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Machine Learning Engineer New Grad Jobs in West Virginia

Participate in technical interview panels for new engineering candidates. Responsibilities * Drive ... Big Data and Machine Learning technologies * AI Tools (Claude, Cursor) * Automated testing ...

Senior Staff DevOps Engineer

Charleston, WV · Remote

$120K - $154K/yr

Built on a foundation of AI and machine learning, our Identity Security Cloud (Atlas) platform ... Collaborate with development teams to bring new features and services into production safely and ...

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Forward Deployed Engineers(FDEs)at SailPoint embark on their journey by undergoing comprehensive ...

About the role The Senior Software Engineer on the Underwriting team designs and builds backend ... Implement and evolve systems that integrate with statistical models, and machine learning models to ...

In this role, you will apply your software engineering expertise to biometric application ... machine learning and statistical analysis. Experience in C/C++, C#, Java/J2EE development.

Lead the technical evaluation of new AI technologies and vendors, judging architectural fit ... machine learning / AI engineering experience * Proven experience architecting and delivering ...

Showing results 41-60

Machine Learning Engineer New Grad information

See West Virginia salary details

$24.4K

$99.7K

$149.8K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer new grad in West Virginia is $99,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,600.00 and $120,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are popular job titles related to Machine Learning Engineer New Grad jobs in West Virginia?

For Machine Learning Engineer New Grad jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in West Virginia look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in West Virginia are:

What cities in West Virginia are hiring for Machine Learning Engineer New Grad jobs?

Cities in West Virginia with the most Machine Learning Engineer New Grad job openings:

Senior Staff Software Engineer

SailPoint

Charleston, WV

$113K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

This is a US-based remote role. You will be required to interview in person.

Due to FedRAMP requirements, must be a US citizen residing in the US.

About SailPoint
SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job - no more, no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time-matching the scale, velocity, and changing needs of today's cloud-oriented, modern enterprise.

About the role
As a Senior Staff Software Engineer at SailPoint, you will dive into a highly technical, fast-paced role where you drive engineering excellence and architectural direction. Your days will be spent designing, building, and deploying highly scalable, reliable microservices. You will write clean, robust Java code, build advanced prototypes to gather user feedback, and manage high-throughput data transformations. Additionally, you will integrate advanced AI tools such as Claude and Cursor into your daily workflow to accelerate high-quality software delivery.

About the team
The SailPoint Engineering Organization is a results-driven environment where high-quality professional engineering meets individual impact. Our team builds and maintains products on a mature, cloud-native event-driven microservices architecture hosted in AWS. We are passionate about developer autonomy, technical innovation, and delivering state-of-the-art SaaS platform solutions.

Roadmap for success

  • Day 30 (Onboarding & Integration): Successfully merge your first code to production. Map out the technical architecture of your primary domain and establish relationships with key engineering, product, and business stakeholders.

  • Day 60 (Ownership & AI Impact): Take full end-to-end ownership of a critical backend feature design. Author your first major architectural design document and implement an AI-assisted development workflow for your immediate team.

  • Day 90 (Delivery & Leadership): Successfully deploy your first major scalable system to production, meeting all observability and reliability metrics. Establish active mentorship with at least two mid/senior engineers and present a roadmap for technical simplification to leadership.

  • By 1 Year: Demonstrate significant participation and contributions to cross-team initiatives. Drive green field initiatives from the ground up while participating and leading virtual teams and managing dependencies. Participate in technical interview panels for new engineering candidates.

Responsibilities

  • Drive the design, implementation, and deployment of efficient, maintainable, robust micro-services to deliver medium-to-high complexity features.

  • Set a high bar for code/design reviews and fortify the team's coding/quality standards.

  • Collaborate with the technical teams, and product managers to implement features that meets our product vision

  • Work in an agile environment, collaborate with peers on designs, technical refinements, code reviews, testing and customer issues.

  • Continue to maintain the "We built it, we maintain it" SailPoint culture:Participate in the product OnCall and TechOps process.

  • Mentor junior members and guide them on technical solutions.

  • Managing development and release process of FedRAMP instances

  • Collaborate with peers on designs, code reviews, testing and UX/interactive designs

  • Develop automated tests across the full stack, complete with code-coverage metrics

  • Produce designs and rough estimates, and implement features based on product requirements.

  • Produce unit and end-to-end tests to improve code quality and maximize code coverage for new and existing features.

Requirements

  • 8+ years of professional software development experience

  • Strong Java experience

  • Experience in design/implementation of event-driven architectures and performant micro-services

  • Multi-tenant SaaS product development experience - server-side in Java & Go

  • Experience in designing, implementing RESTful APIs for an API-first application architecture

  • Great communication skills

  • BS in Computer Science, or a related field

  • Advanced experience with object-oriented analysis and design skills

  • Proven experience using AI tools (Claude, Cursor) to build releasable, maintainable code

  • Strong understanding of and experience with data pipelines and data transformations at scale

The Tech Stack

  • Java

  • AWS (Amazon Web Services)

  • Big Data and Machine Learning technologies

  • AI Tools (Claude, Cursor)

  • Automated testing frameworks

Preferred Skills

  • Experience with AWS

  • Experience with Continuous Delivery

  • Experience working on a Big Data/Machine Learning product

  • Experience instrumenting code for gathering production performance metrics

  • Education:Bachelors degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience in large-scale software development.


Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.


As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint's differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-max, USD):

$155,800 - $262,550.00

Base salaries for employees based in other locations are competitive for the employee's home location.

Benefits Overview

1. Health and wellness coverage: Medical, dental, and vision insurance

2. Disability coverage: Short-term and long-term disability

3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)

4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children

5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account

6. Financial security: 401(k) Savings and Investment Plan with company matching

7. Time off benefits: Flexible vacation policy

8. Holidays: 8 paid holidays annually

9. Sick leave

10. Parental support: Paid parental leave

11. Employee Assistance Program (EAP) and Care Counselors

12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options

13. Health Savings Account (HSA) with employer contribution

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.