Search for Research Engineer roles in New York, focusing on AI and computational chemistry. I'd like to target positions that require a Bachelor's degree and have at least 1 year of experience. Please include roles with a salary range of $100,000 to $173,000.

Okay, I've searched for Research Engineer roles in New York within AI and computational chemistry, requiring a Bachelor's degree and at least 1 year of experience, with a salary range of $100,000 to$ 173,000. I found 56 positions for you to explore.

Research Engineer

New York, NY

Internet

Bachelor

1 year + Experience

$100000+

$173000-

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Research Engineer - AI for Chemistry role at Meta's FAIR organization fundamentally aims to leverage AI to expedite the discovery of new materials in chemistry, especially within domains like electro-catalysts and nano-porous materials. The responsibilities extend beyond typical research to include collaboration across interdisciplinary teams, technical leadership in large-scale simulations, and the application of machine learning models to real-world material challenges. This means candidates must navigate complex scientific problems while integrating computational methods with experimental insights. Success in this role looks like the advancement from theoretical modeling to tangible product applications, necessitating not only technical acumen in AI and chemistry but also strong problem-solving skills and the ability to manage interdisciplinary communications. Effective candidates will excel in translating complex data into actionable insights while contributing to both academic and industrial advancements in materials science.

Company Analysis:

Meta, as a leading entity in the Internet and technology space, holds a distinctive position focused on pioneering AI technologies and fostering educational initiatives in scientific fields. The company's commitment to innovation and collaboration resonates deeply within the culture, creating an environment where groundbreaking research is the norm. This role, situated within a dynamic research team, likely promotes a collaborative and fast-paced setting, prioritizing agility and responsiveness to emergent technological challenges. Candidates can expect a culture that values knowledge sharing and teamwork, especially with the necessity of partnering with both internal teams and academic institutions. Strategically, this position supports Meta's broader mission to integrate advanced AI solutions into practical applications, driving value not only in technological terms but also through contributions to societal challenges like climate change and materials efficiency. The opportunity to influence the lifecycle of material discovery from simulation to product bolsters the role's significance and visibility within the organization.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you collaborated with a cross-functional team. What challenges did you face?
Describe a project where you had to utilize machine learning for data analysis. What was your approach?
Can you share an experience where your research led to new insights in computational chemistry?
What strategies do you employ for troubleshooting and validating large AI/ML models?
How would you approach developing a new dataset for training an AI model in materials science?
Can you explain your experience with Density Functional Theory and how you've applied it in previous projects?
Imagine you are tasked with determining the efficacy of a new AI model for predicting material properties. How would you go about this?
If our team faced disagreement on the direction of a project, how would you help resolve it?
Why are you interested in working at Meta, and what attracts you to the AI for Chemistry team specifically?
What aligns your personal research interests with the goals of Meta's FAIR organization?
What are the key metrics you would consider to evaluate your performance in this role?
What would you say is the biggest current trend in AI applications within chemistry, and how might it impact our research?
What questions do you have about our approach to interdepartmental collaboration?
Are there specific tools or methodologies you believe could enhance our AI for Chemistry efforts?
What role do you see yourself playing in the broader mission of Meta as it relates to AI and material science?

Job Details

Overview Company

Research Engineer

$56.25/h-$173k/y

Lensa

6 days ago

Highlight

OnsiteFull-time1+ yearEntry

Summary

Meta is seeking a Research Engineer - AI for Chemistry to join their team in New York, NY. The role involves developing AI-based methods to accelerate novel material discovery in collaboration with computational and experimental chemists.

About the Role

As a Research Engineer - AI for Chemistry, you will work on large-scale ab-initio simulations, data generation and management for ML training, ML modeling, and applying ML models to material discovery. You will collaborate with Reality Labs Research and AI researchers in FAIR, and may work jointly with university academic collaborators. The role includes working across the entire lifecycle from computational discovery to productizing new materials.

About You

Required:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
1+ year of industry experience in Machine Learning, Graph Neural Networks, Graph learning, Density Functional Theory, Computational chemistry, Optics, or other similar fields.
Research and engineering experience in Machine Learning or Artificial intelligence.
Interest and experience with computational chemistry, material science, or scientific domains.
Experience collaborating with partner teams.

Preferred:

PhD in Computer Science, Materials Science, Machine Learning, or similar fields of study.
Publications in machine learning.
Experience building very large ab-initio simulation datasets.
Experience testing and validating large AI/ML models for inorganic materials science.

Benefits

$56.25/hour to $173k/year + bonus + equity + benefits

Lensa

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New York, NY