has a no-jerks policy

Education Requirements:

• PhD

Other Requirements:

• US citizenship

• Eligibility to obtain TS/SAP clearance

• Strong software development skills

• Excitement to change the world with AI products

• Desire to work with world's leading experts in a fast-moving environment

Responsibilities:

• Work on the world’s best fighter pilot AIs

• Work on wargaming AIs for some of the most important scenarios in the world

• Leverage the world's leading course-of-action generation and execution AI system

Experience Requirements:

• Solid experience in software engineering, especially in relation to AI or machine learning projects

Other Requirements:

• Proficiency in programming languages commonly used in AI research (e.g., Python, C++)

• Experienced in version control and code reviews, familiar with automatic integration, deployment development environment

• Experience with machine learning frameworks and tools

• Strong problem-solving skills, with a knack for creative and innovative thinking

• Excellent teamwork and communication skills

Responsibilities:

• Experiment with and adopt the latest research techniques in AI and machine learning

• Develop, maintain, and enhance benchmarks for evaluating AI performance

• Implement and continuously refine our agent architecture to improve functionality and efficiency

• Contribute to the creation of a seamless experimental framework, supporting the integration of research findings into product development

Education Requirements:

• PhD in a relevant computational field

Experience Requirements:

• Proven research experience

Other Requirements:

• Proficiency in programming languages relevant to AI research, particularly Python

• Strong familiarity with machine learning, especially in areas like computer vision, reinforcement learning, natural language processing, or robotics

• Ability to work independently and as part of a team, bringing fresh ideas and perspectives to complex challenges

• Strong analytical and exceptional problem-solving skills, with the ability to develop innovative solutions and approaches beyond traditional methods

Responsibilities:

• Conduct thorough research and review relevant scientific papers

• Develop and design benchmarks for evaluating AI performance

• Create and iterate on agent architectures to enhance AI capabilities

• Run experiments to test hypotheses and improve agent functionalities

• Collaborate with a cross-functional team to align research goals with company objectives

Education Requirements:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Experience Requirements:

• Minimum of 7 years in AI research and development, with at least 2 years in a leadership role

• Proven track record of developing and deploying AI models in production environments, particularly in NLP and LLMs

• Demonstrated experience in taking AI research projects from Proof of Concept (POC) through to full-scale production deployment

• Proven experience in designing and implementing MLOps data pipelines that securely handle production customer data for analysis, model retraining, and fine-tuning

Other Requirements:

• Understanding of Deep Learning, Transformer Architecture, and LLM training and fine-tuning techniques like LoRA, Quantization, MoE

• Expertise in machine learning frameworks such as TensorFlow, PyTorch, or similar

• Strong programming skills in Python and familiarity with the LLMOps domain: LangChain, CrewAI, HuggingFace, etc.

• Understanding of LLM application optimization techniques, including Quantization, Prompt Engineering, and Model Distillation

• Proven ability to perform hands-on AI research and development

• Ability to analyze complex problems and develop innovative AI-driven solutions

• Proficient in data analysis, model evaluation, and performance tuning

• Excellent leadership and team management abilities

• Exceptional communication skills, both verbal and written

• Highly organized and self-driven, with the ability to manage multiple projects simultaneously

• An all-star team player with a “can do” attitude

• Strategic thinker with a passion for continuous learning and improvement

Responsibilities:

• Oversee the design and implementation of algorithms that evaluate the appropriateness of LLM responses

• Suggest innovative methods to understand and interpret the context of textual data for sensitivity analysis

• Design AI solutions with efficiency, scalability, and performance in mind

• Engage in hands-on AI development and research to drive innovation and maintain technical excellence

• Be a source of knowledge and innovation for the company and drive research into new fields associated with Knostic's goals in LLM security

Benefits:

• Competitive salary and equity options

• Comprehensive health, dental, and vision insurance

• Flexible working hours and remote work options

• Professional career development opportunities

• Dynamic and supportive work environment

Education Requirements:

• M.S. in a STEM field

Experience Requirements:

• 5+ years of research experience

• Deep expertise in machine learning, deep learning, and AI algorithms

• Experience with recommendation systems

• Demonstrated ability to conduct machine learning research studies to analyze data and identify opportunities

• Strong programming skills, proficient in ML languages (Python, SQL, Java, and data science libraries: TensorFlow, PyTorch, OpenCV)

Other Requirements:

