Full-Time

Staff Machine Learning Engineer

Defense

Posted on 5/24/2024

Striveworks

Striveworks

51-200 employees

Facilitates rapid model development and deployment

AI & Machine Learning
Data & Analytics
Cybersecurity
Aerospace

Senior

Remote in USA

Required Skills
Python
Data Science
Tensorflow
Data Structures & Algorithms
Pytorch
Data Analysis
Requirements
  • Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience
  • Demonstrated experience scoping, leading, and delivering complex technical solutions in the National Security and Defense sectors
  • Proficiency in programming languages common to ML (Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn)
  • Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in various cloud architectures
  • Competence with software engineering tools and processes (estimation, project management, issue tracking, version control, CI/CD, debugging, etc.)
  • Competent communicator in written products, presentations, and verbal interactions
  • Able to communicate complex topics with professionalism, competence, and clarity, to customers’ technical and non-technical stakeholders
  • Active Top Secret security clearance
Responsibilities
  • Lead scoping, design, and execution of machine-learning projects for government clients; participate in requirements extraction.
  • Guide the development of machine-learning models and custom analytics applied to image, video, text, geospatial, time-series, and tabular data.
  • Develop group-level practice improvements and reusable code that accelerates time-to-value in future efforts.
  • Orchestrate and automate complex data pipelines and analytics algorithms within modern architectures (cloud deployment, event-driven, microservices, etc.).
  • Manage small execution teams’ work toward on-time completion of project deliverables.
  • Conduct mission-critical fieldwork.

Striveworks excels as a workplace due to its commitment to facilitating rapid model development and deployment while ensuring robust governance in highly regulated industries. This platform's emphasis on data and model auditability, coupled with a low-code interface, allows employees to foster innovation responsibly. Moreover, its lineage system ensures thorough oversight, making it a leader in its field and providing its team with continual learning and growth opportunities.

Company Stage

Seed

Total Funding

$38M

Headquarters

Austin, Texas

Founded

2018

Growth & Insights
Headcount

6 month growth

4%

1 year growth

26%

2 year growth

50%