Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Senior Software & AI Engineer
Abbott
Sylmar, CA
The Senior Software & AI Engineer position works onsite in Sylmar, California within Abbott's Cardiac Rhythm Management (CRM) business.
Added 1 min ago
Senior Software Engineer, Cloud Platform
Nvidia
Remote, United States
…provisioning to build a multi-tenant infrastructure. As a software engineer, you will work with other software engineers, product architects, and product managers as a collaborative team to…
Added 1 min ago
Senior AI Engineer
MiniMed
CA
MiniMed is building a lean, high-leverage AI & Data Science team. We are looking for a Senior AI Engineer who builds AI capabilities hands-on and sets the standard the rest of the team…
Added 1 min ago
Senior Development Quality Engineer
Abbott
Sylmar, CA
The Senior Development Quality Engineer assures new or modified products conform to quality standards and establishes compliance with the quality system. Responsible for maintaining a…
Added 1 min ago
Staff Engineer, YouTube Shorts Creation Editor, Android
Google
San Bruno, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 2 mins ago
Electrical Engineer, Amazon Leo Government, Amazon Leo Government
Amazon
Northridge, CA
The Electrical Engineer will focus on satellite and ground system design and analysis of electronic components, circuits, and sub-systems. They will be expected to execute a variety of…
Added 2 mins ago
Early Career R&D Mechanical Engineer - National Security Products Center, NM/CA, Onsite
Sandia National Laboratories
Livermore, CA
Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a…
Added 2 mins ago
Clinical Specialist CRM - Burbank / Sherman Oaks
Medtronic
Burbank, CA
Added 2 mins ago
IT Infrastructure Engineer VI, Security
Kaiser Permanente
Pleasanton, CA
The Chief Engineer provides technical leadership for CyberArk Privileged Access Management (PAM), enterprise identity security, and privileged account governance. The position supports the…
Added 2 mins ago
Chief Engineer - Aircraft Development
Kratos Defense & Security Solutions, Inc.
Roseville, CA
Kratos Defense & Security Solutions, Inc., is a leading defense technology company focused on unmanned systems, satellite communications, cyber security/warfare, microwave electronics,…
Added 2 mins ago
Mission Assurance Engineer, PMP - Millennium Space Systems
The Boeing Company
El Segundo, CA
Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to…
Added 2 mins ago
Sr Electrical Engineer, ALG, Amazon Leo Government
Amazon
NORTHRIDGE, CA · El Segundo, CA
The Sr Electrical Engineer will play a pivotal role in the team delivering innovative and fast-paced analysis and design solutions, focusing on satellite and ground system design and…
Added 2 mins ago
Staff Engineer 3
SLAC National Accelerator Laboratory
Menlo Park, CA
As an RF and Analog engineer, you will be part of the RF and Analog Systems department of the Instrumentation Division. Members of this department provide end-to-end electrical for the…
Added 2 mins ago
Senior Lead Software Engineer - Agentic AI SRE Platform
JPMorgan Chase
Palo Alto, CA
As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will lead the architecture and development of production-grade agentic AI and…
Added 2 mins ago
Senior Lead Software Engineer- AI/ML Training Infrastructure
JPMorgan Chase
Palo Alto, CA
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security…
Added 3 mins ago
Senior Engineering Manager, YouTube, Recommendations ML
Google
Mountain View, CA
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 3 mins ago
Senior Software Development Engineer in Test, Confidential Computing - SDET
Nvidia
Santa Clara, CA
We are looking for Senior Software Development Engineer in Test to join our Confidential Computing team for NVIDIA's Enterprise SWQA team. Are you passionate about new feature development,…
Added 3 mins ago
SDE II EC2 Nitro, EC2 Nitro
Amazon
Santa Clara, CA
The EC2 Nitro local storage team is seeking an experienced Software Development Engineer to build virtualized, hardware-accelerated solutions for EC2 disk instances at global scale. Our…
Added 3 mins ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Sacramento, CA
- $121,400 to $218,600 USD / year
…team owns the end-to-end model lifecyclefrom validation and security scanning through quantization, optimization, and monitoring. We ensure every model meets rigorous standards for quality,…
Added 3 mins ago
AT
Senior Software Engineer
Akamai Technologies, Inc.
Sacramento, CA
- $121,400 to $218,600 USD / year
Security : Neutralizing threats before they ever reach your data.
Added 3 mins ago
C
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Sacramento, CA
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 3 mins ago
C
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Sacramento, CA
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 3 mins ago
OT Security Platform Engineer – Dragos
Cognizant
Sacramento, CA
We are seeking an experienced OT Security Platform Engineer / Technical Lead to own and operate the Dragos security monitoring platform across a global manufacturing environment. This is a…
Added 3 mins ago
Senior Engineer - Landing Gear Shop Support
United Airlines
San Francisco, CA
Minimum of 5 years at an engineer level or similar role elsewhere in the industry
Added 3 mins ago
Software Dev Engineer I, Security Platform
Amazon
Irvine, CA · San Francisco, CA
This role is ideal for an engineer who learns quickly, values operational excellence, and wants to see their work directly improve Twitch's security posture.

SOS International LLC

Machine Learning Engineer - Mid

Huntsville, AL, United States

$79,679 to $165,488 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $79,679 to $165,488 USD / year
Experience: 3–5 years of relevant experience in machine learning engineering, software development, or applied data science.
Posting language: English
Posted: Nov 5, 2026

Original job description

Huntsville, AL, USA

Full-time

Clearance Requirement: Top Secret/SCI

Compensation: USD 79679 - USD 165488 - yearly

Company Description

Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.