• Contributions to research communities like Github

• Experience mentoring or managing junior scientists or engineers

• Strong publication record in AI or related fields

• Excellent written and oral communication skills

• Excellent Interpersonal communication and organizational skills

Responsibilities:

• Lead advanced research projects in artificial intelligence and machine learning

• Stay abreast of the latest AI trends, methodologies, and technologies and assess their applicability to our business needs

• Develop new algorithms and models, enhancing our capabilities in areas such as predictive analytics, Causal Inference and Recommendation systems

• Guide a team of AI researchers and data scientists

• Plan and oversee the execution of research projects, ensuring they meet quality standards and deadlines

Benefits:

• Competitive salary and equity options

• Comprehensive health, dental, and vision insurance

• Flexible working hours and remote work options

• Professional career development opportunities

• Dynamic and supportive work environment

Experience Requirements:

• Experience as a data scientist or data analyst

• 2+ years with Data mining

• A clear understanding of machine learning and operations research

• Exceptional technical writing skills

• The ability to communicate complex data in a simple, actionable way

Other Requirements:

• Proficiency in data science languages such as Python or R

• Experience with SQL and database management

• Familiarity with machine learning frameworks and statistical analysis methods

• Experience in developing and deploying machine learning models

Responsibilities:

• Design and implement advanced data models and algorithms

• Perform statistical analysis and predictive modeling to support various business needs

• Continuously improve existing models based on evolving data sets and business requirements

• Conduct comprehensive data analysis to extract actionable insights

• Develop and maintain dashboards and reports for internal teams, especially for sales and operations

Benefits:

• Full-time contract

• Competitive salary

• Work in a vibrant, creative, and happy environment

• Meet and collaborate with a highly specialized team with diverse backgrounds

• Career evolution

Education Requirements:

• University degree with a strong quantitative orientation

Other Requirements:

• Eligibility to work and reside in Belgium

• Fluent in English and Dutch

Responsibilities:

• Organize, sort, manipulate large databases

• Run statistical models and develop predictive models

• Work in collaboration with business partners

• Use programming languages such as R and Python

• Create and present elaborate reports

Education Requirements:

• MD and/or PhD degree in biomedical sciences, or a related discipline, with at least 3-5 years of working experience

• Master’s degree with demonstrable experience consistent with the position responsibilities

Experience Requirements:

• Proven experience in running or supporting clinical investigations

• Prior industry experience in a customer-facing role is desired, but not required

• Hands-on experience with ISO 13485 and Software as a Medical Device regulations

Other Requirements:

• Exceptional interpersonal and communication skills

• Demonstrated ability to work both independently and collaboratively as part of a team

• Ability to take a hands-on approach to problem-solving and project management/execution

• Must have the ability to travel to hospitals, healthcare IT partners, and attend medical congresses

Responsibilities:

• Engage and collaborate with clinical experts

• Maintain and develop a network of clinical Key Opinion Leaders (KOL’s)

• Provide feedback and input on the roadmap towards the long-term clinical strategy

• Write research proposals, publish studies with our customers, and apply for grants

• Act as the clinical voice towards our engineering team. As a Clinical Product Owner you'll help define and prioritise the backlog.

Benefits:

• Work where and when you want

• Bruto hourly wage fitting your experience

• We are always available for your questions

Education Requirements:

• At least third-year medical student

Experience Requirements:

• Affinit y for the technical aspect of medicine

Other Requirements:

• Precise

• Let us know if you encounter problems

Responsibilities:

• Help develop our Large Language Model (LLM) by annotating medical data

• Indicate the content of each part of a piece of medical text

Education Requirements:

• PhD in Remote Sensing, Environmental Science, Geospatial Science, or a related field

Experience Requirements:

• Extensive experience with remote sensing techniques, particularly for flood detection and analysis

• Proven expertise in change detection and workflow development for event mapping

• Proficiency in using GIS and remote sensing software (e.g., ArcGIS, ERDAS IMAGINE) and programming languages (e.g., Python, R)

• Strong analytical skills and the ability to translate complex data into actionable insights for flood risk management

Responsibilities:

• Lead the development and application of remote sensing methodologies for flood detection, change detection, and event mapping

• Design workflows that enable efficient processing and analysis of satellite and aerial imagery for flood monitoring

• Collaborate with data science and engineering teams to integrate flood detection models into our platform

• Conduct research and develop algorithms to enhance the accuracy of flood event mapping and prediction

• Provide technical expertise and guidance on flood-related risk assessment and management strategies

