Senior Staff/Senior Machine Learning Engineer
SciTec
- Huntsville, AL
- Permanent
- Full-time
- 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
- 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
- Employee Stock Ownership Plan (ESOP)
- 3% Fully Vested Company 401K Contribution (no employee contribution required)
- 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