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Summer Machine Learning Software Engineer Jobs in Texas

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

The BCI team develops the software and systems that communicate with the brain. These systems ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

... software engineers to ensure reliable, scalable adoption across the business • Communicate ... machine learning or statistical models, with a proven track record of delivering end-to-end ...

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

Mentor and grow other software engineers and Machine Learning Engineers across teams * Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the ...

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that ... Data visualization software (Tableau preferred) * Familiarity with AWS SageMaker * Strong ...

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Summer Machine Learning Software Engineer information

What is the difference between Summer Machine Learning Software Engineer vs Summer Data Scientist?

AspectSummer Machine Learning Software EngineerSummer Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; coding skills in Python, JavaBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentSoftware development teams, coding, model deploymentData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, startups, research labsTech firms, finance, healthcare, consulting

While both roles involve working with data and algorithms, Summer Machine Learning Software Engineers focus on developing and deploying machine learning models through coding and software development. Summer Data Scientists primarily analyze data, build statistical models, and generate insights. The roles often overlap but differ in their core activities and skill emphasis.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Texas? The most popular types of Machine Learning Software Engineer jobs in Texas are:
Senior Lead Software Engineer - Data / Machine Learning Operations

Senior Lead Software Engineer - Data / Machine Learning Operations

JP Morgan Chase

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 9 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Risk Technology Portfolio team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Design and develop large-scale solutions or platforms using Cloud services (i.e. AWS) in alignment with the firm wide strategies and security controls
  • Deploy and enable cloud based solutions at firm level, supporting complex analytics and day to day business operations
  • Migrate legacy an big data applications at Cloud native applications with zero downtime
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Develop solutions or tools to monitor, provision components for automation or the processes, services, and reports
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle
  • Leverage your strong operational skills to develop impactful recommendations on upstream product, processes, or policy improvements that will optimize the user experience
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training and certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Good knowledge of Machine Learning modelling as an engineer
  • Advanced in one or more programming language(s) and framework(s) (i.e., Python, Java, Big Data, Data pipeline, Machine Learning, etc.)
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Advanced knowledge of application, data, and infrastructure architecture disciplines
  • Working experience in software development, OOPS and SDLC
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Knowledge of the financial services industry and their TI systems
  • Practical cloud native experience
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
  • AWS certifications (e.g. Solutions Architect Associate)
  • Knowledge of RAG architectures and exposure to AI/Automation technologies that improve operations
  • Experience with building Data Pipelines in Spark, Tuning Spark queries
  • Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.)
  • Working knowledge with Big Data platforms (i.e., Hadoop preferred)
  • Experience in Cloud Technologies (i.e., AWS - Databricks preferred)
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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