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Associate Machine Learning Chemistry Jobs in Renton, WA

Machine Learning Engineer II

Seattle, WA ยท On-site

$159 - $255/hr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... In this role you will work with a high performing team of applied scientists, machine learning ...

As an Associate you will focus on learning and contributing to client engagement, building ... machine learning, NLP, and LLMs in relevant projects - Contribute to team efforts while enhancing ...

As an Artificial Intelligence and Machine Learning Computational Science professional, you will ... If Associate's Degree, must have minimum 6 years work experience) Bonus points if you have:

As an Artificial Intelligence and Machine Learning Computational Science professional, you will ... If Associate's Degree, must have minimum 6 years work experience) Bonus points if you have:

AI Engineer

Seattle, WA ยท On-site

$50K - $112K/yr

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate ...

Data Scientist

Renton, WA ยท On-site

$104.10 - $146.63/hr

... machine learning models and workflows. Additionally, you'll support others by being a technical lead in order to support the development of other Associate Data Scientists. This position is part of ...

The team consists of collaborative data scientists and machine learning engineers skilled in ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

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Associate Machine Learning Chemistry information

See Renton, WA salary details

$35.4K

$149.7K

$353.8K

How much do associate machine learning chemistry jobs pay per year?

As of Aug 19, 2026, the average yearly pay for associate machine learning chemistry in Renton, WA is $149,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $227,200.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Associate Machine Learning Chemistry jobs in Renton, WA?

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

What job categories do people searching Associate Machine Learning Chemistry jobs in Renton, WA look for?

The top searched job categories for Associate Machine Learning Chemistry jobs in Renton, WA are:

Infographic showing various Associate Machine Learning Chemistry job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $149,671 per year, or $72 per hour.

Machine Learning Engineer II

Capital-Group-1

Seattle, WA โ€ข On-site

$159 - $255/hr

Other

Medical, Life, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

โ€œI can be myself at work.โ€You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniquenessโ€”and weโ€™re committed to fostering a strong sense of belonging in a respectful workplace.We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.โ€œI can influence my income.โ€You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. Youโ€™ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.โ€œI can lead a full life.โ€You bring unique goals and interests to your job and your life. Whether youโ€™re raising a family, youโ€™re passionate about where you volunteer, or you want to explore different career paths, weโ€™ll give you the resources that can set you up for success.Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work optionsReceive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you loveAccess on-demand professional development resources that allow you to hone existing skills and learn new onesโ€œI can succeed as a Machine Learning Engineer at Capital Groupโ€As a Machine Learning Engineer at Capital Group, you will create, research, implement, and maintain state of the art machine learning models, data pipelines, and analytical systems to significantly enhance our investment processes and outcomes. You will conduct applied research into financial modeling to help our investment professionals make better decisions. In this role, you will collaborate directly with senior investment professionals and fellow technology associates to enhance our investment process through the use of state-of-the art ML techniques.In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production, including machine learning systems, data pipelines, financial models, and generative AI systems. We are seeking a candidate who has hands-on experience architecting and delivering working systems and who is passionate about leveraging modern machine learning and software engineering innovations to produce superior long-term investment outcomes.โ€œI am the person Capital Group is looking for.โ€You will design, research, build, deliver and operate machine learning systems, data pipelines, and financial models which demonstrably improve the efficiency and effectiveness of CGโ€™s investment process by making investment decisions.You successfully research, train, evaluate and deploy models for financial modeling and data analysis from inception to deployment and operation.You uphold a high standard of quality in your work, ensuring integrity in both form and function.You write clear, efficient, and performant code.You collaborate effectively to support team strategy, contributing to decisions regarding modeling and technology.You proactively identify and tackle the root causes of endemic modeling problems, collaborating with cross-functional teams to implement sustainable solutions.You work with a sense of urgency, and design and build simple and pragmatic solutions which solve complex problems.Qualifications:You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design skills with understanding of common design patterns.You have a demonstrated track record in one or more machine learning subfield relevant to financial modeling, such as time series analysis, quantitative modeling, optimization, anomaly detection, or predictive analytics.You have experience solving โ€œfull stackโ€ machine learning problems, from data collection and ETL development to model training and deployment, and experience using machine learning to solve real business problems in finance or investment management.You are strong communicator with the ability to establish and maintain a close working relationship with distributed team members and business partners.You possess strong computer science fundamentals including data structures, algorithms, and complexity analysis.You have knowledge of software engineering best practices (e.g. Agile software development, test-driven development, unit testing, code reviews, design documentation).You have a track record of successfully delivering enterprise-grade models into production.You have experience with AWS services (S3, containers โ€“ ECS & EKS, Lambda) preferred.โ€œI can apply in less than 4 minutes.โ€Youโ€™ve reviewed this job posting and youโ€™re ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isnโ€™t what youโ€™re looking for, check out our other opportunities and join our talent community.โ€œI can learn more about Capital Group.โ€At Capital Group, the success of the people who invest with us depends on the people in whom we invest. Thatโ€™s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve peopleโ€™s lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.Southern California Base Salary Range: $159,354-$254,966Seattle Base Salary Range: $159,354-$254,966In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capitalโ€™s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.You can learn more about our compensation and benefits here.Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law. #J-18808-Ljbffr