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Junior Machine Learning Engineer New Grad Jobs (NOW HIRING)

ENSCO, Inc.

Junior Machine Learning Engineer

Melbourne, FL · On-site

$65K - $106K/yr

Position Description ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

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Machine Learning Engineer

San Francisco, CA · On-site

$151K - $178K/yr

As a Machine Learning Engineer you care about the health and maintainability of our systems and the ... New Grad to 1 year of experience. * You must be work-authorized in the United States without the ...

Quantcast

Machine Learning Engineer

San Francisco, CA · On-site

$151K - $178K/yr

As a Machine Learning Engineer you care about the health and maintainability of our systems and the ... New Grad to 1 year of experience. * You must be work-authorized in the United States without the ...

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As of Jun 29, 2026, the average yearly pay for junior machine learning engineer new grad in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.
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Junior Machine Learning Engineer

Junior Machine Learning Engineer

ENSCO, Inc.

Melbourne, FL

Other

Posted 7 days ago

Job description

ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
        Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
        Minimum of 2 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        A self-starter with excellent oral and written communication skills.
        Experience navigating and programming within the Linux environment.
        Experience working with structured and unstructured databases.
        Advanced proficiency with data science languages (e.g. Python, Matlab,)
        Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
        Experience working with large data sets and ability to extract relevant information from data sets.
        The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen
 

Qualifications Desired:
        Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
        Experience with ML/DL algorithms extracting signal from noise.
        Past experience being able to develop solutions using disparate data sets through ML techniques.
        DevOps experience involving CI/CD pipelines to build and deploy.
        Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
        An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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