{
  "job_id": "QgcZm8e9pWWnqL2DAAAAAA==",
  "job_city": "Sealston",
  "job_state": "Virginia",
  "job_title": "Artificial Intelligence and Machine Learning Engineer. Job in Sealston Move Collective Jobs",
  "job_salary": null,
  "job_country": "US",
  "job_benefits": null,
  "job_latitude": 38.2615173,
  "job_location": "Sealston, VA, United States",
  "job_onet_soc": "15111100",
  "apply_options": [
    {
      "is_direct": false,
      "publisher": "Move Collective Jobs",
      "apply_link": "https://jobs.movecollective.uk/jobs/artificial-intelligence-and-machine-learning-engineer-sealston-virginia/2678479325-2/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    }
  ],
  "employer_logo": null,
  "employer_name": "SimVentions, Inc - Glassdoor ? 4.6",
  "job_is_remote": false,
  "job_longitude": -77.3319259,
  "job_posted_at": "7 days ago",
  "job_publisher": "Move Collective Jobs",
  "job_apply_link": "https://jobs.movecollective.uk/jobs/artificial-intelligence-and-machine-learning-engineer-sealston-virginia/2678479325-2/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "job_highlights": {
    "Benefits": [
      "Compensation: At SimVentions, compensation is determined by various factors, including experience, education, training, security clearance, work location, and alignment with our corporate compensation plan",
      "The projected annual compensation range for this position is $100,000 - $135,000 (USD) and reflects a standard salary range along with benefits",
      "Benefits: We offer comprehensive health and welfare plans tailored to various needs, including:",
      "Medical, dental, vision, and prescription drug coverage",
      "Employee Stock Ownership Plan (ESOP)",
      "Competitive 401(k) programs",
      "Retirement and Financial Counselors",
      "Health Savings and Health Reimbursement Accounts",
      "Flexible Spending Accounts",
      "Life insurance, short- & long-term disability benefits",
      "Continuing Education Assistance",
      "Paid Time Off, Paid Holidays, and Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military)",
      "Employee Assistance Program offering counseling and wellness services",
      "Supplemental Benefit Program",
      "Employee Ownership: Build a brighter future with us!",
      "Family Focus: Balance your work and family life",
      "Culture of Excellence: Contribute to a culture that values technical proficiency and teamwork",
      "Casual Dress Code: Business casual attire for comfort while working",
      "Excellent Resources: Access to top-notch facilities, tools, and training opportunities",
      "Open Communication: Share your ideas and be heard",
      "Corporate Fellowship: Work with teammates through sports and interest groups",
      "Employee Appreciation: Participate in enjoyable corporate events throughout the year",
      "Exciting Opportunities: Access to tickets for local sporting events from our private suite",
      "Great Food: Enjoy plenty of food at our events!"
    ],
    "Qualifications": [
      "Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information",
      "US Citizenship is required to obtain a clearance",
      "Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field",
      "7-10 years of software development experience",
      "3+ years of practical experience applying machine learning techniques in real-world scenarios",
      "Strong programming skills in Python",
      "Experience with developing data preprocessing pipelines and machine learning workflows",
      "Familiarity with time-series, telemetry, or event-based datasets",
      "Hands-on experience implementing anomaly detection or pattern recognition techniques",
      "Proven ability to deploy machine learning models in production environments",
      "Capable of thriving in collaborative engineering settings",
      "Currently holds a Secret clearance",
      "Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field"
    ],
    "Responsibilities": [
      "In this role, you'll leverage machine learning techniques—including anomaly detection, pattern recognition, and event analysis—to extract valuable insights from large-scale operational datasets",
      "You’ll have the opportunity to take machine learning solutions from concept and experimentation into prototype development and operational integration",
      "As an ideal candidate, you are a hands-on builder excited to collaborate with software engineers, system analysts, and subject matter experts to create intelligent tools that bolster data analysis, system evaluation, and decision-making in mission-focused environments",
