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Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced AI/ML Engineer to join their team in Los Angeles, California. The successful candidate will lead the design and implementation of AI verification pipelines, develop robust evaluation systems and deliver production-ready features impacting millions of users.


Responsibilities

• Lead the architecture and implementation of AI verification pipelines to ensure robust, reliable model performance.

• Design, build and maintain evaluation infrastructure for AI systems at scale.

• Develop production-ready AI features that are deployed to millions of users.

• Create reasoning systems that convert probabilistic AI outputs into deterministic, auditable recommendations.

• Collaborate with cross-functional teams to integrate AI-native products into broader platforms.

• Continuously monitor, test and improve AI systems to maintain performance, security and reliability.

Skillset

• Deep expertise in machine learning, AI verification and evaluation frameworks.

• Strong experience with probabilistic modeling, reasoning systems and knowledge graphs.

• Proficiency in Python and modern ML/AI libraries (e.g. TensorFlow, PyTorch, JAX).

• Experience building production-scale AI systems that serve millions of users.

• Strong understanding of software engineering principles: version control, CI/CD, testing, and deployment.

• Familiarity with adversarial testing, verification pipelines, and AI auditing.

• Experience in AI-native product design and implementation.

• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.

• Research experience in AI interpretability, explainability or safety is a bonus.

Benefits

• Salary: $350k - $450k DOE.

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced Product Engineer to join their team in Los Angeles, California. The successful candidate will be tasked with a highly technical and product-focused role, offering the opportunity to own systems end-to-end, from underlying infrastructure and reasoning layers to user-facing features.


Responsibilities

• Deliver scalable AI-powered product features serving millions of users.

• Architect adversarial verification pipelines to ensure robust, reliable model outputs.

• Build evaluation systems to assess reasoning quality and system performance.

• Embed knowledge graph interfaces seamlessly into product workflows.

• Convert probabilistic AI outputs into deterministic, auditable, and user-ready recommendations.

• Collaborate closely with research, design, and product teams to accelerate ideas from concept to launch.

Skillset

• Proven experience as a Product Engineer delivering complex systems to production.

• Solid background in AI systems, evaluation frameworks or reliability engineering.

• Experience working with knowledge graphs or other structured data systems.

• Skilled at anticipating and addressing adversarial model failure modes.

• Comfortable owning features end-to-end, from architecture to polished user experience.

• Demonstrates high agency, strong product intuition and a bias toward shipping.

Benefits

• Salary: $350k - $450k DOE.

Our client, an AI-driven startup in the FinTech sector, is hiring a Senior Data Scientist to join the team in New York. The successful candidate will contribute to a blend of high-impact, short-term initiatives and ambitious long-term modelling work that stretches the boundaries of what can be achieved in the insurance industry.


Responsibilities

• Carry out actuarial analyses to forecast insurance costs and claim payouts.

• Apply advanced AI models to granular claims datasets.

• Refine and structure reinsurance transactions to improve efficiency and execution.

• Directly influence multi-million-pound reinsurance deals and present insights to senior industry stakeholders.

• Develop and maintain scalable data and predictive pipelines.

• Build and enhance the core models underpinning their AI platform.

• Contribute to defining best practice for applying AI within insurance at scale.

Skillset

• At least 4 years of relevant professional data science experience.

• A strong foundation in probability, statistics, and machine learning.

• Proficiency in Python and common machine learning libraries (e.g. scikit-learn, XGBoost).

• Familiarity with large language models (LLMs) and their practical applications.

• A genuine interest in solving complex, real-world data problems.

• Previous experience working in a fast-paced startup environment.

Benefits

• Salary: $160k - $200k

Our client, a growing AdTech organization, are hiring a hands-on Chief Technology Officer to join their team in New York. The successful candidate will combine strong product vision with operational rigor and an AI-first mindset, leading the development of their next-generation AI-powered advertising platform and search engine.


Responsibilities

• Lead the development of a sophisticated, NLP-powered advertising platform.

• Architect and scale a high-performance, sports-centric search engine.

• Translate cutting-edge AI research into robust, revenue-driving products.

• Establish strong delivery processes, ensuring accountability and predictable execution.

• Drive cultural transformation within engineering while consistently delivering on timelines.

Skillset

• At least 10  years of experience within a leading technology platform environment.

• Prior experience as a VP Engineering or senior technology leader who has built and scaled a large-scale image or search engine.

• Proven experience building and scaling production-grade search, advertising or AI-driven systems.

• Deep expertise in large-scale retrieval systems, search infrastructure and AI applications at consumer scale.

• Experience translating applied AI research into fully deployed, revenue-generating products.

• Demonstrated track record spanning both consumer search and applied AI-driven product development.

Benefits

• Total Compensation up to $1m for exceptional candidates.

• This includes performance bonus and other benefits.