1,000+ matching jobs for “Field Service Engineer 1”

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Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Capital One Financial

Machine Learning Engineer 4

Cambridge, Massachusetts, United States +2 locations

… Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of …

Added Oct 27, 2026

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Applied Materials

Electrical Engineer III

Gloucester, Massachusetts, United States

Pay posted by employer$108,000–$148,500

… solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of …

Added Oct 27, 2026

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Applied Materials

Mechanical Engineer V

Santa Clara, California, United States

Pay posted by employer$163,000–$224,000

Added Oct 27, 2026

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General Motors

Senior Software Engineer

Warren, Michigan, United States

Hybrid
Full time
Regular

… commercial software, incorporating modular integration layers, third-party API connectivity, and scalable service-oriented architectures to support extensibility and cross-platform interoperability. Manage the full …

Added Oct 12, 2026

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Comms Manufacturing Engineer*

Indianapolis, Indiana, United States

In person

Pay posted by employer$98,964–$120,957

Job Title Comms Manufacturing Engineer* Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a …

Added Oct 27, 2026

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Applied Materials

Process Integration Engineer

Albany, New York, United States +1 location

Pay posted by employer$108,000–$148,500

… virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. …

Added Oct 27, 2026

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Eversource Energy

Senior Engineer (Hybrid Schedule)

Dorchester, Massachusetts, United States

Full time
Regular

Pay posted by employer$129,450–$143,830 per year

… for maintaining support and managing the source of records of the Distribution SCADA system. The Senior Engineer will participate in planning, development, scheduling and troubleshooting of D-SCADA. The Senior Engineer …

Added Nov 3, 2026

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Workday

Sr. Collaboration Engineer

Pleasanton, California, United States

Flex
Full time

… across a fast-paced, distributed workforce. We partner closely with teams across Sales, Marketing, Customer Service, HR, Employee Communications, and other functions to deliver seamless, integrated experiences that support …

Added Oct 27, 2026

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Johnson & Johnson

Senior Qualification Engineer

Leiden, The Netherlands

Full time
Internship

… Biologics B.V., a member of the Johnson & Johnson's Family of Companies is recruiting a fixed term (1 year) Sr. Qualification Engineer to be based in Leiden, Netherlands. Our site produces biotherapeutic drug …

Added Oct 15, 2026

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Capital One Financial

Mobile Engineer 4 (iOS)

McLean, Virginia, United States

… experience Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of …

Added Oct 30, 2026

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Oshkosh

Lean Manufacturing Engineer

Murfreesboro, Tennessee, United States

Full time
Regular

Pay posted by employer$73,200–$117,800

… refuse trucks, front-discharge mixer trucks, fire apparatus, Airport Rescue and Fire Fighting trucks, service vehicles, and command trucks. Our products are designed to perform under the toughest conditions. Oshkosh …

Added Nov 3, 2026

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Capital One Financial

Machine Learning Engineer 4

Chicago, Illinois, United States

Added Oct 27, 2026

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Capital One Financial

Machine Learning Engineer 4

McLean, Virginia, United States 2 postings

Added Oct 27, 2026

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AES

Wind Project Engineer

Louisville, Colorado, United States

Pay posted by employer$94,000–$112,625 per year

… US-based global power company with a team of 8,300 employees across 12 countries. AES has been ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive …

Added Nov 3, 2026

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Applied Materials

Process Support Engineer II

Dallas-Richardson,TX

Pay posted by employer$86,500–$119,000

Added Oct 27, 2026

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Air Products & Chemicals

UHP Analytical Engineer

Chandler, Arizona, United States

… of groundbreaking, world scale production facilities. Reimagine What’s Possible The UHP Analytical Engineer is an exciting role supporting analytical instrumentation across Air Products’ gas production and …

Added Nov 3, 2026

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KLA

Product Development Engineer

Ann Arbor, Michigan, United States

Pay posted by employer$97,000–$164,900 per year

… across your area of expertise. Job Description/Responsibilities KLA is looking for a Product Development Engineer to support electron beam based metrology instruments developed in our engineering group in Ann Arbor. The …

Added Oct 20, 2026

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KLA

Product Engineer (E)

Milpitas, California, United States

Full time
Regular

Pay posted by employer$95,000–$161,500

… actions. Generate documentation relevant for troubleshooting processes, technical findings, providing service and postmortem reports. Help to define and optimize the Preventative Maintenance Schedule for systems of …

Added Oct 15, 2026

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S&P Global

Sr DevSecOps Engineer

Hyderabad, Telangana, India +2 locations

Grade Level (for internal use): 10 Role: Senior DevSecOps Engineer – Enterprise Developer Platform and Toolchain The Team The Enterprise Developer Platform & Toolchain team …

Added Nov 3, 2026

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Capital One Financial

Machine Learning Engineer 4

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Machine Learning Engineer 4

Cambridge, Massachusetts, United States +2 more

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Basic Qualifications · employer excerpt

Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 4 years of experience programming with Python, Java, Golang, or C++
At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

About this opportunity

Original employer description

Machine Learning Engineer 4

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.

In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.

What You’ll Do:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

Basic Qualifications:

Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 4 years of experience programming with Python, Java, Golang, or C++
At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

Preferred Qualifications:

Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field
3+ years of experience optimizing ML algorithms, configurations, and infrastructure
3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.
3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.
1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation
Authored/co-authored a paper on a ML technique, model, or proof of concept

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4

McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4

Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Why this result? · Employer labels

Keywords also found in description

AI & ML Engineering and Sciences

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.