AI Engineer

Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, Fanatics and Levi’s, visit www.impact.com.

Your Role at impact.com:

As an AI Engineer,  you will work on our core and business products to help shape the future of what we build at impact.com.  You will enjoy working with our rich data set, cutting edge technology, and the ability to see your insights turned into real products on a regular basis.  Partnering with internal and external stakeholders, you will develop new products/features and solve business problems by preparing, analyzing, and understanding data to prototype products/features, deliver insight, predict emerging trends, and provide recommendations to optimize results. 

You should have a background in a quantitative or technical field, experience working with large data sets, experience in data-driven decision making, and data storytelling through visualization.  You are proficient in big data technologies, Cloud environment, statistical modelling, and machine learning algorithms. You are passionate and diligent about staying abreast of academic research and industry best practices in the constantly evolving digital marketing landscape.  You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.

What You'll Do:

• Design, develop, test, and deploy high-performance data science solutions.
• Collaborate with product managers, designers, and other stakeholders to define and deliver on the product roadmap.
• Optimize and refactor existing models and algorithms to improve performance, reliability, and maintainability.
• Stay updated with emerging technologies and industry trends to ensure our products remain competitive.
• Participate in code reviews and data model evaluations, providing constructive feedback to peers.

What You Have:

• Master’s Degree in Computer Science, Applied Mathematics, Physics, Operations Research, Statistics, or other quantitative Social Science fields. PhD preferred, or equivalent experience. 
• 5+ years of tech industry work experience as a data analyst, statistician, or data scientist.
• Expert knowledge of statistical data analysis, including linear models, multivariate analysis, stochastic models, sampling methods, and experimental design.
• Well-versed in R, Python, SQL, and big data query languages.
• Proficient with machine learning, AI, data mining, and advanced statistical modelling.
• Experience with big data and cloud platforms to deploy large-scale data science solutions.
• Knowledge of distributed computing frameworks.
• 5+ years experience in large data modelling and processing, large language models, preferably GraphQL, neural networks, and machine learning + artificial intelligence.
• Experience with recommendation systems, algorithmic experimentation, and research, and advanced conversion optimization.
• Excellent communicator, able to articulate business questions and use mathematical techniques to derive answers from available data.
• Experience communicating analysis results with product and leadership teams to influence product strategy.
• Understanding of digital marketing and statistical algorithms used in marketing analytics.
• Ability to navigate complex business organizations and manage multiple cross-functional stakeholders.
• Demonstrated leadership and self-direction, with a willingness to both teach others and learn new techniques.

Nice to have:

• Experience in leading large projects.
• Experience in advertising technology and affiliate marketing is a plus.
• Affiliate & Partnerships Industry Fundamentals Certification by PXA.

Benefits:

• Responsible PTO policy - take the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both
• Flexible remote working policy
• Training & Development - Free Coursera Subscription and PXA partnerships learning
• Restricted Stock Units - 3-year vesting schedule pending Board approval
• Internet Allowance
• Telephone Allowance 
• Technology stipend 
• Wellness App - Free Subscription to ‘Modern Health’
• Pension and Insurance
• Parental Leave 

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.