X, the moonshot factory
2025 PhD Resident - AI for Lab Automation (Early Stage Biology Pr...
X, the moonshot factory - Mountain View, California, us, 94039
Work at X, the moonshot factory
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Overview
2025 PhD Resident - AI for Lab Automation (Early Stage Biology Project) Join to apply for the
2025 PhD Resident - AI for Lab Automation (Early Stage Biology Project)
role at
X, The Moonshot Factory 2025 PhD Resident - AI for Lab Automation (Early Stage Biology Project) 4 days ago Be among the first 25 applicants Join to apply for the
2025 PhD Resident - AI for Lab Automation (Early Stage Biology Project)
role at
X, The Moonshot Factory Location: X's headquarters in Mountain View, CA Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability
Find out more about this role by reading the information below, then apply to be considered.
How You Will Make 10x Impact
Location: X's headquarters in Mountain View, CA Start Date(s): Year-round rolling basis Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability
Throughout Your AI Residency You Can Expect
To be embedded into one of our confidential or public X projects To get paid competitively and receive benefits To be a part of a lively community of AI and ML Residents To attend tech-talks with AI leaders from across X
About The Team
The Bio Design Kitchen (BioDK) is X’s state-of-the-art biology and chemistry lab that empowers Xers to tackle unique challenges to launch moonshots in biology and chemistry. Our team of resident scientists and engineers are experts at turning concepts into reality, whether it's rapid prototyping, in-house development, or brainstorming novel solutions.
About The Role
We are looking for an exceptional PhD student who has experience in applied ML, robotics, and high-level proficiency in programming to join our team for ∼6 months. The ideal candidate will also have hands-on wet lab experience in biology and experience with automated liquid handling systems. You will be helping us develop and test models to control and orchestrate laboratory instruments and robotics. You should be familiar with concepts in machine learning, including training and evaluating models. You should also be familiar with programming robotic arms (like the UR series) and simulation environments. Experience with hacking scientific equipment or communication protocols is a plus.
You will be a part of X’s Design Kitchen, a world-class team of builders and dreamers, and work closely with other groups involving the frontiers of machine learning. If you are motivated by making the world a radically better place through computation and biology, and want to be part of an inclusive team with diverse mindsets and backgrounds that makes this happen - then this might just be the role for you.
What You Should Have
Currently enrolled in a doctoral (PhD) program in AI, machine learning, robotics, mechanical engineering, computational biology, or a related field. Experience with programming languages, preferably Python. Experience with robotics systems, e.g. manipulators, liquid handlers, or similar. Experience with machine learning systems, algorithms or applications. Knowledge of research biology laboratory practice.
Your Responsibilities
Develop and maintain python codebase for automating laboratory tasks such as liquid handling, automated measurements, data processing, and communications. Develop methods to apply LLMs and agents to laboratory operations. Able to iterate quickly and learn on the job Contribute to experimental design and implementation Work cross-functionally with experts in multiple disciplines at X and Google Must be willing to work onsite five days a week
Some Indicators That You Might Thrive At X
You have the potential to be an exceptional team member, and have relevant skills to contribute to an early stage machine learning-guided protein design moonshot. If you’re creative, collaborative, committed to our mission and think you can help us, let us know! The work will be challenging and requires navigating shifting landscapes, but gives the opportunity to truly shape a potential Alphabet-sized effort.
You are mission driven. You enjoy solving real, large problems that profoundly affect hundreds of millions of people. Audacity, bravery and resiliency are values you embody. You shoot for the moon. You work on the hardest things first. You don’t expect things to succeed on the first try, you design thoughtful experiments and iterate. You are biased to action and will “roll up your sleeves” to do whatever needs done for the team to succeed. You are confident enough to challenge us and humble enough to challenge yourself. You are open to feeling uncomfortable and actively work on your own growth.
You believe that
great teams, not great individuals make breakthroughs . You are self-aware and seek out people who compliment your strengths and shortcomings. You make hard decisions and invest in the growth of your team mates.
It’d Be Great If You Also Had These
Experience with commercial laboratory automation equipment (e.g. Hamilton, Agilent Bravo) Experience with serial and TCP/IP communication standards Experience using and developing code with pylabrobot Experience working in a wet lab environment Understanding of modern synthetic biology workflows and analytical pipelines Applied machine learning experience
Additional Public Information
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video
The US base salary range for this position is $109,000 - $150,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionResearch, Analyst, and Information Technology IndustriesResearch Referrals increase your chances of interviewing at X, The Moonshot Factory by 2x Get notified about new PHD jobs in
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2025 PhD Resident - AI for Lab Automation (Early Stage Biology Project)
role at
X, The Moonshot Factory 2025 PhD Resident - AI for Lab Automation (Early Stage Biology Project) 4 days ago Be among the first 25 applicants Join to apply for the
2025 PhD Resident - AI for Lab Automation (Early Stage Biology Project)
role at
X, The Moonshot Factory Location: X's headquarters in Mountain View, CA Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability
Find out more about this role by reading the information below, then apply to be considered.
