Member of Technical Staff - Forward Deployed Engineer

📋 Description

• • Join Liquid AI, a pioneering company spun out of MIT CSAIL, at the forefront of developing general-purpose AI systems designed for unparalleled efficiency across diverse deployment targets. Our innovative solutions operate seamlessly from high-performance data center accelerators to resource-constrained on-device hardware, prioritizing low latency, minimal memory footprint, robust privacy, and unwavering reliability. We are actively collaborating with leading enterprises in critical sectors including consumer electronics, automotive, life sciences, and financial services. As we experience rapid scaling, we are seeking exceptional individuals to contribute to our ambitious growth trajectory.
• • This role presents a unique opportunity to engage directly in customer-facing projects that are instrumental in driving company revenue. It is a deeply hands-on technical position focused on the intricate process of fine-tuning Liquid Foundation Models (LFMs) for enterprise-grade deployments. You will be instrumental in tailoring these models for text, vision, and audio modalities, taking full ownership of the technical delivery from inception to completion. This involves close collaboration with clients to thoroughly understand their unique data landscapes and operational constraints, with the ultimate goal of achieving stringent quality and latency targets on real-world hardware.
• • This is not a role focused on simple API wrapper utilization. Instead, you will be deeply involved in the core mechanics of model improvement. Your responsibilities will include the sophisticated fine-tuning of advanced AI models, the generation and meticulous curation of high-quality training data, the systematic debugging of complex failure modes, and the deployment of these optimized models onto devices that operate under strict latency and memory limitations.
• • You will be a key player in translating abstract customer needs into tangible technical specifications and delivering solutions that meet and exceed defined quality metrics. This requires a proactive approach to problem-solving and a deep understanding of the ML lifecycle.
• • The work involves a dynamic and multi-faceted approach to AI model optimization. You will be responsible for fine-tuning LFMs using customer-specific datasets, ensuring that the models achieve precise quality benchmarks and meet demanding latency requirements for both on-device and edge deployments. This requires a keen eye for detail and a systematic methodology for experimentation and iteration.
• • A significant aspect of the role involves the generation and curation of specialized training data. This data will be strategically developed to address identified model failure modes, thereby enhancing overall model robustness and performance. You will leverage your understanding of how data quality directly impacts model efficacy to create datasets that drive significant improvements.
• • You will conduct rigorous experiments, meticulously track key performance metrics, and iterate on model configurations and training strategies until customer success criteria are definitively met. This iterative process is crucial for ensuring client satisfaction and achieving desired outcomes.
• • A core responsibility is to translate ambiguous or high-level customer requirements into concrete, actionable technical specifications. This requires strong communication skills and the ability to bridge the gap between business needs and technical implementation.
• • You will provide critical analytical insights to our commercial teams, aiding them in the complex processes of contract structuring and pricing. Your technical expertise will inform business decisions, ensuring that our offerings are accurately valued and competitively positioned.
• • The role demands versatility, requiring you to work across text, vision, and audio modalities as dictated by diverse customer needs. This cross-modal expertise will be essential for addressing a wide range of client challenges and expanding the application of our AI systems.
• • Success in your first year will be measured by your ability to own the technical delivery of at least one engagement that directly contributes to closing a significant contract. Your efforts should demonstrably contribute to measurable B2B revenue generation. Furthermore, you will be responsible for equipping our commercial teams with the necessary metrics and insights to accurately price deals, ensuring our business strategy is data-driven and effective. You will also be expected to rapidly acquire proficiency in at least one new modality beyond your primary area of expertise, showcasing your adaptability and commitment to continuous learning.