Senior Staff/Senior Machine Learning Engineer

SciTec has been awarded multiple government contracts and is growing our creative Team! SciTec, Inc. is a dynamic small business with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense. We support customers throughout the Department of Defense and U.S. Government in building innovative new tools to deliver unique world-class data exploitation capabilities.

Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.

We are seeking an experienced Machine Learning Engineer to join and help shape our new MLOps team. This role focuses on designing, developing and optimizing machine learning models for R&D software development and the transition into operational environments.

As part of the Future Systems team, you will have the opportunity to establish machine learning best practices and develop solutions to complex real-world problems across a variety of agencies.

Responsibilities

• Employ and evaluate high-performing ML models in simulation environments
• Work collaboratively to design and develop ML approaches using cutting edge algorithms
• Develop modular and flexible ML pipelines that ensure accuracy and reliability
• Work with cross-functional teams, including Software Developers, Analysts, and DevOps, to integrate and enhance ML systems
• Define touchpoints and handoffs with DevOps and Analysts to ensure seamless integration of ML workflows with existing infrastructure and data pipelines
• Ensure developed pipelines and containers adhere to cybersecurity best practices including monitoring and logging
• Mentor junior team members and contribute to building a collaborative and innovative team culture
• Other duties as assigned

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related technical field
• 5+ years developing ML solutions
• Expertise in architecting Python applications for large-scale systems, mentoring junior engineers in Python best practices, and optimizing code for high performance
• Familiarity with theoretical understanding of deep learning approaches, decision models, etc.
• Advanced expertise in designing and optimizing ML workflows
• Advanced expertise in designing workflows using MLflow, PyTorch or Tensorflow to streamline experimentation and production deployments
• Strong problem-solving and analytical skills
• Excellent communication and collaboration capabilities
• Ability to thrive in a dynamic, fast-paced environment
• Demonstrated attention to detail

Preferred Qualifications

• Familiarity with C++ and/or Rust
• Experience with distributed data processing frameworks such as PySpark
• Experience with agentic learning models
• Experience using MLOps frameworks and components (e.g. DVC, Horovod, Spark, ONNX, Parquet)
• Familiarity with SQL and modern database technologies (e.g., MinIO, Yugabyte)
• Understanding of secure software development practices and/or experience working in classified environments
• Ability to build and manage scalable infrastructure using Kubernetes, Docker, and related tools

• Relevant certifications

SciTec offers a highly competitive salary and benefits package, including:

• 4% Safe Harbor 401(k) match
• 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
• 80% company paid Dental insurance
• 100% company paid Vision insurance
• 100% company paid Life insurance
• 100% company paid Long-term Disability insurance
• Short-term Disability insurance
• Annual Profit-Sharing Plan
• Discretionary Performance Bonus
• Paid Parental Leave
• Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
• Flexible Work Hours

The pay range for this position is $107,000- $156,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.

SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

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