AI Jobs

Benefits:

• Fully remote work environment

• Work from home budget

• Dedicated learning time and budget

• In-person Overstory team gatherings

Experience Requirements:

• At least 5 years of commercial experience as a Data Scientist or Machine Learning Engineer, with deep data science skills and experience at early-stage or remote-first organizations

• Intermediate-level technical skills, especially with modern tech stacks including Python and its scientific libraries, Jupyter ecosystem, GCS or other cloud platforms, and best practices with code management and infrastructure

• Experience taking products from 0-1 with supporting product team, comfortable iterating on prototypes and using low-cost mocks and visualizations to develop ideas

• Advocate for products which account for and communicate probabilities or uncertainty, helping to build confidence with stakeholders

Other Requirements:

• Passionate about climate

• You are based in the GMT/ CET time zone. Open to US ET for those that are able to have significant overlap with GMT/ CET working hours

Responsibilities:

• Develop new wildfire risk and resilience projects using machine learning, deep learning, or wildfire models.

• Provide scientific and wildfire domain expertise to help guide successful product development.

• Support and grow the scientific community within Overstory

Benefits:

• Working in a team with extraordinary scientists and business professionals with proven track records

• Working in a varied environment: balancing between the market requirements and science

• Working with our innovative enterprise customers

• Be part of bringing state-of-the-art technology to an emerging market

• Focus on your personal development, both professionally and individually

Education Requirements:

• You have computer science and artificial intelligence knowledge at the MSc level

Experience Requirements:

• You have experience in machine learning and general programming, specifically Python

• Experience with machine learning libraries, preferably PyTorch

• Familiarity with deep generative models

Other Requirements:

• You are self-sufficient and an individual contributor

• You can adapt to our product vision and technology quickly

• You can bring innovation to the team and the product from a technical perspective

• You have a start-up and can-do mentality

• You are pragmatic and flexible, and a communicator

Responsibilities:

• translating new research into a product that solves real-world problems

• implementing new models

• designing data encoding schemes

• running experiments

• deploying optimised inference pipelines and packaging everything in a working project

Benefits:

• Competitive salary and equity

• MacBook Pro, 5K display, and accessories

• Company-paid co-working space

• Work remotely

Experience Requirements:

• 5+ years of experience

Responsibilities:

• Help build httpie.ai

Experience Requirements:

• Strong analytical skills

• Ability to synthesize large volumes of data

• Experience with quantitative and qualitative data analysis methods

• Excellent communication and presentation skills

Responsibilities:

• Supporting senior leadership on research projects

• Meeting client needs across topics such as misinformation, climate, public health and international democracy

• Synthesizing large volumes of data and information into actionable insights and recommendations

• Analyzing and communicating complex information in concise and digestible formats

Benefits:

• Remote work options

• Hybrid work options

• Learning development opportunities

• Unlimited annual leave

Education Requirements:

• Engineering, mathematics, computer science, or any other STEM related degree (Honours level)

• Graduated with distinction

• Masters degree is advantageous

Experience Requirements:

• 1+ year experience in a client facing role presenting analytics to business teams

• 1+ year experience performing analytics, generating findings and implementing improvements

Responsibilities:

• Working with data engineering and data science teams on technical and strategic planning and execution of department goals

• Perform detailed analysis on microfinance data for the generation of business level recommendations

• Presentation of analysis and recommendations to executive teams

• Implementation of recommendations and evaluation of their performance

• Designing, building and deployment of machine learning models and statistical optimisations in the financial industry

Benefits:

• Remote work options

• Hybrid work options

• Learning development opportunities

• Unlimited annual leave

Education Requirements:

• Engineering, mathematics, computer science, or any other STEM related degree (Honours level)

• Graduated with distinction

• Masters degree is advantageous

Experience Requirements:

• 3+ year experience in a client facing role presenting analytics to business teams

• 3+ year experience performing analytics, generating findings and implementing improvements

Responsibilities:

• Working with data engineering and data science teams on technical and strategic planning and execution of department goals

• Perform detailed analysis on microfinance data for the generation of business level recommendations

• Presentation of analysis and recommendations to executive teams

• Implementation of recommendations and evaluation of their performance

• Designing, building and deployment of machine learning models and statistical optimizations in the financial industry

Benefits:

• Unusual, socially conscious projects

• Little bureaucracy

• Travel to exotic places around the world

Experience Requirements:

• +3 years of experience in machine learning, preferably in computer vision

• Respectable track record in competitive data modeling, and/or notable research achievements.

• Well-versed with the latest trends with top-performing tools and the ML research community.

• Strong fluency in both Python and in the main AI-related tools of the trade

• Strong skills in logical reasoning and critical thinking, and the confidence to both express it and also receive constructive feedback through daily code review

Other Requirements:

• Non-superficial intuitions about AI, beyond "`import blackbox`"

• Highly preferred full-time employment of at least 40 hours per week. Promising students with exceptional skills should contribute at least 24 hrs/week.

• Good fluency in English speaking and writing (typing > 35 wpm).

• Critical thinking skills, expressiveness, and team-oriented attitude.