How You Will Make 10x Impact
Location: X's headquarters in Mountain View, CA Start Date(s): Year-round rolling basis Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability
Throughout Your AI Residency You Can Expect
To be embedded into one of our confidential or public X projects To get paid competitively and receive benefits To be a part of a lively community of AI and ML Residents To attend tech-talks with AI leaders from across X
About The Team
The Bio Design Kitchen (BioDK) is X’s state-of-the-art biology and chemistry lab that empowers Xers to tackle unique challenges to launch moonshots in biology and chemistry. Our team of resident scientists and engineers are experts at turning concepts into reality, whether it's rapid prototyping, in-house development, or brainstorming novel solutions.
About The Role
We are looking for an exceptional PhD student who has experience in applied ML, robotics, and high-level proficiency in programming to join our team for ∼6 months. The ideal candidate will also have hands-on wet lab experience in biology and experience with automated liquid handling systems. You will be helping us develop and test models to control and orchestrate laboratory instruments and robotics. You should be familiar with concepts in machine learning, including training and evaluating models. You should also be familiar with programming robotic arms (like the UR series) and simulation environments. Experience with hacking scientific equipment or communication protocols is a plus.
You will be a part of X’s Design Kitchen, a world-class team of builders and dreamers, and work closely with other groups involving the frontiers of machine learning. If you are motivated by making the world a radically better place through computation and biology, and want to be part of an inclusive team with diverse mindsets and backgrounds that makes this happen - then this might just be the role for you.
What You Should Have
Currently enrolled in a doctoral (PhD) program in AI, machine learning, robotics, mechanical engineering, computational biology, or a related field. Experience with programming languages, preferably Python. Experience with robotics systems, e.g. manipulators, liquid handlers, or similar. Experience with machine learning systems, algorithms or applications. Knowledge of research biology laboratory practice.
Your Responsibilities
Develop and maintain python codebase for automating laboratory tasks such as liquid handling, automated measurements, data processing, and communications. Develop methods to apply LLMs and agents to laboratory operations. Able to iterate quickly and learn on the job Contribute to experimental design and implementation Work cross-functionally with experts in multiple disciplines at X and Google Must be willing to work onsite five days a week
Some Indicators That You Might Thrive At X
You have the potential to be an exceptional team member, and have relevant skills to contribute to an early stage machine learning-guided protein design moonshot. If you’re creative, collaborative, committed to our mission and think you can help us, let us know! The work will be challenging and requires navigating shifting landscapes, but gives the opportunity to truly shape a potential Alphabet-sized effort.
You are mission driven. You enjoy solving real, large problems that profoundly affect hundreds of millions of people. Audacity, bravery and resiliency are values you embody. You shoot for the moon. You work on the hardest things first. You don’t expect things to succeed on the first try, you design thoughtful experiments and iterate. You are biased to action and will “roll up your sleeves” to do whatever needs done for the team to succeed. You are confident enough to challenge us and humble enough to challenge yourself. You are open to feeling uncomfortable and actively work on your own growth.
You believe that
great teams, not great individuals make breakthroughs . You are self-aware and seek out people who compliment your strengths and shortcomings. You make hard decisions and invest in the growth of your team mates.
It’d Be Great If You Also Had These
Experience with commercial laboratory automation equipment (e.g. Hamilton, Agilent Bravo) Experience with serial and TCP/IP communication standards Experience using and developing code with pylabrobot Experience working in a wet lab environment Understanding of modern synthetic biology workflows and analytical pipelines Applied machine learning experience
Additional Public Information
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video
The US base salary range for this position is $109,000 - $150,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionResearch, Analyst, and Information Technology IndustriesResearch Referrals increase your chances of interviewing at X, The Moonshot Factory by 2x Get notified about new PHD jobs in
Mountain View, CA . Palo Alto, CA $160,000.00-$180,000.00 2 weeks ago Mountain View, CA $138,225.00-$207,575.00 1 week ago Mountain View, CA $145,000.00-$170,000.00 1 week ago Mountain View, CA $141,000.00-$202,000.00 4 days ago Mountain View, CA $141,000.00-$202,000.00 6 days ago Software Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 1 week ago Software Engineer (L4), Content & Business Products Mountain View, CA $130,000.00-$176,000.00 6 days ago Palo Alto, CA $96,000.00-$200,000.00 2 weeks ago San Francisco Bay Area $160,000.00-$180,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Jose, CA $100,500.00-$173,250.00 5 days ago Software Engineer(s) - New Grad (Fall 2025 Graduation)(General Hire) Software Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS) San Jose, CA $113,500.00-$250,000.00 1 week ago Palo Alto, CA $107,000.00-$145,400.00 2 weeks ago Sunnyvale, CA $167,000.00-$185,500.00 19 hours ago Full Stack Software Engineer (L4), Product Localization Engineering San Jose, CA $113,400.00-$206,300.00 2 weeks ago Software Engineer, Research Infrastructure (University Grad) Sunnyvale, CA $117,000.00-$234,000.00 1 week ago Sunnyvale, CA $167,000.00-$185,500.00 13 hours ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 3 days ago Palo Alto, CA $115,000.00-$260,000.00 2 weeks ago eCommerce Full Stack Developer (React / Shopify) - On SiteFrontend Software Engineer - University Graduate 2025 San Mateo, CA $120,000.00-$165,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr