Recursion Pharmaceuticals interview process & guide 2026
Everything we know about interviewing at Recursion Pharmaceuticals: the process stage by stage, what each round tests, and compensation by level.
- 1Recruiter Screen
- 2Initial and HR Screening Calls
- 3Leadership Alignment Session
- 4Technical Interviews
- 5System Design Interview (MLOps architecture)
- 6Onsite Loop over Zoom and Panel Interview Loop
Interviewing at Recursion Pharmaceuticals
Recursion Pharmaceuticals uses a mix of recruiter and screening calls, followed by both technical and system-level evaluation. Across roles, the process centers on technical depth and problem solving, and it also includes behavioral and communication assessment with hiring managers, directors, and cross functional partners.
The topics data you have is dominated by Machine Learning Engineering and ML concepts, plus assay development and cell based assays. You should expect questions that connect ML to the practical workflow side, including drug screening workflows, experimental design, and production ML or ML pipelines, with substantial focus on TFX and TensorFlow Extended.
Based on the reported steps, you can expect an onsite loop conducted over Zoom with three interviews in a single day, and also a panel style loop that brings in multiple team members, including cross department scientists and HR. Candidate report difficulty skewed mostly medium, with a meaningful hard and very hard tail, and the offer rate in these reports was 0.0%, so you should treat this as a demanding bar and prepare for technical and communication performance under pressure.
The interview topics you are tested on are unusually anchored in assay development and lab workflow thinking, not just general ML. Your preparation should deliberately connect ML engineering, pipelines, and frameworks like TFX to experimental design and assay or drug screening contexts.
How hard is the Recursion Pharmaceuticals interview?
Aggregated from 85 interview experiencesAbout 1 in 4 candidates with a known outcome convert.
The interview process, end to end
6 rounds · based on 85 candidate reports- 1Recruiter Screen
A recruiter conducts an initial assessment of basic fit and experience. Expect a conversation about your background, recent projects, and overall fit.
- 2Initial and HR Screening Calls
You may have an initial screening call and/or an HR screening call to assess your qualifications and fit. Prepare to summarize your relevant experience clearly and align it to the role you applied for.
- 3Leadership Alignment Session
A leadership alignment session evaluates your alignment with leadership and core values. Be ready to discuss your working style and how you collaborate, based on how you have performed in past work.
- 4Technical Interviews
You will have a series of interviews focused on technical expertise and problem solving. Interviewers may include hiring managers and directors, and the technical assessment is expected to reflect the high prominence topics like ML engineering, assay development, cell based assays, and experimental design.
- 5System Design Interview (MLOps architecture)
There is a system design interview that assesses your system design capabilities and understanding of MLOps architecture. Prepare to discuss how you would design pipeline components and how you would think about production ML workflows.
- 6Onsite Loop over Zoom and Panel Interview Loop
You may complete an onsite loop conducted over Zoom with three separate interviews in a single day. Some roles also include a panel interview loop with multiple team members, cross department scientists, and HR to assess technical skills, behavioral fit, and collaboration.
What Recursion Pharmaceuticals actually tests for
How prominent each skill is across reported loopsFind the guide for your role
This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Recursion Pharmaceuticals interviewers actually ask that position, the loop structure, and pay by level.
What Recursion Pharmaceuticals pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
What separates offers from rejections
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Do this
- Prepare for ML engineering at production depth, including how you would structure ML pipelines and production workflows, and how you would discuss those choices clearly.
- Be ready to go beyond generic ML concepts, including mathematical foundations for ML, and explain your reasoning for methods, not just the final answer.
- Practice translating lab or experimental ideas into testable plans. Focus on experimental design and how you think about assay development and cell based assays in a workflow.
- Use your technical communication time to explain your methods and rationale clearly and consistently. Several topics explicitly rate scientific and technical communication and interpersonal communication as interview content.
Avoid this
- Do not treat this as a pure coding loop. The process includes an online assessment, live coding with software design focus, and system design evaluation tied to MLOps architecture.
- Do not skip framework specific preparation. TFX and TensorFlow Extended show up as one of the highest prominence topics, so you need enough familiarity to discuss it in context.
- Do not hand wave experimental design. Experimental design for lab study planning and cell based assays are high prominence technical topics, and vague answers will likely miss the target.
- Do not assume the process is short and easy. Candidate difficulty distribution shows 21.4% hard and 3.6% very hard, and the offer rate in the reported set was 0.0%, so you should expect strict evaluation.
Recursion Pharmaceuticals interview FAQ
Answered from real candidate and workplace dataWhat interview stages should I expect, in order?
From the reported steps, you typically start with recruiter screen and one or more initial screening calls. After that, you may go through a system design interview and technical interviews, plus an onsite loop over Zoom with three interviews in one day. Some roles also include a panel interview loop, a leadership alignment session, final evaluation, and offer discussion.
How technical is this, and what topics are most important?
Machine learning engineering and ML concepts are at the top of the topic prominence list, and assay development plus cell based assays are also top tier. You should also prioritize production ML or ML pipelines, TFX, experimental design, drug screening workflows, and mathematical foundations for ML.
Is there coding, and what kind?
Yes. There is an online assessment reported as testing SQL, regular expressions, data structures, and coding challenges on a platform like HackerRank. There is also a live coding exercise focused on software design rather than abstract puzzles.
How hard is the process?
In the candidate reports you provided, difficulty skewed mostly medium at 60.7%, with 21.4% hard and 3.6% very hard. Despite that, positive sentiment was 49.4% and the offer rate in the reports was 0.0%, so you should prepare for a high bar.
What should I focus on for communication during interviews?
Scientific and technical communication shows up as a prominent topic, including explaining methods and rationale. Interpersonal communication and professionalism in interviews are also explicitly represented in the topics list.
What happens after the interviews?
After the interview stages, there is a reported final evaluation that may include cross functional discussions, and then an offer discussion step that covers salary and benefits. Some candidates also have a leadership alignment session during the process.
What people say about Recursion Pharmaceuticals
Verbatim snippets from employee and candidate reviews“The flexible environment and supportive colleagues make for a great workplace.”
“The company tends to hire a significant amount of middle management.”
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