• And you have to care about the work that you do!

Responsibilities:

• State-of-the-art optical character recognition of handwriting in health information systems

• Computer vision for object detection, segmentation, and video processing for medical applications

• Classification of land usage from satellite imagery, to assist governments with food security

Benefits:

• Unusual, socially conscious projects

• Little bureaucracy

• Travel to exotic places around the world

Experience Requirements:

• Incessant passion for public health and using data to save human life.

• Strong logical reasoning skills, puzzle-solving skills, and attention to detail.

• Fluency working with Excel spreadsheets / Google sheets, and analyzing numbers.

• Proficiency in speaking, reading, and composing clear and correct English.

• English typing speed of at least 45 words per minute.

Other Requirements:

• Enthusiasm for information technology.

• An eye for clarity in the visual presentation of data.

• Highly preferred full-time employment of at least 40 hours per week. Promising students with exceptional skills should contribute at least 24 hrs/week.

• Good fluency in English speaking and writing (typing > 40 wpm).

• Critical thinking skills, expressiveness, and team-oriented attitude.

• And you have to care about the work that you do!

Responsibilities:

• Rigorous statistical analysis of some of the largest fully-electronic, clean, and individual-level healthcare datasets ever captured in human history, in Sub-Saharan Africa.

• Combine your mathematical talent with your empathy for others to bring voice to the untold masses struggling to receive adequate healthcare across the Global South.

• Use numbers, technology, and visualization to build data-driven stories that will change the world.

• Analysis of data to manage project operations and investigate core research objectives for epidemiological surveillance and randomized control trials

Benefits:

• Unusual, socially conscious projects

• Little bureaucracy

• Travel to exotic places around the world

Benefits:

• Unusual, socially conscious projects

• Little bureaucracy

• Travel to exotic places around the world

Responsibilities:

• Composition of scientific experiments and pedagogical materials for teaching fundamental scientific concepts to kids, using our portable spectrophotometer

• Assistance with scientific research, including collection and analysis of data using ScanSpectrum

• Test and benchmark ScanSpectrum devices

• Search for new funding opportunities and research projects, and assist with the composition of proposals

Benefits:

• Flexible work environment

• Medical benefits

• 401K matching

• Generous paid time off

• Learning Management System access

Education Requirements:

• University Degree

Experience Requirements:

• 5+ years of related work experience

Other Requirements:

• Ability to prioritize and handle multiple tasks

• Attention to detail

• Strong organizational and communication skills

Responsibilities:

• Preparing and processing data for research projects

• Assisting clients with questionnaire design

• Producing data files and tables

• Consulting with clients

• Training and mentoring team members

Benefits:

• Flexible work environment

• Medical benefits

• 401K matching

• Generous paid time off

• Learning Management System access

Education Requirements:

• University Degree

Experience Requirements:

• 2+ years of related work experience

Other Requirements:

• Ability to prioritize and handle multiple tasks

• Attention to detail

• Strong organizational and communication skills

Responsibilities:

• Preparing and processing data for research projects

• Assisting clients with questionnaire design

• Producing data files and tables

• Consulting with clients

• Training and mentoring team members

Benefits:

• Two months of year-end bonus (after one year)

• Performance bonus

• Holiday gifts

• Advance office supplies allowance

• Self-improvement subsidy, health promotion allowance

Education Requirements:

• Master's or PhD degree in related field (preferred)

Experience Requirements:

• 2+ years of data science project experience

Other Requirements:

• Clear and concise communication of complex technical issues

• Python development experience

• Familiarity with data analysis packages

• Teamwork skills

• Attention to detail

• Patience, persistence

Responsibilities:

• Data science projects (business problem understanding, data analysis, solution development, result presentation)

• Literature review

• Product development

• Code development, testing, and maintenance

• Project feasibility assessment

Responsibilities:

• Play a crucial role in improving the accuracy and efficiency of algorithms and models

Benefits:

• Encourage independent decision making

• Avoid rules

• Choose people over process

• Offer unlimited vacation policy

Experience Requirements:

• Exceptional engineering and coding skills (in Python or equivalent languages)

• Solid experience building and productionizing innovative end-to-end Machine Learning systems.

• Comfortable working in different parts of the stack.

• Experience with making product decisions based on data and A/B testing.

• Experience with automation and instrumentation.

Other Requirements:

• Background in Machine learning is a plus.

• Knowledge of distributed systems is a plus.

• Experience with server architectures is a plus.

• Knowledge of map-reduce/Hadoop is a plus.

• Experience with RTB is a plus

Responsibilities:

• Build recommendation engines

• Build smart RTB solutions

• Build predictive ML models

• Build data-driven apps and services

Experience Requirements:

• Seasoned Decision Scientist with a strong background in operations research

Responsibilities:

• Apply advanced analytical methods and models to solve complex operational challenges

• Drive decision-making processes across predictive analytics and operations optimization initiatives

• Collaborate closely with data scientists, product managers, and operations teams

• Translate intricate data insights into actionable strategies

• Enhance operational efficiencies and business outcomes

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:

• 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