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Entry Level Machine Learning Engineer Jobs in Syracuse, NY

SynergisticIT

Data (Entry Level)

Syracuse, NY · On-site

$16.75 - $22.50/hr

Machine Learning. Tools Used: SQL, Teradata, Tableau, R, Python, SAS start your career with a reputed organization like Google, Apple, eBay, Wal-Mart Labs, PayPal, Western Union, Cisco Systems, etc ...

Howard

Assistant Professor

Locke, NY

Conduct high-quality, externally visible research in applied mathematics, machine learning, and ... Demonstrated ability to collaborate with clinicians, biologists, or engineers to develop ...

Xylem

Hydroinformatics Engineer

Auburn, NY · On-site

... machine learning, and advanced control systems. A Hydroinformatics Engineer is a multidisciplinary engineer with optimization and hydraulic modeling skills and a passion for using data to improve ...

SRC, Inc

Engineering Intern (Fall 2026)

Syracuse, NY · On-site

$16.50 - $21.50/hr

Adapt to new technologies and languages including Docker, Kubernetes, Rust as program needs allow  Machine Intelligence Engineer:  * Develop machine learning algorithms and models to enhance ...

Allred & Associates

Be Seen First

CNC Operator (Entry Level)

Elbridge, NY · On-site

$20 - $23/hr

Set up and machining of various carbon fiber composite materials using programs. Read and interpret ... Prefer experience operating CNC routers, CNC programming, and reading and interpreting drawings ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Syracuse, NY

Entry Level Machine Learning Engineer information

See Syracuse, NY salary details

$29.6K

$68.5K

$116.6K

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

As of Jul 19, 2026, the average yearly pay for entry level machine learning engineer in Syracuse, NY is $68,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,900.00 and $77,600.00 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 Syracuse, NY? The most popular types of Machine Learning Engineer jobs in Syracuse, NY are:
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What cities near Syracuse, NY are hiring for Entry Level Machine Learning Engineer jobs? Cities near Syracuse, NY with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you

Machine Learning Engineer

Futran Tech Solutions Pvt. Ltd.

Syracuse, NY • On-site

Full-time

Posted 3 days ago

Job description

Title - Machine Learning Engineer
Location - Syracuse, NY (Onsite)
Visa - Any visa
JD:
• Designing predictive models for self-running artificial intelligence (AI) software.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data into useful information
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
Tools and frameworks:
• Advanced proficiency with Python, Java, and R code writing.
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.

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