Striveworks
Staff Machine Learning Engineer
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJul 14, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Staff Machine Learning Engineer
Requirements and responsibilities
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Your day-to-day will include:
- 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.
- Translating requirements into a technical approach, design, scoping estimate, and execution plan.
- Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.
- Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.).
- Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data.
- Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value.
- Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites.
Here’s what we’re looking for:
- Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience
- 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.)
- Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments
- Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments
- Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
- Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites
- 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
- Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
- Due to the nature of this role, candidates must have US citizenship
The Wish List
- Experience with Kubernetes (k8s) and horizontally scaled architectures
- Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar
- Experience building AI agents and workflows
- 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
- Experience delivering technology solutions in secure government environments
- Active Secret (or above) US security clearance
The Benefits
- Medical/dental/vision insurance
- Voluntary life, long-term disability, accident, and hospital indemnity insurance
- HSA and FSA (including dependent care FSA) plans
- 401(k) plan
- Unlimited PTO
- Paid parental leave
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