Calico Life Sciences H-1B Visa Sponsorship Jobs USA
Calico Life Sciences sponsors H-1B visas for research scientists, computational biologists, and other specialized roles in longevity science. The company has a documented sponsorship history and is a viable target for international candidates with advanced degrees in life sciences, data science, or related fields.
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Get Access To All JobsWho We Are
Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.
Position Description
Calico seeks a Senior / Staff Machine Learning Infrastructure Engineer to productize machine learning algorithms and build a cutting-edge computing and machine learning platform for analyzing biological data sets and modeling macromolecule sequences and structures. You will contribute to a cross-functional effort to create a world-class computing and data analysis platform that supports research initiatives at Calico through the following:
- Develop and optimize: Build software infrastructure and tools that accelerate ML research, manage training and inference workflows, and facilitate efficient data ingestion and curation
- Define engineering best practices: Lead efforts to reorganize and refactor existing research codebases to improve code quality and reproducibility
- Collaborate for impact: Work closely with our ML research scientists to deploy models that address critical questions in aging research and advance Calico's mission
The ideal candidate will possess substantial expertise in designing, developing, and maintaining scalable and reliable ML infrastructure components, encompassing data pipelines, model training and deployment systems, and monitoring tools. Candidates should have a demonstrated track record of optimizing ML workflows for performance and resource utilization. Candidates should remain up to date on best practices for ML model management, versioning, and reproducibility. Candidates must demonstrate a strong ability to communicate ideas and results and collaborate across functions to execute complex projects.
Position Requirements
- Ph.D. in Computer Science, or related technical field, plus 4+ years of industry experience; or M.S. in Computer Science, or related technical field, plus 7+ years industry experience
- Strong software engineering skills and substantial expertise in Python
- A strong background in designing, developing, and maintaining ML infrastructure components in a production environment
- Experience in productionizing ML models developed in Jax, Tensorflow, or Pytorch
- Proficiency in building data pipelines, model training and deployment systems, and monitoring tools
- Excellent problem-solving and analytical skills
- Understanding of distributed systems and parallel computing
- Track record of outstanding communication and collaboration in a cross-functional environment
- A desire to stay current with the latest ML infrastructure technologies and best practices
- Must be willing to work onsite at least four days a week
Nice To Have
- Domain expertise in computational biology, biochemistry or structural biology
- Prior experience working with biological data
- Experience in working with Google
The estimated base salary range for this role is $209,000 - $278,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.
Who We Are
Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.
Position Description
Calico seeks a Senior / Staff Machine Learning Infrastructure Engineer to productize machine learning algorithms and build a cutting-edge computing and machine learning platform for analyzing biological data sets and modeling macromolecule sequences and structures. You will contribute to a cross-functional effort to create a world-class computing and data analysis platform that supports research initiatives at Calico through the following:
- Develop and optimize: Build software infrastructure and tools that accelerate ML research, manage training and inference workflows, and facilitate efficient data ingestion and curation
- Define engineering best practices: Lead efforts to reorganize and refactor existing research codebases to improve code quality and reproducibility
- Collaborate for impact: Work closely with our ML research scientists to deploy models that address critical questions in aging research and advance Calico's mission
The ideal candidate will possess substantial expertise in designing, developing, and maintaining scalable and reliable ML infrastructure components, encompassing data pipelines, model training and deployment systems, and monitoring tools. Candidates should have a demonstrated track record of optimizing ML workflows for performance and resource utilization. Candidates should remain up to date on best practices for ML model management, versioning, and reproducibility. Candidates must demonstrate a strong ability to communicate ideas and results and collaborate across functions to execute complex projects.
