Join a dynamic team at the forefront of machine learning-enabled digital assistance, where you'll ... As a Lead Software Engineer (Vice President) at JPMorganChase within the Machine Learning and ...
Join a dynamic team at the forefront of machine learning-enabled digital assistance, where you'll ... As a Lead Software Engineer (Vice President) at JPMorganChase within the Machine Learning and ...
The Applied AI/ML Lead will drive machine learning and generative AI projects, working collaboratively with product managers and engineers to implement cutting-edge AI solutions that enhance the Home ...
The Applied AI/ML Lead will drive machine learning and generative AI projects, working collaboratively with product managers and engineers to implement cutting-edge AI solutions that enhance the Home ...
Join a dynamic team at the forefront of machine learning-enabled digital assistance, where you'll ... As a Lead Software Engineer (Vice President) at JPMorganChase within the Machine Learning and ...
Join a dynamic team at the forefront of machine learning-enabled digital assistance, where you'll ... As a Lead Software Engineer (Vice President) at JPMorganChase within the Machine Learning and ...
Join a dynamic team at the forefront of machine learning-enabled digital assistance, where you'll ... As a Lead Software Engineer (Vice President) at JPMorganChase within the Machine Learning and ...
Join a dynamic team at the forefront of machine learning-enabled digital assistance, where you'll ... As a Lead Software Engineer (Vice President) at JPMorganChase within the Machine Learning and ...
Senior Applied Scientist
Wilmington, DE · On-site +1
We work closely with engineering, product, design, data engineering, machine learning operations, and LLM engineering teams to translate complex AI research into production-ready features used by ...
Senior Applied Scientist
Wilmington, DE · On-site +1
We work closely with engineering, product, design, data engineering, machine learning operations, and LLM engineering teams to translate complex AI research into production-ready features used by ...
AI/ML Software Developer
Newark, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Newark, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Dover, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Dover, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Smyrna, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Smyrna, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Seaford, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Seaford, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Milford, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
AI/ML Software Developer
Milford, DE · Remote
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...
New
Senior Manager, Statistical Modeling
Newark, DE · On-site
$85.10K - $104.60K/yr
Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...
Senior Manager, Statistical Modeling
Newark, DE · On-site
$85.10K - $104.60K/yr
Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...
Senior Manager, Statistical Modeling
$85.30K - $105K/yr
Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...
Senior Manager, Statistical Modeling
$85.30K - $105K/yr
Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...
Senior Manager, Statistical Modeling
Newark, DE · On-site
$85.10K - $104.60K/yr
Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...
Senior Manager, Statistical Modeling
Newark, DE · On-site
$85.10K - $104.60K/yr
Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business ...
Machine Learning Engineer Biotech information
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?
How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?
What does a Machine Learning Engineer do in the biotech industry?
What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?
| Aspect | Machine Learning Engineer Biotech | Data Scientist Biotech |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models, coding, deploying algorithms in biotech R&D | Analyzes biological data, interprets results, creates reports |
| Employer & Industry Usage | Biotech firms, pharma companies, research labs | Biotech companies, healthcare, research institutions |
While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.
Full-time
Medical, Retirement
Posted 25 days ago
JPMorgan Chase & Co. rating
8.1
Based on 467 frontline employees who took The Breakroom Quiz
45th of 141 rated banks
Job description
Join a dynamic team at the forefront of machine learning-enabled digital assistance, where you'll help transform the call center agent experience through real-time guidance, workflow automation, and intelligent decision support.
As a Lead Software Engineer (Vice President) at JPMorganChase within the Machine Learning and Intelligence Operations Virtual Agent Assist team, you'll be a core technical contributor on an agile team that enhances, builds, and delivers trusted, market-leading technology products in a secure, stable, and scalable way. You'll partner across product, design, and engineering to deliver critical solutions that support the firm's business objectives while raising the bar on reliability and developer excellence.
Job responsibilities
- Design and deliver end-to-end full-stack features that improve agent workflows and customer outcomes using Java, Spring Boot, REST APIs, and modern user interface frameworks
- Build secure, high-quality production services and user experiences, and apply sound engineering practices to ensure maintainability and performance
- Lead technical design discussions and drive solution architecture across backend and frontend components, balancing speed, quality, and long-term scalability
- Implement automation and proactive monitoring to reduce recurring issues and improve the operational stability and resiliency of the platform
- Review code, provide actionable feedback, and raise engineering standards through testing discipline, design patterns, and continuous improvement
- Partner with product managers, designers, data and machine learning partners, and other engineering teams to deliver solutions aligned to business needs
- Evaluate third-party solutions and integration approaches, and make recommendations that fit enterprise architecture, security, and reliability expectations
- Identify technical risks early, propose mitigation strategies, and communicate progress and trade-offs clearly to stakeholders
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 5+ years of experience building and delivering full-stack web applications in enterprise environments
- Advanced proficiency in Java and experience building services with Spring and RESTful application programming interfaces
- Strong experience building modern web user interfaces using React and JavaScript/TypeScript
- Experience designing distributed systems using messaging and caching technologies such as Kafka and Redis
- Proficiency with SQL and hands-on experience with relational database design and development
- Experience building delivery automation, including continuous integration and continuous delivery pipelines and infrastructure provisioning using Terraform
- Strong testing discipline, including unit, integration, and automated testing using frameworks such as JUnit, Cucumber, Selenium, or Playwright
- Demonstrated ability to lead technical delivery, influence design decisions, and collaborate effectively across teams
Preferred qualifications, capabilities and skills
- Experience with micro-frontend architecture patterns and large-scale single-page application design
- Experience building and operating cloud-based applications aligned to twelve-factor principles
- Experience with Amazon Web Services, including ECS, S3, DynamoDB, RDS, and ElastiCache
- Familiarity with Python and applied generative artificial intelligence patterns (for example, agent-based workflows)
- Strong mentoring skills, including coaching engineers through design reviews, code reviews, and problem solving
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.What JPMorgan Chase & Co. employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US