Machine Learning Engineer
Machine Learning Engineer (Austin, TX)
Elevator Pitch :
Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense / U.
S. Military. They enable their customers to extract actionable insight from their data at the point of collection and indefinitely in the future with the help of AI / Machine Learning.
The product they offer allows their clients to monitor, manage, integrate, visualize, export, and analyze their data to inform decisions and streamline business.
They are looking to double the team that they have currently of about 60 employees over the next year. They are a startup, and this is a very unique opportunity to join their team in their fastest growing stages.
Location : Austin, TX
Salary : 140K-190K
Bonus : annual and performance based
401K Match : n / a
Benefits : Equity - Owners have a history of another startup that turned to IPO in 5 years. The company offers a generous equity plan to be a stakeholder and participate in the company's success.
Position summary :
As a Machine Learning Engineer on the Striveworks Technical Engagements team, you'll be challenged - and trusted - on day one to be a core contributor to the projects and direction of the company.
You will be a key representative and solutions provider to sites and customers where Striveworks' proprietary data platform is deployed.
You will integrate and apply this platform, and rapidly prototype and deliver machine learning capabilities for customers.
You'll tackle real world problems as they unfold, utilizing your technical and communication skills to provide reliable and scalable solutions.
At times, you will be tasked with on-site travel to customer locations. At other times, you will be based in Striveworks' Austin, TX headquarters.
Requirements :
- Able and willing to travel domestically and internationally up to 10%
- B.S. Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience
- Excellence in Python
- Deep expertise in algorithms and data structures
- Exposure to DevOps tooling and best practices (Git, Docker, Kubernetes, CI / CD tools)
- Familiarity with relational and non-relational database design and architecture
- Familiarity with Javascript
Nice to haves :
- Experience with ETL / data pipelines
- Understanding of JavaScript frameworks (React, Vue, or Angular)
- Experience designing RESTful or GraphQL APIs
- Comfortable with Cloud Architecture
- Tensorflow / PyTorch experience
- Knowledge of messaging systems like Kafka, RabbitMQ, or similar
- GoLang / Flyte experience
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