Position Requirements
- Ph.D. in Computer Science, or related technical field, plus 4+ years of industry experience; or M.S. in Computer Science, or related technical field, plus 7+ years industry experience
- Strong software engineering skills and substantial expertise in Python
- A strong background in designing, developing, and maintaining ML infrastructure components in a production environment
- Experience in productionizing ML models developed in Jax, Tensorflow, or Pytorch
- Proficiency in building data pipelines, model training and deployment systems, and monitoring tools
- Excellent problem-solving and analytical skills
- Understanding of distributed systems and parallel computing
- Track record of outstanding communication and collaboration in a cross-functional environment
- A desire to stay current with the latest ML infrastructure technologies and best practices
- Must be willing to work onsite at least four days a week
Nice To Have
- Domain expertise in computational biology, biochemistry or structural biology
- Prior experience working with biological data
- Experience in working with Google
The estimated base salary range for this role is $209,000 - $278,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.
Job Roles at Calico Life Sciences
How to Get Visa Sponsorship in Calico Life Sciences H-1B Visa Sponsorship Jobs USA
Target research and computational roles
Calico's H-1B sponsorship is concentrated in highly specialized scientific positions. Focus your applications on roles requiring advanced degrees in biology, biochemistry, computational science, or related fields, where H-1B sponsorship is a standard part of the hiring process.
Verify Calico's active job openings before applying
Calico operates as a focused research organization with selective hiring cycles. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you identify when Calico has live roles that align with your background and visa needs.
Lead with your research contributions, not just your credentials
Calico evaluates candidates on the scientific impact of their work. In your application materials, emphasize published research, lab experience, and specific contributions to relevant fields like aging biology or data-driven drug discovery rather than listing credentials alone.
Understand the H-1B petition timeline relative to your current status
If you're transitioning from F-1 OPT or another status, align your Calico application timeline with H-1B cap filing windows. Starting conversations with the recruiting team well before your status expires gives the company time to initiate the sponsorship process.
Prepare for a technically rigorous interview process
Calico's hiring reflects the depth of its research mission. Expect interviews that assess scientific judgment and problem-solving at a high level. Strong interview performance signals that sponsorship costs are a worthwhile investment, which directly influences hiring decisions for international candidates.
Ask directly about H-1B sponsorship during the recruiting process
Calico sponsors multiple visa types, and its recruiter team is experienced with international candidates. Raising H-1B sponsorship early in the conversation confirms eligibility and prevents wasted time if the specific role or headcount situation doesn't support sponsorship at that moment.
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Get Access To All JobsFrequently Asked Questions
Does Calico Life Sciences sponsor H-1B visas?
Yes, Calico Life Sciences sponsors H-1B visas. The company has an established track record of sponsoring international candidates, particularly for scientific and research roles. Calico also sponsors other work visa categories including H-1B1, TN, and J-1, reflecting its experience working with international talent across its research organization.
Which roles and departments at Calico Life Sciences typically receive H-1B sponsorship?
H-1B sponsorship at Calico is most common in research-intensive roles such as research scientists, computational biologists, bioinformaticians, and data scientists. These positions require highly specialized expertise that qualifies clearly as a specialty occupation under H-1B standards. Roles in engineering and scientific operations supporting the lab may also be eligible depending on degree requirements.
How do I apply for a job at Calico Life Sciences as an H-1B candidate?
Apply through Calico's careers page and be transparent about your need for H-1B sponsorship in early recruiter conversations. If selected, Calico's legal team typically works with an immigration attorney to file the H-1B petition. You can also find and track Calico's open roles on Migrate Mate, which filters verified H-1B sponsors to help you prioritize your applications.
What is the H-1B sponsorship timeline at Calico Life Sciences?
The timeline depends on where you are in the process. If you need to go through the H-1B cap lottery, your employer must submit a registration in March for an October 1 start date. If you're transferring an existing H-1B from another employer, Calico can file a transfer petition outside the cap and you can begin work once the petition is received by USCIS.
How do I strengthen my chances of getting H-1B sponsorship at Calico Life Sciences?
The strongest applications come from candidates whose research background aligns tightly with Calico's focus on the biology of aging and longevity. A Ph.D. or strong publication record in a relevant field reduces friction in the sponsorship decision. Engaging with recruiters early, demonstrating scientific impact clearly, and being ready to discuss your visa timeline up front all improve your odds significantly.
What is the prevailing wage for H-1B jobs at Calico Life Sciences?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.
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