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What You’ll Do
As the MLOps Science Engineer you will directly impact Slingshot’s vision; to accelerate space sustainability to create a safer and more connected world. In your new role you will design, develop, and implement feature architectures, data systems, and processes to facilitate team effectiveness and improve data science products.
Position Responsibilities
- Collaborate with the MLOps Lead and data scientists to identify systems and processes likely to deliver effective features to modeling pipelines
- Build the infrastructure upon which the Science team develops and deploys models.
- Work with members of the Science team to identify how to deliver models into our production infrastructure.
- Implementing ETL processes for a broad range of data types.
- Participate in a strong matrixed science team and culture and work directly with engineering partners to facilitate the flow, integrity, and utility of data science products.
- Execute all position responsibilities in alignment with Slingshot’s core values, mission, and purpose
Pre-Requisites
- Must be eligible to obtain or maintain US Government Security Clearance
Requirements
- 2+ years in ML Operations, FMOps, data science deployment, or relevant experience which may include demonstrated experience designing and implementing databases, data systems, feature stores, and modeling pipelines in a data science team environment.
- Bachelor's degree in computer science, engineering, mathematics, data science, physics, or other related disciplines.
- Proficiency in a formal programming language (e.g. Julia, Python, java/kotlin, C/C++).
- Ability to identify creative data and feature solutions for challenging projects.
- Experience working with teams and groups of data scientists, engineers, or computer scientists.
- Demonstrated ability to develop and deploy a host of data and data science services in the AWS cloud using Terraform or similar.
- Familiarity with software development lifecycle and CI/CD processes
- Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners.
- Excellent verbal and written communications skills.
- Experience with distributed computing frameworks such as Ray, Spark, or Dask
- Previous experience with machine learning, AI, and data science processes.
Preferred Skills
- Experience with aerospace and astrodynamics datasets.
- Interest in working at a startup organization with a broad set of opportunities and challenges.
- History with, and understanding of data science approaches and opportunities.
- Experience developing, implementing, and transitioning sophisticated technology to production.
*These skills are guidelines, not hard and fast rules. You don’t have to meet every qualification listed- if your skills are transferable and you meet the minimum requirements, we encourage you to apply.
Location: Remote, United States
Pay Range: $95,000-$145,000
Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and we embrace individuality.
Top Skills
What We Do
Slingshot Aerospace builds world-class space simulation and analytics solutions. We are driven by our vision of accelerating space sustainability to create a safer, more connected world.
Space is increasingly complex due to the exponential growth of global launch activity, the proliferation of new data sources, and the ever-growing body of new satellites and debris. Organizations are making mission-critical decisions in this high-risk environment and they need the right information at the right time. Slingshot Aerospace empowers government and commercial space organizations to better design, manage, and safeguard their assets, as well as mitigate risks, to ensure safe and reliable operations for all space-faring users.
We are achieving this by bringing the space domain into the digital environment and fusing together data from different sources to provide a full, dynamic orbital picture. In doing so, Slingshot Aerospace customers can make decisions at the speed of relevance and achieve clarity in complex environments.
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