      "Travel: Local travel to NSWCDD for integration events",
      "Clearance: An ACTIVE Secret Clearance is required for this position",
      "Explore the integration of machine learning and artificial intelligence into existing software microservices",
      "Design and develop machine learning models for anomaly detection, pattern recognition, and analytical insights",
      "Utilize supervised and unsupervised learning methods to dissect complex system and event data",
      "Craft algorithms aimed at identifying trends, correlations, and patterns within sizable datasets",
      "Establish and maintain data processing pipelines to facilitate machine learning workflows",
      "Incorporate machine learning capabilities into production software systems and analytical tools",
      "Develop model architectures that adapt to changing data formats and system capabilities",
      "Collaborate with engineering and system teams for integration, testing, and evaluation of new features",
      "Optimize the performance of machine learning software components in specialized computing environments",
      "Participate in testing and evaluation to validate system performance and user experience",
      "Document algorithms, models, and system behavior for operational use and future development",
      "Create deployable software prototypes that showcase machine learning capabilities in realistic testing scenarios",
      "Conduct user evaluation and testing to confirm model performance and usability",
      "Incorporate feedback from analysts and users to refine models and workflows",
      "Assist in integrating AI/ML capabilities into broader software and system architectures",
      "Contribute to the documentation and technical artifacts that enable prototypes to transition into operational usage"
    ]
  },
  "job_max_salary": null,
  "job_min_salary": null,
  "job_description": "Overview: SimVentions is excited to welcome a skilled Artificial Intelligence/Machine Learning Software Engineer to our innovative team. We are looking for someone to design and implement next-generation analytics capabilities for intricate data environments.\n\nIn this role, you'll leverage machine learning techniques—including anomaly detection, pattern recognition, and event analysis—to extract valuable insights from large-scale operational datasets. You’ll have the opportunity to take machine learning solutions from concept and experimentation into prototype development and operational integration.\n\nAs an ideal candidate, you are a hands-on builder excited to collaborate with software engineers, system analysts, and subject matter experts to create intelligent tools that bolster data analysis, system evaluation, and decision-making in mission-focused environments.\n\nTravel: Local travel to NSWCDD for integration events.\n\nClearance: An ACTIVE Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance.\n\nRequirements:\n• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field.\n• 7-10 years of software development experience.\n• 3+ years of practical experience applying machine learning techniques in real-world scenarios.\n• Strong programming skills in Python.\n• Experience with developing data preprocessing pipelines and machine learning workflows.\n• Familiarity with time-series, telemetry, or event-based datasets.\n• Hands-on experience implementing anomaly detection or pattern recognition techniques.\n• Proven ability to deploy machine learning models in production environments.\n• Capable of thriving in collaborative engineering settings.\n• Currently holds a Secret clearance.\n\nResponsibilities:\n• Explore the integration of machine learning and artificial intelligence into existing software microservices.\n• Design and develop machine learning models for anomaly detection, pattern recognition, and analytical insights.\n• Utilize supervised and unsupervised learning methods to dissect complex system and event data.\n• Craft algorithms aimed at identifying trends, correlations, and patterns within sizable datasets.\n• Establish and maintain data processing pipelines to facilitate machine learning workflows.\n• Incorporate machine learning capabilities into production software systems and analytical tools.\n• Develop model architectures that adapt to changing data formats and system capabilities.\n• Collaborate with engineering and system teams for integration, testing, and evaluation of new features.