Senior Software Engineer - Machine Learning / Data Science
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Overview
Schedule
Full-time
Education
Engineering (PE)
Career level
Senior-level
Remote
On-site
Compensation
$220,000-$240,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Job Description
Location: Laurel, MD (Onsite) Clearance: Active TS/SCI with Poly required Citizenship: U.S. Citizenship required Salary Range: $220,000-240,000
Position Overview
We are seeking a highly experienced Software Engineer 3 (SWE-3) to support mission-critical government programs in Laurel, MD. The ideal candidate will possess extensive experience in software engineering, machine learning, and data analytics within secure government environments. This role requires hands-on development expertise, advanced analytical skills, and the ability to support agency compliance and operational standards.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field plus 20 years of relevant experience
- Active TS/SCI clearance with Polygraph
- Ability to work on-site in Laurel, MD five days per week
Required Skills & Experience
- Experience with Java, Scala, and Python
- Experience with Lucene, JEXL, SQL, and JSON
- Experience developing in Linux operating environments
- Experience with Map/Reduce
- Experience with GM Learn
- Experience with Jupyter Notebooks
- Experience with IntelliJ and/or Eclipse
- Experience with Git/GitLab and/or Stash/Bitbucket
- Experience with Jira and Confluence
- Experience with Scikit-learn
- Experience building and monitoring Machine Learning models
- Experience with Random Forest algorithms and feature development
- Understanding of Agency compliance standards, policies, and authorities
- Experience working with Agency corporate systems
- Experience creating, reviewing, and maintaining technical documentation
Desired Skills & Experience
- Data Science background and analytical expertise
- Experience with AWS cloud technologies
- Experience implementing Machine Learning systems in production environments
- Experience with Apache Spark
- Experience performing Exploratory Data Analysis (EDA)
- Experience with Agentic AI technologies
- Experience working with Large Language Models (LLMs)
- Experience with Machine Learning feature engineering and development
- Familiarity with additional Machine Learning models and advanced analytical techniques
Preferred Attributes
- Strong problem-solving and analytical capabilities
- Ability to work independently and collaboratively within mission-focused teams
- Excellent written and verbal communication skills
- Experience supporting high-security government environments
Compensation & Benefits
- Competitive salary based on experience and qualifications
- Comprehensive benefits package
- Opportunity to support impactful national security missions
- 100% employer-paid Medical, Dental, and Vision coverage for employees and their families (CareFirst)
- 401(k) with employer match
- Generous Paid Time Off and paid holidays
- Annual bonus opportunities
- Employer-paid short-term and long-term disability insurance
- Employer-paid life insurance (150% of salary, up to $200K)
- Monthly stipend for cell phone and internet
- Additional employee perks and recognition programs
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.
Automate your job search with Sonara.
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FAQs About Senior Software Engineer - Machine Learning / Data Science Jobs at TalentOps
What is the work location for this position at TalentOps?
This job at TalentOps is located in Laurel, Maryland, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at TalentOps?
Candidates can expect a pay range of $220,000 and $240,000 per year.
What employment applies to this position at TalentOps?
TalentOps lists this role as a Full-time position.
What experience level is required for this role at TalentOps?
TalentOps is looking for a candidate with "Senior-level" experience level.
What education level is required for this job?
The education requirement for this position is Engineering (PE). Candidates with relevant qualifications or equivalent experience may also be considered.
What benefits are offered by TalentOps for this role?
TalentOps offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Disability Insurance, Life Insurance, Family/Dependent Health, Paid Holidays, Paid Vacation, 401k Matching/Retirement Savings, Home Office Reimbursement/Stipend, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at TalentOps?
You can apply for this role at TalentOps either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.