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Experience Requirements:

• 5-8yrs

Experience Requirements:

• At least 2 years’ experience in a Credit Risk analytical role

Other Requirements:

• Expertise in credit risk management for revolving / non revolving products

• Prior experience of working with at least one of the 3 major US credit bureaus

• Strong analytical skills to understand the business process needs and translate them to system requirement specifications

• Proficiency with one or more database querying tools (SQL, R, Python)

• Proficiency with analytical tools and visualization software (e.g., Excel, Tableau, MongoDB)

• Attention to detail and quality of the deliverables and a growth mindset

Responsibilities:

• Design tools and monitor the credit performance on client’s portfolios and intervene as needed

• Identify common risks and possible solutions across Scienaptic’s clients

• Develop insights to inform strategy improvements and new product use cases

• Become the resident SME for Scienaptic’s solution and optimal strategic use

Experience Requirements:

• Experience in qualitative and/or quantitative research, ideally within marking, brand consulting or strategy

Other Requirements:

• Clear writing

• Strong analytical skills with the ability to translate data into meaningful insights

• Excellent communication skills

• Creativity and strategic thinking in designing research methodologies

• Collaborative, growth mindset

• Diverse lived experiences that help us deeper and broaden our lens on the world

Responsibilities:

• Conduct comprehensive qualitative and/or quantitative research studies for leading brands and organizations on a project-by-project basis

• Analyze data to generate actionable insights and strategic recommendations

• Writer clearly and simply

• Present actionable, easy-to-understand findings

• Work quickly and efficiently

Benefits:

• Hands-on experience working on real-world projects

• Opportunity to develop skills in product analysis and user research

• Mentorship and guidance from experienced professionals

• Flexible work hours

• Certificate of experience

Education Requirements:

• Currently pursuing a degree in Computer Science or a related field

Other Requirements:

• Strong analytical and research skills with attention to detail

• Excellent written and verbal communication skills

• Ability to work independently and as part of a team

• Previous experience in research, data analysis, or user testing is a plus

Responsibilities:

• Research and Analysis: Conduct market research and analyze data to identify industry trends, user needs, and areas for improvement

• User Testing: Plan and execute user testing, then analyze feedback to provide actionable recommendations for product improvements

• Requirement Gathering: Collaborate with the team to document product requirements and ensure effective communication with the development team

• Documentation and Reporting: Prepare reports and maintain organized documentation of research, user feedback, and project progress

Benefits:

• Hands-on experience working on real-world AI projects

• Mentorship and guidance from experienced professionals

• Flexible work hours

• Certificate of experience

• Stipend (Negotiable)

Education Requirements:

• Currently pursuing a degree in Computer Science or a related field

Other Requirements:

• Strong analytical and research skills with attention to detail

• Excellent written and verbal communication skills

• Ability to work independently and as part of a team

• Previous experience in AI and ML is a plus

Responsibilities:

• Innovation & Trends: Stay updated on AI advancements and contribute new ideas

• Research & Analysis: Conduct market research and analyze data to identify AI trends and opportunities

• Documentation & Reporting: Prepare reports on research findings

• User Testing: Plan and conduct user testing, gather feedback, and suggest improvements

• Requirement Gathering: Assist in documenting and understanding product requirements and user stories

Education Requirements:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field

Experience Requirements:

• 2 to 4 years of relevant experience in the field of analytics

Other Requirements:

• Analytical Skills, Data Analytics, and Data Modeling

• Strong communication skills, both written and verbal

• Experience in analyzing and interpreting complex data sets

• Proficiency in data visualization tools and techniques

• Attention to detail and problem-solving abilities

Responsibilities:

• performing day-to-day activities such as data analytics, data modeling, MIS, building dashboards and statistical analysis

• communicate findings and insights to stakeholders and collaborate with the AI team to develop comprehensive solutions

Education Requirements:

• Bachelor’s degree in computer science, Data Science, Statistics or related field

Other Requirements:

• Demonstrated interest in machine learning and artificial intelligence is essential

• Knowledge of statics and probability is a must

Responsibilities:

• Study and transform data science prototypes

• Select appropriate datasets and data representation methods

• Run machine learning tests and experiments

• Research and implement appropriate Machine Learning algorithms and tools

• Develop machine learning applications according to requirements

Experience Requirements:

• 4-8 Years

• Experience in Data Science, Python, SQL, Modeling, CPG, Market Mix Modeling, Pricing & Promotions