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Associate Machine Learning Chemistry Jobs in New York

GBOE

Chemistry Teacher

Garfield, NJ

Designs learning activities to demonstrate the application of science to everyday existence ... fax machines, and telephone. Knowledge, Skills and Abilities * Knowledge of current teaching ...

New York University

Research Associate

New York, NY · On-site

$2.8K - $3.8K/wk

Description FULL TIME RESEARCH ASSOCIATE New York University Tandon School of Engineering Quantum ... The successful candidate will have a demonstrated background in machine learning research as ...

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All JobsAssociate Machine Learning Chemistry JobsAssociate Machine Learning Chemistry Jobs in New York

Associate Machine Learning Chemistry information

What is the difference between Associate Machine Learning Chemistry vs Associate Data Scientist?

AspectAssociate Machine Learning ChemistryAssociate Data Scientist
Required CredentialsBachelor's or Master's in Chemistry, Data Science, or related fields; familiarity with ML frameworksBachelor's or Master's in Data Science, Statistics, Computer Science; programming skills in Python/R
Work EnvironmentResearch labs, pharmaceutical or chemical companies, biotech firmsTech companies, finance, healthcare, consulting firms
Employer & Industry UsageUsed in industries applying ML to chemical data, drug discovery, materials scienceApplied across industries analyzing large datasets, predictive modeling

Associate Machine Learning Chemistry focuses on applying machine learning techniques specifically to chemical and scientific data, often within research or pharmaceutical settings. In contrast, Associate Data Scientist has a broader scope, working with various data types across multiple industries. Both roles require strong analytical skills and familiarity with ML tools, but their industry focus and data types differ.

What is an associate machine learning chemistry?

Associate Machine Learning Chemists are professionals who combine expertise in chemistry with skills in machine learning to analyze chemical data, develop predictive models, and accelerate scientific discovery. They often work on tasks like predicting molecular properties, optimizing chemical reactions, and supporting drug discovery efforts using computational tools. Typically, these roles require a strong foundation in chemistry, programming experience (often in Python), and familiarity with machine learning libraries. Associate positions are generally entry-level or early-career roles, providing support to senior scientists and data scientists in research and development teams.

How does an associate machine learning chemistry professional typically collaborate with research scientists and engineers?

As an Associate Machine Learning Chemistry professional, you will frequently work alongside research scientists and chemical engineers to develop predictive models and analyze experimental data. Collaboration involves translating chemical problems into machine learning tasks, sharing insights from model results, and participating in interdisciplinary meetings to refine research objectives. Effective communication and teamwork are essential, as you may be required to explain machine learning concepts to non-technical colleagues and integrate their domain expertise into your models. This collaborative environment fosters both scientific discovery and professional growth.

What are the key skills and qualifications needed to thrive as an associate machine learning chemistry, and why are they important?

To thrive as an Associate Machine Learning Chemistry professional, you need a solid background in chemistry, data analysis, and machine learning, typically supported by a relevant degree such as chemistry, computer science, or a related field. Experience with programming languages like Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and cheminformatics software is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These competencies enable effective collaboration on interdisciplinary teams and the development of innovative solutions in computational chemistry research.

What are the most commonly searched types of Machine Learning Chemistry jobs in New York?

The most popular types of Machine Learning Chemistry jobs in New York are:

What are popular job titles related to Associate Machine Learning Chemistry jobs in New York?

For Associate Machine Learning Chemistry jobs in New York, the most frequently searched job titles are:

What job categories do people searching Associate Machine Learning Chemistry jobs in New York look for?

The top searched job categories for Associate Machine Learning Chemistry jobs in New York are:

What cities in New York are hiring for Associate Machine Learning Chemistry jobs?

Cities in New York with the most Associate Machine Learning Chemistry job openings:

Associate Machine Learning Chemistry jobs near you

Senior Applied Machine Learning Engineer

EvolutionIQ

Manhattan, NY • On-site, Remote

$134K - $177K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 27 days ago

Job description

Company Description
We're working to make the insurance industry faster, fairer and cheaper for everyone.
Evolution IQ is revolutionizing the insurance industry by changing the way claims analytics are done. We are bringing bleeding-edge technologies to one of the world's oldest industries.
Evolution IQ is developing a next-gen platform for the insurance industry. We develop machines with deep comprehension and vast data access to guide humans to the optimal decisions over large numbers of claims. Our training data includes all parts of historical insurance claims, as well as data we source externally. Our findings are presented in intuitive products to streamline the claim investigation process. The result is potential savings in the hundreds of millions, increased fairness and added precision to insurance pricing.
Our Team
We are founded by a senior Google AI expert and a Bridgewater Associates Algorithmic Investor & Stanford MBA. We're not looking for employees. We're looking for partners in work, partners in culture-building, and partners in the future of data-driven insurance. The development team consists of world class engineers and leaders from companies like Google and Bloomberg. Each individual has had great success building large scale enterprise software and is now excited to try their hand at transforming the insurance industry.
Investors
Our investors include First Round Capital (seed investors in Uber, Square, Looker), FirstMark (Airbnb, Pinterest, Shopify) and Foundation Capital (Lending Club, CoverWallet, Netflix) and we have deep support within each of their organizations. You will also have full access to their networks and counterparts at portfolio companies for advice, ideas and community.
Job Description
Who are you? A machine learning engineer who wants to work in the areas of machine learning, natural language processing, information extraction, graph models, and AI architectures. You want to join a close-knit group and make a big impact. You thrive in an ambiguous environment and are intrinsically motivated and "just figure it out." Be the technical owner of a new, complex machine learning project, working closely with Evolution's ML product manager. Your mission starts with mapping out the opportunity and continues to launching a solution in production.
Qualifications
Outcomes
• Work with PM to map business requirements to a machine learning solution
• Ingest and clean raw client data
• Integrate into Evolution's machine learning platform
• Build, tune, evaluate models (create custom evaluation strategies)
• Reproduce ML prototype in a live production environment
Role Competencies
• Works well with PM to map business requirements to ML architectures on a novel problem
• Acted as owner of applied ML project from conception to shipping (1 or more)
• Acted as part of an ML team that shipped a product
• Expert developer who uses writes clean, efficient, easy to understand code with unit tests, functional design patterns
• Expert in Python 3 and Pandas or equivalent data manipulation library
• Expert data architect eager to solve complex, multi dimensional big data problems with advanced strategic leverage of databases, data assets and DAG pipeline
• Excellent document writing skills
• Extreme creativity and resourcefulness, appetite to solve previously unsolved problems
Other
• Extreme self-starter and self-motivator
• Holds self to extremely high standards, and inspires others to do the same
• Open to giving and receiving critical feedback
• Believes in the mission of the company, cares about fundamental fairness
• Able to handle the ups and downs of early startup life
• Enthusiasm for team work and pair work
• Kind, empathetic, polite and professional
Additional Information
All your information will be kept confidential according to EEO guidelines.
Benefits
We think work should be intense, rewarding and flexible. While there is a standard set of benefits listed below, we are small enough that we can consider any specific requests that you may need. We're a well-funded company and able to offer competitive compensation packages and real ownership in your work. Specific compensation and equity varies with experience level.
• Full Medical and Dental Insurance
• 401K
• Flexible vacation
• Paid team lunches in office
EvolutionIQ is an equal opportunity employer because we value diversity in all meanings of the word. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.

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