Founding Research Engineer

Mindroiu Serban-Alexandru PFA; United Kingdom; Hybrid; GBP 50,000 - 90,000

Job description

We are looking for a talented and driven Founding Research Engineer to join our pioneering team at Parsed, where we are building the AI infrastructure to transform healthcare with robust, transparent, and trustworthy AI models. You will work closely with a team of ML researchers, medical professionals, and PhD candidates to help develop and refine healthcare-specific LLM platforms that ensure clinical safety and effectiveness.

Key Responsibilities

• Research to Production: Translate cutting-edge research into practical, production-grade systems. Collaborate with ML researchers and clinicians to integrate interpretability and model alignment research into impactful user-facing features.
• Core Infrastructure & Cloud Tooling: Own the core infrastructure and cloud tooling that enables us to evaluate, interpret, robustify, and deploy LLMs for tasks such as triage, summarization, and clinical decision support.
• API & SDK Development: Develop customer-facing APIs and SDKs that allow high-precision model steering, adversarial testing, and feedback loops.
• Prototyping to Production: Quickly develop prototypes, refine them into secure, reliable products that meet the standards for clinical-grade robustness and safety.
• Collaboration with Multidisciplinary Teams: Work in partnership with a diverse team, including researchers, clinicians, and engineers, to push the boundaries of AI in healthcare.

Required Experience And Skills

• Experience: Proven experience in applied ML, ideally in developing complex systems for real-world applications.
• Full-Stack Expertise: High-agency, customer-centric full-stack experience, with a background as a founding engineer or in a startup environment.
• Research to Product Translation: Experience turning research findings into practical, production-ready systems, with a focus on machine learning, model interpretability, and clinical workflows.
• Cloud Infrastructure & Product Pipelines: Strong skills in owning infrastructure, cloud tooling, and product pipelines that support the deployment and evaluation of complex models.
• Technical Excellence: Ability to build robust, secure, and scalable systems that meet clinical safety standards.
• Passion for Healthcare Impact: Deep belief in the potential of LLMs to revolutionize healthcare, especially in clinical workflows.

Desirable Experience

• Startup Background: Experience in a startup, preferably as a founding engineer or key team member.
• Healthcare AI: Knowledge of healthcare applications of AI, specifically in clinical environments like triage, decision support, and summarization.
• ML Research: Background in mechanistic interpretability techniques, such as sparse autoencoders or probes.
• Model Robustification: Familiarity with adversarial testing and model steering to enhance the robustness and safety of AI systems.

Location and Logistics

• Location: Based in London, with remote consideration for exceptional candidates.
• Visa: Visa sponsorship is available for exceptional candidates.

Benefits

• Top-of-market early-stage equity
• Competitive salary
• Health and wellness allowance
• Catered lunches and stocked kitchen
• Commuter benefits
• Laptop and tools to help you succeed
• Learning and development budget
• Team-building events

Years Of Experience

• Minimum 5-7 years of experience in software engineering, ML research, or full-stack development. You should have a strong track record in applied machine learning and working with complex systems. Startups or founding engineer experience is highly valued.

Skills

• Data science
• API development
• SDK development
• Adversarial testing
• AI concepts
• Product management
• Model interpretability
• Applied ML
• Model robustification
• Cloud infrastructure
• ML research
• Data security principles
• Full-stack development
• Cloud security
• Clinical workflows

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Business Consulting and Services