Role Description
As a Staff Machine Learning Engineer at Striveworks, you will be challenged—and trusted—on day one to be both a core contributor and a customer-facing technical leader on the projects and direction of the company. In this mission-critical work, you will design AI-powered solutions, you will bring them into being—from data shaping and ingestion, through analytics, to end-user delivery—and you will inform future platform capabilities.
Your day-to-day will include:
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Working with customers, engineers, and other stakeholders to define clear requirements that solve the customers’ problems and leverage the capabilities of our AI operations platform.
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Translating requirements into a technical approach, design, scoping estimate, and execution plan.
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Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.
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Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.).
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Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data.
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Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value.
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Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites.
This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time.
Qualifications
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Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience.
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Broad proficiency in programming languages common to machine learning (excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn) and systems programming (e.g., Go, Rust, C++, Java, Scala, etc.).
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Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments.
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Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments.
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Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.).
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Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites.
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Ability to communicate complex topics with professionalism, competence, and clarity to internal and external stakeholders (both technical and non-technical) via documents, presentations, and conversations.
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Active Secret (or above) US security clearance.
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Due to the nature of this role, candidates must have US citizenship.
Requirements
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Experience with Kubernetes (k8s) and horizontally scaled architectures.
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Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar.
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Experience building AI agents and workflows.
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Experience with complex and varied data types, such as multi-spectral imagery, full motion video, acoustic or sonar signals, synthetic aperture radar, or hardware telemetry.
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Experience delivering technology solutions in secure government environments.
Benefits
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Medical/dental/vision insurance.
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Voluntary life, long-term disability, accident, and hospital indemnity insurance.
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HSA and FSA (including dependent care FSA) plans.
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401(k) plan.
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Unlimited PTO.
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Paid parental leave.
