Sr Associate, AI Engineering

The Organization

At TWG Global Holdings, LLC (‘TWG Global’), we are at the cutting edge of innovation and business transformation, leveraging data and AI to manage a diverse portfolio that spans Investments, Securities, Insurance, Finance, Corporate Lending, Merchant Banking, as well as Sports, Media, and Entertainment. Data is one of our most valuable assets, and our commitment to AI allows us to transform that data into a powerful competitive advantage. We are pioneering a range of data and AI services that provide real-time intelligence to both our customers and workforce, enabling them to make informed decisions within interactive, cloud-native business applications.

As we evolve into an AI-first, model-driven, and cloud-native company, we prioritize responsible data and AI practices that protect our customers and workforce while ensuring compliance within a regulated environment. Our goal is to lead by example, acting with the highest standards of ethics, responsibility, and transparency. This commitment drives our development of cutting-edge AI/ML business applications across our diverse product and service offerings.

In this role, you will be at the heart of our data and analytics transformation, collaborating closely with management teams to achieve our strategic objectives and operational excellence. Our decentralized structure empowers each business unit to operate autonomously while benefiting from the strategic guidance and support of our central AI Solutions Group.

Through our pioneering partnerships with major data and AI vendors, you will have the opportunity to work on transformative projects that will revolutionize marketing, distribution, customer acquisition, and internal processes. These initiatives are designed to enhance productivity, reduce costs, and create high-demand products and services. The advanced data systems we develop will grant management unparalleled access to real-time performance data, enabling swift, informed decision-making and agile business adjustments.

Moreover, you will play a crucial role in leveraging our strategic relationships and equity positions in leading tech startups. These collaborations are not just about staying ahead of the competition—they are about creating true competitive advantages across our businesses. You will contribute to projects that are reshaping industries, from harnessing cloud-based supercomputing capabilities to driving key initiatives with major universities that are shaping the future of technology.

At TWG Global, your work will directly to contribute to our ambitious goal of generating sustained growth and superior returns, with expected annual equity returns exceeding 20%, including growing dividends. Join us as we push the boundaries of technology and innovation, delivering significant value across our portfolio while making a profound impact on the industries we serve.

The Role

On the AI Engineering Team, you will play a pivotal role in driving the integration, design, and engineering of AI and ML solutions across the organization. Your primary responsibility will be in developing and deploying advanced Machine Learning (ML) models, ensuring that they are robust, scalable, and aligned with the organization’s strategic vision. This team will focus on optimizing ML models, data pipelines, and leading cloud engineering initiatives to enable high-performance AI platforms for both training and deployment.

On this team, you will support the integration of cutting-edge ML and AI breakthroughs into our products and services, collaborating closely with research, search, discovery, and other cross-functional teams. You will also work in the development and deployment of personalized large language models (LLMs) and generative AI (Gen AI) solutions using cloud-based models, ensuring their effective implementation across multiple applications. You will play an important role in executing against the strategic direction and roadmaps for AI-powered personalization and recommendation systems.

Furthermore, you will support the creation and maintenance of reference architectures for AI/ML platforms on cloud infrastructures, ensuring they remain up-to-date with the latest frameworks and industry best practices. You will partner with engineering teams, supporting them in the development of scalable solutions that enhance personalization features and improve product metrics.

Your ability to collaborate with business leaders, work cross-functionally, and foster partnerships with internal and external stakeholders will be key to driving innovation and achieving strategic business objectives. By applying your expertise in AI engineering, you will help the organization stay at the forefront of technological advancements, delivering transformative solutions that create lasting competitive advantages.

Working on this team will involve a significant focus on cloud engineering, enabling ML platforms for training and deploying cloud-based AI/ML solutions, as well as establishing generative AI solutions with cloud-based models. You will work to drive the adoption of these solutions across the organization, ensuring they contribute to cost savings, revenue generation, and enhanced market competitiveness. Your work will ensure that AI initiatives adhere to the highest standards of quality, security, and compliance, positioning the organization as a leader in AI innovation.

