Experience Requirements:

• Junior

Benefits:

• Offers Equity

• Offers Bonus

Benefits:

• Offers Equity

• Offers Bonus

Education Requirements:

• Master degree or higher in Computer Science/Mathematics/Physics,/Electric engineering or equivalent is a must

Experience Requirements:

• 2+ years experience with Python

• 3+ years experience with conducting NLP research (Specifically: Text) using Deep Learning models (RNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.)

Other Requirements:

• Strong theoretical background in Machine Learning

• An understanding of linguistics’ theory and principles (semantic relations, parsing methods, etc.)

• Educate our customers on new and existing features, best practices, and a variety of use cases across industries. This is achieved by planning and hosting online demos, consultations, and screen shares on both a one-to-one and one-to-many basis.

• Optimization

• Information theory

• Probability and statistics

• Bayesian methods

• Publications at top-tier conferences (i.e, ACL, EMNLP, ICML, NeurIPS)

• Experience with distributed DL

• Experience with cloud ML (GCP, AWS, etc.)

Responsibilities:

• study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

Benefits:

• Generous PTO (starting at 25 days PTO per year)

• Parental Leave policy (12 weeks paid)

• 100% remote work environment with flexible hours

• Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress

• Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)

Other Requirements:

• Must be fluent in English, both written and verbal

• Up to 10-15% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events

Responsibilities:

• Take a leading role in the optimization and troubleshooting of live Reinforcement Learning and Causal ML models driving OfferFit's marketing campaign use cases.

• Analyze and improve OfferFit's Reinforcement Learning and Causal ML algorithms in collaboration with the Applied ML engineering team that develops our ML pipeline.

• Create new custom diagnostic tests and analyses to support OfferFit's Reinforcement Learning and Causal ML algorithms.

Benefits:

• Generous PTO (starting at 25 days PTO per year)

• Parental Leave policy (12 weeks paid)

• 100% remote work environment with flexible hours

• Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress

• Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)

Education Requirements:

• Ph.D. in Computer Science, Machine Learning, or a related field with a focus on Reinforcement Learning. MS with professional experience with RL is fine too.

Other Requirements:

• Candidates must be able to partially overlap and support North America time zones

• Must be fluent in English, both written and verbal

• Up to10-15% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events

Responsibilities:

• Improve RL algorithms to increase performance, sample efficiency, and robustness at scale

• Develop and apply advanced diagnostic tools, including off-policy evaluation methods

• Conduct research on state-of-the-art RL techniques and their applicability to marketing optimization

• Implement better monitoring and observability tooling

• Work closely with engineering teams to improve OfferFit’s platform and develop APIs for OfferFit ML components

Education Requirements:

• A PhD degree holder in Computer Science or related disciplines.

Other Requirements:

• Excellent verbal and written communication skills in English.

• Extensive knowledge in machine learning and AI algorithms, especially in natural language processing (NLP), speech recognition, and/or related areas is preferred.

• Strong mathematical/analytical foundation, problem solving skills.

• Experience in software developments for machine learning/AI algorithms are highly preferred.

Responsibilities:

• Perform research directed toward investigation, evaluation, and application of known machine learning theories and principles, especially deep learning techniques.

• Plans and conducts, or direct engineering personnel performing complex engineering analyses and experiments to test, prove, or modify theoretical propositions on basis or research findings and experiences of others researching in related technological areas.

• Evaluate findings to develop new concepts, products, or processes, or to develop applications of findings to new uses.

• Write technical papers to be published in prestigious conferences and journals.

• Prepare technical reports for use by engineering or management personnel for long- and short-term planning.

Benefits:

• Professional Development: Receive mentorship from industry professionals and participate in training to enhance your skills.

Education Requirements:

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related discipline.

Responsibilities:

• Data Collection & Preparation: Support data gathering, cleaning, and organization from multiple sources to ensure accuracy and consistency.

• Data Analysis & Visualization: Assist in analyzing datasets to uncover trends and insights; create visualizations, dashboards, and reports to clearly communicate findings.

• Model Development Support: Help develop and validate basic predictive models and assist in exploratory analysis using foundational machine learning algorithms.

• Collaborative Engagement: Work alongside team members from different departments to understand their data requirements and contribute insights to support business performance.

• Documentation & Communication: Prepare clear documentation of methodologies and results, and effectively communicate these insights to internal teams.

Experience Requirements:

• Have at least 1 research project related to machine learning in which you played a major role

• Significant Python, machine learning, research experience

• Be familiar with C or C++

Responsibilities:

• Create datasets for potential, powerful capabilities of language models such as function calling and reflection

• Build tooling and infrastructure to enable efficient fine-tuning experiments on language models

• Help develop new methods or novel fine-tuning techniques to improve language model behaviors

• Run experiments that feed into key AI research

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Experience Requirements:

• 3+ years

Benefits:

• Family Health Insurance

• Accident & Term Life Insurance

Education Requirements:

• Post Graduate / Graduate

Experience Requirements:

• 1-3 years, preferably worked on SME published reports

Responsibilities:

• Conduct qualitative and quantitative research for SME sector and publish reports and articles independently to contribute to thought leadership

• Prepare monthly & quarterly research reports as per requirement

• Deliver client and investor presentations

• Prepare trend analysis in the data sheet

Education Requirements:

• Doctor

Education Requirements:

• Doctor

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Education Requirements:

• Bachelor’s degree in computer science, Statistics, Mathematics, or related field.

Experience Requirements:

• Minimum of 5 years of proven experience in delivering Data Science solutions in a professional environment.

Responsibilities:

• Responsible for cleansing, filtering, and refactoring complex data from different sources, further analyzing, and investigating it to identify how they can be used to generate a model with high accuracy.

• Experience is model development and in performing model validation to support the integrity and improve the accuracy of the model

Education Requirements:

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent work experience.

Responsibilities:

• Lead the design, development, and implementation of machine learning models, AI algorithms, and Large Language Models (LLMs) for various business applications.

• Collaborate with cross-functional teams (product, engineering, business) to understand the problem domain and define model objectives.

• Analyze large datasets to identify patterns, trends, and insights, and use these findings to develop predictive models and actionable business solutions.

• Build, test, and refine machine learning models using state-of-the-art techniques, including supervised and unsupervised learning, reinforcement learning, deep learning, and natural language processing (NLP).

• Develop and optimize LLMs (e.g., GPT, BERT, etc.) to improve language understanding, text generation, and other NLP applications.

Education Requirements:

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

Experience Requirements:

• 5+ years of hands-on experience in machine learning, with a focus on anomaly detection.

Responsibilities:

• Develop and implement machine learning models focused on anomaly detection in industrial IoT data.

• Design algorithms for predictive maintenance and condition monitoring.

• Work closely with data engineers to create robust data pipelines for real-time analytics.

• Analyze large datasets, extract insights, and provide actionable recommendations.

• Optimize models to improve detection accuracy and reduce false positives.