At a Glance
- Tasks: Lead the development of autonomous systems for complex scientific tasks via natural language.
- Company: Latent Labs pioneers frontier models in biology, co-developing award-winning technologies.
- Benefits: Enjoy competitive pay, private health insurance, generous leave, and hybrid working options.
- Other info: We value diverse backgrounds and perspectives, fostering a collaborative and innovative culture.
- Why this job: Join a mission-driven team tackling complex challenges with a focus on global impact.
- Qualifications: Strong software engineering skills in Python, API design, and experience with LLM orchestration required.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces.
Who we are:
At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.
Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.
We're looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission.
Who You Are:
You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture.
You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch.
You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction.
You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes.
You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing.
What Sets You Apart:
You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience.
You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats.
You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes.
You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks.
Your Responsibilities:
Build autonomous scientific agents that can execute complex research workflows through natural language interaction—from protein structure analysis to experimental design.
Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces.
Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets.
Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts.
Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates) and orchestrate their validation.
Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions.
Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations.
Apply:
We offer strongly competitive compensation and benefits packages, including:
Private health insurance
Pension/401(K) contributions
Generous leave policies (including gender neutral parental leave)
Hybrid working
Travel opportunities and more
We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.
We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Member of Technical Staff - Reasoning Workflows in London employer: Latent Labs
At Latent Labs, we pride ourselves on being an exceptional employer, offering a stimulating work environment where innovation thrives. Our commitment to scientific excellence and interdisciplinary collaboration fosters continuous learning and growth opportunities for our team members. With competitive compensation, generous leave policies, and a culture that values diverse perspectives, we empower our employees to make a meaningful impact in the field of synthetic biology while enjoying the benefits of hybrid working and travel opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff - Reasoning Workflows in London
✨Tip Number 1
Familiarise yourself with the latest advancements in LLM orchestration and APIs. Being well-versed in tools like LangChain and LlamaIndex will not only boost your confidence but also demonstrate your commitment to staying at the forefront of technology.
✨Tip Number 2
Engage with the scientific community by attending relevant conferences or webinars. This will help you network with professionals in the field and gain insights into current challenges and innovations, which can be valuable during interviews.
✨Tip Number 3
Showcase your ability to bridge science and engineering by discussing any projects where you've integrated scientific computing libraries with machine learning models. This practical experience is crucial for the role and will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your understanding of research workflows and publishing processes. Having a solid grasp of how academic research operates will help you connect with the team’s mission and demonstrate your fit for the role.
We think you need these skills to ace Member of Technical Staff - Reasoning Workflows in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Python, API design, and distributed systems architecture. Emphasise any hands-on experience with LLM APIs and orchestration frameworks, as these are crucial for the role.
Craft a Compelling Cover Letter:In your cover letter, express your passion for scientific automation and how your background aligns with the company's mission. Mention specific projects or experiences that demonstrate your ability to bridge science and engineering.
Showcase Relevant Projects:Include examples of past projects where you built autonomous systems or worked with workflow orchestration tools. Highlight your contributions and the impact these projects had on research or development.
Demonstrate Interdisciplinary Skills:Since the role involves collaboration with scientists, illustrate your understanding of scientific literature and research workflows. Mention any experience you have in academic or pharmaceutical research environments.
How to prepare for a job interview at Latent Labs
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, API design, and distributed systems architecture. Highlight specific projects where you've used LLM orchestration and any frameworks like LangChain or LlamaIndex.
✨Demonstrate Your Understanding of Scientific Workflows
Since the role involves bridging science and engineering, be ready to explain how you've tackled complex scientific tasks in the past. Discuss your familiarity with scientific computing libraries and how you've applied them in real-world scenarios.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your ability to architect complex workflows and develop autonomous systems. Practice articulating your thought process when solving technical challenges, especially those related to intelligent information retrieval and RAG systems.
✨Express Your Passion for Scientific Automation
Convey your enthusiasm for automating scientific processes and your understanding of the research ecosystem. Share examples of how you've contributed to scientific automation in previous roles, particularly in academic or pharmaceutical settings.