Responsibilities

• Support ML Model Development: Assist in the development and deployment of machine learning models for applicant generation and ranking, focusing on enhancing multimodal feed recommendations (e.g., image, text). Participate in applied ML research to help improve feed recommendation quality.
• Collaborate on ML Integration: Work with research, search, discovery, shopping, and engineering teams to help integrate ML innovations into feed products and services, contributing to user experience enhancements.
• Assist in Personalization Features: Support the implementation of personalization features and exploration capabilities to improve product metrics and user engagement.
• Contribute to Scalable Solutions: Help design and develop frontend and backend solutions, adhering to best practices in technical design, solution development, and code quality. Focus on maintaining code modularity and sustainability.
• Optimize ML Operations: Assist in optimizing ML models and data pipelines to support scalable capabilities for products and services, ensuring efficient ML operations.
• Facilitate Team Collaboration: Collaborate with cross-functional teams, including Technical Program Managers, Data Engineers, Data Scientists, Business Analysts, and Operations, to support the integration and execution of AI/ML solutions.
• Support Cloud Engineering Initiatives: Assist in cloud engineering efforts to enable robust ML platforms for training and deploying AI/ML solutions, focusing on scalability and security.
• Contribute to Generative AI Solutions: Support the integration and deployment of generative AI solutions using cloud-based models, contributing to innovation in generative AI technologies.
• Assist in Delivering Scalable Solutions: Help deliver scalable solutions for deploying and managing ML systems on Google Cloud, focusing on optimizing performance and resource utilization.
• Participate in Designing Architectures: Assist in designing and maintaining reference architectures that support diverse AI/ML workloads, leveraging various components and frameworks.
• Support LLM Development: Contribute to the development and deployment of personalized large language models (LLMs) to enhance search and recommendation systems, participating in applied research on emerging LLM techniques.
• Collaborate on LLM Integration: Work with cross-functional teams to help integrate LLMs into products and services, ensuring innovations in LLM technology are utilized effectively.
• Execute Search and Personalization Roadmaps: Assist in executing roadmaps for search and discovery personalization efforts, supporting partnerships and collaborations with stakeholders to drive AI/ML initiatives.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
• Extensive experience in AI engineering, with a strong focus on the development and deployment of Machine Learning (ML) models and cloud-based AI/ML solutions.
• Proven track record in leading the integration, design, and optimization of scalable ML models, data pipelines, and cloud infrastructure for AI applications.
• Demonstrated experience in working with cross-functional teams and collaborating with business leaders and colleagues to drive strategic AI initiatives and achieve business objectives.
• Strong expertise in cloud engineering, including enabling ML platforms for training, deployment, and the establishment of generative AI solutions using cloud-based models.
• Job experience in a similar field of 2-5 years
• Experience with Java, Angular, Databases (RDBMS, NoSQL, Vector) and Public Cloud, Terraform, Open Policy Agent, oAuth, OIDC

Preferred Qualifications:

• Master’s degree in Computer Science, Engineering, Data Science, or a related field or equivalent practical experience.
• Significant experience in leading the development and deployment of personalized large language models (LLMs) and generative AI solutions across diverse applications.
• Deep understanding of AI/ML frameworks, reference architectures, and best practices for cloud-based AI systems, with a focus on scalability, performance, and security.
• Proven ability to conduct applied research in ML and LLM techniques, driving innovation and enhancing product offerings.
• Extensive knowledge of AI/ML governance, ensuring that AI initiatives adhere to the highest standards of trust, transparency, safety, and security.
• Experience in driving collaboration across research, engineering, and product teams to integrate AI breakthroughs into products and services, while aligning with the organization’s strategic vision.

Compensation

The base pay will for this position is $190,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.

Position Location

By applying to this position, you can select your preferred working location from the following within the United States: Santa Monica, CA. Consideration for a different working location will be considered on a case-by-case basis.

TWG is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.