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Entry Level Machine Learning Engineer Jobs in Schenectady, NY

DataAnnotation

SDLC Engineer - AI Trainer

Albany, NY · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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DataAnnotation

QA Engineer - AI Trainer

Albany, NY · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

langan

Civil Engineer - Entry Level

Guilderland, NY · On-site

$68K - $78K/yr

... learning environment. Job Responsibilities * Assist with the planning, design and permitting of civil engineering, land development and infrastructure projects; * Assist with the preparation and ...

langan

Civil Engineer - Entry Level

Guilderland, NY

$68K - $78K/yr

... learning environment. Job Responsibilities * Assist with the planning, design and permitting of civil engineering, land development and infrastructure projects; * Assist with the preparation and ...

GCOM

HBITS-02-11172

Troy, NY · On-site

Perform machine and deep learning models: neural network model, text classification using LSTM and ... Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of ...

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 ...

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

Entry Level Machine Learning Engineer information

See Schenectady, NY salary details

$29K

$67.1K

$114.2K

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 Schenectady, NY is $67,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $76,000.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Schenectady, NY? The most popular types of Machine Learning Engineer jobs in Schenectady, NY are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Schenectady, NY? For Entry Level Machine Learning Engineer jobs in Schenectady, NY, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Schenectady, NY look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Schenectady, NY are:
What cities near Schenectady, NY are hiring for Entry Level Machine Learning Engineer jobs? Cities near Schenectady, NY with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Schenectady, NY as of June 2026, with employment types broken down into 59% Full Time, 38% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $67,109 per year, or $32.3 per hour.

Quantitative Technologist (Full-Time - DevOps & Systems Engineering)

Radix Trading University Job Board

Amsterdam, NY

$50.50 - $69.25/hr

Other

Posted 10 days ago

Job description

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a DevOps Engineer your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. Our DevOps team is specifically responsible for ensuring efficacy of our trading machines and the translation of research to production. The ability to execute in a fast-paced environment is crucial for this team, as you'll be manipulating Linux on the fly, identifying errors and inefficiencies quickly and designing solutions to challenges with systems, networking, and general architecture on a daily basis. 
We leverage cutting-edge software and hardware to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data. 
We provide starter projects that we know will add value to the firm, while encouraging exploration and independent projects to improve inefficiencies, propose iterations, and own significant processes and tools within your first few months. 
COMPENSATION - Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
Qualifications
We're looking for highly analytical people who want to help build the research-driven trading firm of the future. And to do that, you'll need the following qualities:

  • Python; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
  • Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishments?
  • Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
  • Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
  • Mental Flexibility & Self Awareness - You'll have to frequently adapt based on new data, results, and feedback on your ideas and performance.
  • Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker's approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Software development skills to have or develop

  • Understanding of data structures, algorithmic complexities, and numerical algorithms
  • Systems Architecture - knowledge and experience with distributed systems, communication, and HPC systems 
  • Software Architecture - knowledge and experience working with a large code base
  • Development Processes - experience delivering and deploying software in production environments

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