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Entry Level Machine Learning Engineer Jobs in Rensselaer, NY

GAI Consultants

Highway Entry Level Engineer CM

Albany, NY · On-site

$32.50 - $45/hr

We are seeking Junior Engineers (0-2 years of experience) to complement existing engineering staff ... Paid maternity, paternity, and adoption leave Growth, Learning & Financial Security * 401(k) with ...

Actalent

Entry Level Recruiter | Sales Trainee

Latham, NY · On-site

$195K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... Screening potential consultants through interviews and reference checks, while learning about their ...

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All JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Rensselaer, NY

Entry Level Machine Learning Engineer information

See Rensselaer, NY salary details

$29.8K

$68.9K

$117.2K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for entry level machine learning engineer in Rensselaer, NY is $68,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $77,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What cities near Rensselaer, NY are hiring for Entry Level Machine Learning Engineer jobs? Cities near Rensselaer, NY with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Entry Level Infrastructure Software Engineer

Entry Level Infrastructure Software Engineer

General Dynamics Mission Systems, Inc

Pittsfield, MA • Hybrid

$77K - $86K/yr

Full-time

Medical, Retirement

Posted 21 days ago

General Dynamics Mission Systems rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

83rd of 202 rated software companies

Job description

Bachelor’s degree in Systems Engineering, or a related Science, Engineering or Mathematics field. Agile experience preferred.

CLEARANCE REQUIREMENTS: Department of Defense Secret security clearance is preferred at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.


ROLE AND POSITION OBJECTIVES:

As an Infrastructure Software Engineer/Administrator for Surface Ship Systems Programs, you’ll be a member of an agile team responsible for delivering a robust, flexible, secure, and stable infrastructure for U.S. Navy surface ships. You will develop and configure common solutions to complex problems, test and troubleshoot in a lab environment, and create documentation to support a rigorous engineering process. You'll meet with your team daily to collaborate and problem solve to ensure we meet our commitments to the U.S. Navy mission. Selected candidate will be expected to travel up to 50% of the time.

We encourage you to apply if you have any of these preferred skills or experiences: understanding of and experience with Linux Server technologies and/or Microsoft Windows Desktop and Server technologies, experience with scripting and automation technologies (specifically PowerShell, BASH, and Ansible), and/or experience designing, configuring, and securing virtual machines (VMware and Proxmox).

What sets you apart:

  • Clear understanding of systems engineering concepts, principles, theories, and technical standards
  • Information Technology (IT) skills or experience, including systems administration, scanning/vulnerability management, and supporting end-users
  • CompTIA Security+ Certification (or ability to obtain)
  • Creative thinker with ability to grasp and apply new information quickly and handle increasing responsibilities with growing complexity
  • Strong problem solving and troubleshooting skills
  • Team player who thrives in collaborative environments and revels in team success
  • Strong presentation and communication skills, both oral and written
  • Commitment to ongoing professional development for yourself and others
  • Identifies opportunities to apply AI for continuous improvement and innovation


Our Commitment to You:

  • An exciting career path with opportunities for continuous learning and development. 
  • Research oriented work, alongside award winning teams developing practical solutions for our nation’s security
  • Flexible schedules with every other Friday off work, if desired (9/80 schedule)
  • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
  • See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:
This position is either fully on-site or hybrid/flex (work from home and on-site based on a defined schedule). While on-site, you will be a part of the Pittsfield, MA team. Learn more at https://gdmissionsystems.com/about-us/major-locations/pittsfield.

#LI-Hybrid


This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
USD $77,843.00 - USD $86,358.00 /Yr.

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!


Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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