Job Description

SOSi is seeking a Mid-Level Machine Learning Engineer to support the development, integration, and deployment of machine learning capabilities for a government customer in Huntsville, Alabama.

The selected candidate will contribute to an MLOps environment supporting national security missions and large-scale analytical workloads. The position focuses on transforming machine learning prototypes into reliable, maintainable, and production-ready capabilities.

The ideal candidate has practical experience developing machine learning models, writing production-quality Python, and integrating models into established software systems. Candidates should understand the full machine learning lifecycle, including data preparation, experimentation, evaluation, deployment, monitoring, and continuous improvement.

The engineer will work alongside data scientists, data engineers, and software developers in an Agile environment to deliver solutions aligned with mission requirements.

The team works with technologies including Python, PyTorch, scikit-learn, MLflow, PostgreSQL, Docker, Linux, GitLab, Jupyter Notebooks, and supporting MLOps infrastructure.

Essential Job Duties

Machine Learning Development

Develop, train, evaluate, and improve machine learning models for operational applications.
Apply supervised and unsupervised learning techniques to structured and unstructured datasets.
Perform feature engineering, data preprocessing, and dataset validation.
Select appropriate algorithms and evaluation metrics based on project requirements.
Conduct experiments, compare model performance, and document technical findings.
Identify and address model performance issues, including overfitting, data leakage, and prediction errors.

Production ML Engineering

Convert research prototypes and notebooks into maintainable Python modules and services.
Integrate trained models into existing applications, APIs, and processing workflows.
Package and deploy model inference services using containerized environments.
Implement consistent model loading, configuration management, and error handling.
Support model versioning, experiment tracking, and reproducible deployments.
Investigate and resolve model inference, integration, and performance issues.
Contribute to automated model validation and deployment workflows.

Software Development and Quality Assurance

Write clean, modular, testable, and maintainable Python code.
Develop unit tests for preprocessing, feature engineering, and model-related functionality.
Develop integration tests validating model interactions with dependent systems.
Implement smoke tests confirming deployed services operate as expected.
Participate in peer code reviews and address identified defects.
Use Git-based development workflows and established CI/CD practices.
Maintain technical documentation covering implementation, testing, and operational procedures.

Data Integration and MLOps

Collaborate with data engineers to establish reliable training and inference datasets.
Implement validation checks for dataset quality, schema consistency, and missing values.
Work with PostgreSQL and other approved data sources.
Use MLflow or comparable tools to manage experiments and model artifacts.
Support model registry workflows, version promotion, and rollback procedures.
Monitor model behavior, resource utilization, and inference performance.
Identify data drift, performance degradation, and operational anomalies.
Support reproducible model training and deployment processes.

Collaboration and Delivery

Complete assigned development tasks within agreed sprint objectives.
Communicate implementation progress, technical blockers, and delivery risks.
Provide realistic estimates for assigned engineering efforts.
Coordinate interface requirements with data engineering and software development teams.
Follow established architecture, coding, testing, and documentation standards.
Identify proposed scope changes before implementing unapproved functionality.
Participate in technical discussions, planning sessions, and code reviews.

Qualifications

Minimum Requirements

Active Top Secret clearance with SCI eligibility.
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related quantitative discipline.
3–5 years of relevant experience in machine learning engineering, software development, or applied data science.
Proficiency in Python and common machine learning libraries.
Practical experience training, evaluating, and deploying machine learning models.
Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
Experience using SQL and relational databases.
Working knowledge of Linux development environments and command-line tools.
Experience with Git, collaborative development, and pull request workflows.
Familiarity with Docker and containerized application deployment.
Understanding of automated testing, including unit and integration testing.
Knowledge of REST APIs and integration between software components.
Understanding of CI/CD principles and Agile development methodologies.
Ability to independently implement, troubleshoot, and deliver assigned engineering tasks.

Preferred Qualifications

Experience deploying and maintaining machine learning models in production.
Experience with MLflow or similar experiment tracking and model registry platforms.
Familiarity with Triton Inference Server or comparable inference serving platforms.
Experience developing computer vision, NLP, classification, or anomaly detection solutions.
Experience integrating machine learning models into ETL/ELT pipelines.
Familiarity with Apache Airflow or similar workflow orchestration tools.
Experience with PostgreSQL, large-scale datasets, or distributed processing.
Understanding of model monitoring, data drift, reproducibility, and rollback strategies.
Familiarity with GitLab CI/CD, automated validation, and container registries.
Experience developing solutions in restricted, offline, or on-premises computing environments.
Experience supporting DoD or Intelligence Community missions.
Exposure to high-performance computing and multi-INT analytical workloads.

Additional Information

Work Environment

Office-based position in Huntsville, Alabama.
Collaboration with multidisciplinary engineering and government stakeholder teams.
Work involving mission-sensitive data and secure computing environments.
Occasional remote work or travel may be available based on program requirements.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

SOSi is an equal employment opportunity employer and affirmative action employer. All interested individuals will receive consideration and will not be discriminated against on the basis of race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, genetic information, or protected veteran status. SOSi takes affirmative action in support of its policy to advance diversity and inclusion of individuals who are minorities, women, protected veterans, and individuals with disabilities.

Apply About employer

More about this job

Skills

Machine learning
Logistics
Python
Process improvement
Agile
PyTorch
Scikit-learn
Mlflow
PostgreSQL
Docker
Linux
GitLab
Jupyter
ML
Research
Software development
Quality assurance
Git
CI/CD
Documentation
Collaboration
Data engineering
Computer science
Statistics
TensorFlow
SQL
Test automation
API development
Agile development
Troubleshoot
Natural language processing
Apache Airflow
Workflow

Report this job