Offer summary

Qualifications:

Master's Degree or higher in Computer Science or related field., At least five years of experience in Artificial Intelligence, especially for autonomous vehicles., Proficiency in Python, Go, and SQL for data solution development., Experience with Big Data technologies, data pipelines, and machine learning infrastructure..

Key responsibilities:

Lead strategy for cross-functional AI projects, including data collection and processing.

Develop and productionalize AI data pipelines and models, ensuring scalability and reliability.

Collaborate with machine learning, robotics, and onboard teams to meet data requirements.

Set engineering standards and work with management to balance delivery speed and quality.

Job description

About Stack:

Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stacks autonomous technology incorporates cuttingedge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industrys unique demands.

About the Role:

Leading strategy for cross functional AI projects such as scaling vector databases, Leading strategy for data collection efforts such as voice to text annotations for AI projects, Leading strategy for data processing engines for AI projects, Software development in
Python, Pytorch, Rest, Kubernetes, Airflow, and Flyte, Productionalize our Vision Language Model data pipelines by building robust, fault tolerant and safe AI solutions. Design and oversee the architecture of the data platform, ensuring scalability, reliability, and performance for machine learning needs. Collaborate with crossfunctional machine learning, robotics and onboard teams to understand data requirements and design appropriate solutions. Identify and resolve performance bottlenecks in data processing and storage for our computer vision machine learning pipelines. Set a culture of engineering excellence within the team and work closely with the management and customer teams to balance between speed of delivery and quality of engineering artifacts. Domestic travel required, 25%. Telecommuting permissible from any location within the US.

Requirements:

Master’s Degree or higher or foreign degree equivalent in Computer Science or related field and five (5) years of experience in Computer science, specifically in Artificial Intelligence for autonomous vehicles or related role or in the job offered.

Skills:

Experience andor education must include...

Development skills with Python, Go and SQL to build data solutions for machine
learning platforms

Big Data technologies, data warehouses, data lakes, and orchestration services

Hands on experience implementing data pipeline infrastructure for data ingestion and transformation near real time availability of data for applications, BI analytics, and ML pipelines.

Experience designing optimized solutions for large AIML datasets for computer vision training needs.

Data Lake technologies, data storage formats Parquet or Iceberg and Trino query engines and associated concepts for building optimized solutions at scale.

Experience in designing data streaming and eventbased data solutions such as Kafka, Kinesis, or SQSSNS

Experience with data pipelines tools Flink or Spark and orchestration tools Airflow or Flyte and data transformation tools SQLMesh or DBT.

Salary: $185,400 $296,640year; 40 hoursweek
Location: 1001 Technology Drive, Mount Pleasant, PA 15666. Telecommuting permissible from any location within US.

Contact: Please reference Job ID:8655290
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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national securityrelated requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, andor citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, andor citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national securityrelated restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.