\n• Optimize the performance of machine learning software components in specialized computing environments.\n• Participate in testing and evaluation to validate system performance and user experience.\n• Document algorithms, models, and system behavior for operational use and future development.\n\nPrototype Development & Integration Responsibilities:\n• Create deployable software prototypes that showcase machine learning capabilities in realistic testing scenarios.\n• Conduct user evaluation and testing to confirm model performance and usability.\n• Incorporate feedback from analysts and users to refine models and workflows.\n• Assist in integrating AI/ML capabilities into broader software and system architectures.\n• Contribute to the documentation and technical artifacts that enable prototypes to transition into operational usage.\n\nPreferred Skills and Experience:\n• Experience with complex sensor, telemetry, or system event data, particularly in Electronic Warfare.\n• Familiarity with sequence modeling, graph analytics, or time-series analysis.\n• Experience in developing interpretable machine learning models.\n• Proficiency in integrating machine learning capabilities into existing systems.\n• Background in testing, evaluation, or operational demonstration of advanced software capabilities.\n• Experience operating within government, defense, or regulated development environments.\n\nEducation: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field.\n\nCompensation: At SimVentions, compensation is determined by various factors, including experience, education, training, security clearance, work location, and alignment with our corporate compensation plan. The projected annual compensation range for this position is $100,000 - $135,000 (USD) and reflects a standard salary range along with benefits.\n\nBenefits: We offer comprehensive health and welfare plans tailored to various needs, including:\n• Medical, dental, vision, and prescription drug coverage.\n• Employee Stock Ownership Plan (ESOP).\n• Competitive 401(k) programs.\n• Retirement and Financial Counselors.\n• Health Savings and Health Reimbursement Accounts.\n• Flexible Spending Accounts.\n• Life insurance, short- & long-term disability benefits.\n• Continuing Education Assistance.\n• Paid Time Off, Paid Holidays, and Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military).\n• Employee Assistance Program offering counseling and wellness services.\n• Supplemental Benefit Program.\n\nWhy Work for SimVentions?\n\nAt SimVentions, we’re a community of growth-oriented, technically exceptional experts in a fun and collaborative environment. Join us in supporting our armed forces, driving customer success, engaging in service initiatives, and creating meaningful technological solutions that make a difference.\n\nAs an employee at SimVentions, you will enjoy perks like:\n• Employee Ownership: Build a brighter future with us!\n• Family Focus: Balance your work and family life.\n• Culture of Excellence: Contribute to a culture that values technical proficiency and teamwork.\n• Casual Dress Code: Business casual attire for comfort while working.\n• Excellent Resources: Access to top-notch facilities, tools, and training opportunities.\n• Open Communication: Share your ideas and be heard.\n• Corporate Fellowship: Work with teammates through sports and interest groups.\n• Employee Appreciation: Participate in enjoyable corporate events throughout the year.\n• Exciting Opportunities: Access to tickets for local sporting events from our private suite.\n• Great Food: Enjoy plenty of food at our events!\n\nJoin SimVentions today and be part of our mission!",
  "job_google_link": "https://www.google.com/search?ibp=htl;jobs&q&htidocid=QgcZm8e9pWWnqL2DAAAAAA%3D%3D&hl=en-GB&shndl=37&shmd=H4sIAAAAAAAA_01OMUoEQRDE9J5gVLGssyJqoIEsIofiRYuXHnOz7WzLXPcy3ciF_sEf-ghjx8ykqKKqqFr9nKx8qM5vnDgWPIlTKZxJEiHKhE1MMwvhhWIVloxHyU1TDXjWPVgwUizmKtjoB-FBS6Hk3GjzDd-fX3hvQWv9NKPF1qq50Ond7L7Ybd-blZDNo3MKSQ-9Cu312LeS_cHO5lhpKdFpd3l9cQyL5LNh5MOWxFnFunY64RzrEs0m1Yp7XIWb_9c6bIcOr8JOE8Y2RfYLcLcS8PkAAAA&shmds=v1_ATWGeeMxSFbr2ajbXiHMt1Ehi_dPw2Cl1dwkAw6pxWopFRJ0Rw&source=sh/x/job/li/m1/1#fpstate=tldetail&htivrt=jobs&htiq&htidocid=QgcZm8e9pWWnqL2DAAAAAA%3D%3D",
  "employer_website": null,
  "job_onet_job_zone": "5",
  "job_salary_period": null,
  "job_apply_is_direct": false,
  "job_employment_type": "Full–time",
  "job_employment_types": [
    "FULLTIME"
  ],
  "job_posted_at_timestamp": 1774051200,
  "job_posted_at_datetime_utc": "2026-03-21T00:00:00.000Z"
}