Unity 3D Engineer, Senior

Das ist der Job

Unity 3D Engineer, Senior Are you excited at the prospect of unlocking the secrets held by a data set?

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Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr Are you fascinated by the possibilities presented by the IoT, machine learning (ML), and artificial intelligence (AI) advances?

In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges.

Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve the government’s advanced analytics capabilities.

You’ll work closely with your client to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle.

You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.

You’ll provide your client with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in bringing decision support and innovation to our clients.

You Have: 4+ years of experience working in 3D game engine development in Unity, software engineering, data science, or ML engineering in a professional or academic environment Experience with C# coding and building custom game engine logic workflows in Unity 3D Experience deploying Unity 3D into a production cloud or on-premises environment Ability to leverage geospatial libraries for advanced mapping and location-based features within Unity Ability to implement connection with various external services and ensure seamless interaction within the Unity application Ability to obtain a Secret clearance Bachelor’s degree Nice If You Have: 2+ years of experience with developing ML models, including supervised, unsupervised, or reinforcement learning Experience with containerization, including Docker or Kubernetes Experience with MLOps, GitOps, and string programming in Python or Java Experience with designing, developing, deploying, and testing in AWS and using tools, including Lambda, API Gateway, or S3 Experience with distributed computing frameworks, including Spark, RAPIDS, Ray, or Polars Experience with data engineering tools, including Databricks, Spark, Elasticsearch, Airflow, or a data warehouse Experience with Cloud services, including Azure or Google Cloud Possession of excellent oral and written communication skills Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role.

You may also be required to work from or visit a customer facility. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.