Machine Learning Engineer - Early in Career

Splunk; California (MO); Hybrid; USD 107,000 - 148,000; Full time

Job summary

An established industry player is seeking enthusiastic graduates to join their dynamic team as Machine Learning Engineers. In this exciting role, you'll integrate AI/ML solutions into innovative products while collaborating with talented software engineers and data scientists. This opportunity not only supports your professional growth but also immerses you in a culture that values kindness and teamwork. With a focus on mentorship and real project experiences, you'll be empowered to achieve your career goals in a supportive environment. If you're passionate about technology and eager to make an impact, this role offers a fantastic start to your career.

Benefits

Medical insurance

Dental insurance

Vision insurance

401(k) plan and match

Paid time off

Qualifications

• Actively pursuing a degree in a technical field with strong academic achievement.
• Experience with AI/ML topics and programming in large software projects.

Responsibilities

• Integrate AI/ML solutions into products and services.
• Collaborate with engineers, data scientists, and product managers.

Skills

Problem-solving skills

Communication skills

Team collaboration

Enthusiasm for solving problems

Education

Bachelor’s in Computer Science

Master’s in Computer Science

Bachelor’s in Software Engineering

Master’s in Software Engineering

Bachelor’s in Electrical Engineering

Master’s in Electrical Engineering

Bachelor’s in Mathematics

Master’s in Mathematics

Tools

TensorFlow

PyTorch

Ray

vLLM

Python

Job description

Machine Learning Engineer - Early in Career

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back.

Role Summary

Splunk is looking for Bachelor’s or Master's graduates to join our team! As a Machine Learning Engineer, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic environment.

You will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.

What you'll get to do

1. Integrate AI/ML solutions into Splunk products and services
2. Achieve data science and software engineering goals set by you and your mentor
3. Learn about Splunk, both the product and the company
4. Collaborate closely with software engineers, data scientists, and product managers

Must-have Qualifications

Actively pursuing a Bachelor’s or Master's in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related technical field, and a strong record of academic achievement.

Nice-to-have Qualifications

We’ve taken special care to separate the must-have qualifications from the nice-to-haves. “Nice-to-have” means just that: Nice. To. Have. So, don’t worry if you can’t check off every box. We’re not hiring a list of bullet points–we’re interested in the whole you.

1. Coursework or research experience in artificial intelligence and machine learning topics such as time series analysis (univariate and multivariate), anomaly detection, generative AI technology and Large Language Models (LLM)
2. Experience programming in a large software project – at school, professionally, or in an open source context
3. Coursework and project or internship experience in big data systems or distributed systems
4. Exposure to ML frameworks (e.g., TensorFlow, PyTorch, Ray, vLLM) and Python
5. Ability to work well with others in a fast-paced environment
6. Strong communication skills, verbal and written
7. Enthusiasm for solving interesting problems

Splunk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Compensation and Benefits

Base Pay Range

SF Bay Area, Seattle Metro, and New York City Metro Area: $119,200.00 - 163,900.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts: $107,280.00 - 147,510.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area: $95,360.00 - 131,120.00 per year

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https://splunkbenefits.com.