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

Benefits:

• Free parking - onsite underground car park

• No oncall, weekend or public holiday commitment

• Staff discounts on cosmetic products and treatments

• Friendly team

Experience Requirements:

• Minimum 2 years of experience in perioperative nursing

Other Requirements:

• Unconditional APHRA registration, with full working rights in Australia

• Commitment to quality patient care

• Excellent communication and customer service skills

• Works well independently and within a team

• Current Police Check

• COVID-19/Influenza vaccination certification and immunisation history

Responsibilities:

• Delivering exceptional clinical care

Benefits:

• Industry-leading pay

• Flexible hours

• Meaningful work and transparency

• Develop your skills in AI training

Responsibilities:

• AI training

Education Requirements:

• Ph.D. in Maths, engineering, physics, or computer science degree

• 1+ years of experience in software development

Experience Requirements:

• 1+ years of experience in software development

Other Requirements:

• Deep understanding of time series analysis, regression analysis, probability theory and statistics

• Ability to work under pressure in a continuously evolving environment

• Excellent communication skills

• Proficient in English

Responsibilities:

• Seek patterns in large datasets

• Evaluate, forecast, and simulate investment ideas

• Analyze risk in investment portfolios

• Review, implement, and analyze scientific papers

Benefits:

• Attractive remuneration

• Share option scheme

• Matching pension opportunity

• Travel to our offices

• Work with exciting and supportive team members

Education Requirements:

• Bachelor’s degree in statistics, machine learning, or related discipline

• PhD or Masters in Computer Science/Electrical Engineering or related fields with a focus on Computer Vision

Experience Requirements:

• Experience using frameworks such as Tensorflow, Keras, Pytorch

• Experiences with computer vision project using image classification, object detection, image segmentation and image mask

• Deep understanding of machine learning model hosting for inference and model optimization

• Coding skills in Python, Java or C++

• Ability to work in a fast-paced start-up environment

Other Requirements:

• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis

• Proficiency with a statistical analysis package and associated scripting languages such as Python, R, Matlab, SAS

Responsibilities:

• Use the data to research, design, implement, and deploy scalable computer vision, deep learning, and image processing solutions to discover visual and associated textual relationships

• Develop tools to assist with algorithm development, algorithm testing, and image quality evaluation and validation

• Work closely with infrastructure engineers to make sure that your algorithms will effectively scale to large data sets and to ensure that their systems provide the flexibility needed for your ideas to become visible and real

• Measure the impact of your changes and come up with ideas for how to maximize that impact

• Prepare the reporting of data analysed in visual form

Benefits:

• Share scheme

• Company pension

• Office snacks

• Healthcare

Education Requirements:

• A bachelor or above in statistics, computer science, data science or related disciplines

Experience Requirements:

• Minimum 1+ years working experience in a modelling/ analysis/ statistics role

• Not less than 2+ years of solid experience in big data projects

Other Requirements:

• Strong computational background with experience in R, C++, Python and other data and code manipulation methodologies

• Experience using machine learning and deep learning framework such as TensorFlow, Keras, PyTorch etc and proficient with libraries such as numpy, matplotlib, scikit learn etc

• Formal training in big data analysis and knowledge in big data platform

• To be familiar with and hands-on experience on Big Data modelling techniques including logistic regression, decision tree and machine learning

• Positive attitude, good business acumen and can work under tight timeline

Responsibilities:

• Assist Team to develop and maintain NLP, computer vision and speech recognition models

• Leverage big data analytic techniques to build predictive models from voluminous data collected from customer touch points

• Perform statistical analyses and provide insightful comments for business team

• Lead fellow analysts to complete modelling and analytic projects

• Drive automation of analytical projects with the team

Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness

Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness

Benefits:

• Competitive Salary

• Comprehensive health insurance

• Retirement plans

• Unlimited paid time off

• Flexible working hours

Education Requirements:

• Ph.D. in AI, machine learning, computer vision, computer graphics, or a closely related field

Experience Requirements:

• 3+ years of industry experience

Other Requirements:

• Proven research expertise

• Technical Mastery

• Experience with 3D tools

Responsibilities:

• Cutting-Edge Research

• 3D Content Innovation

• Collaborative Development

• Thought Leadership

Benefits:

• Reasonable expenses may be reimbursed

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans

Benefits:

• Paid Time Off

• Supplemental Insurance

• Health Insurance

• Career Growth

• Retirement BenefitsEmployee Bonus ProgramGroup Life BenefitsTeam Building Events

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 1+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research

Other Requirements:

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

• Excellent teamwork skills

• Creativity and ability to formulate problems and solve them both in team and independently

• Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

• Fluent in English both spoken and written

Responsibilities:

• Work directly both with our R&D division and with our Mission Control team on data analytics projects using our internal tools, spreadsheets and Python scripts for exploratory data analysis, modeling, visualization, performance evaluation and report generation

• Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process

• Evaluating and interpreting the outputs of the models from an economic and financial point of view.

• Producing clear written summaries of research results