Location
Remote | United Kingdom
Job description
AI Engineer
Employment Type: Full-Time Location: Remote, UK
Minimum Experience: Level
Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.
Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:
- Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
- Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
- Washington Post: Your kids’ apps are spying on them
- Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
- ABC7 News: The State of Children's Privacy Onlin e
- NBC News: How many apps are tracking your children
Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC , London and Singapore.
ABOUT THE ROLE
Pixalate’s Research team (AFAC) has uncovered more than $100M in ad fraud, national security threats, and consumer privacy abuses. HQ-ed in Palo Alto, California, and with a presence in New York, London, and Singapore, Pixalate is experiencing remarkable growth and looking to bring an AI Engineer onboard. As an AI Engineer, you will be responsible for designing and implementing various AI systems that interact with our products, integrating with OpenAI's APIs, and building AI architectures.
RESPONSIBILITIES
- Design and implement AI systems, including Natural Language Processing (NLP) systems, and Large Language Models (LLMs) such as GPT.
- Deploy on cloud computing platforms like AWS, GCP, etc.
- Building and deploy machine learning models in production environments, including models that use LLMs.
QUALIFICATION
- Bachelor's or Master's degree in Computer Science, AI, or related field.
- Experience with OpenAI's APIs.
- Experience in designing and implementing AI systems, including Natural Language Processing (NLP) systems, and Large Language Models (LLMs) such as GPT.
- Experience with distributed systems and big data processing technologies.
- Experience with software engineering best practices like version control, testing, and code review.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, etc.
- Proficiency in one or more programming languages like Python, Java, etc.
- Good understanding of statistics and probability theory.
- Strong problem-solving skills and ability to think creatively.
BENEFITS
We focus on doing things differently and challenge each other to be the best we can be.
- Generous benefits package including 25 days holiday plus Bank holidays
- Defined contribution Pension scheme
- Monthly internet reimbursement
- Casual, remote work environment
- Hybrid, flexible hours
- Opportunity for advancement
- Fun annual team events
- Being part of a high performing team that wants to win and have fun doing it
- Extremely competitive compensation
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