Senior Machine Learning Engineer, AI Generation Engine

sandboxaq
United States
Workplace: RemoteFull timeUSD 131,200 - 246,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Python","PyTorch","TensorFlow","JAX","NumPy","Pandas","CI/CD","Weighs & Biases","MLflow","Version control"]

Own the end-to-end ML lifecycle for SandboxAQ's AI Generation Engine (SAIGE): build data pipelines, develop and productionize ML models, and collaborate with researchers and software engineers to ship AI-first products using Large Quantitative Models (LQMs) and agentic frameworks at scale.

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FursaFursa
sandboxaq
sandboxaq
3 months ago

Senior Machine Learning Engineer, AI Generation Engine

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own the end-to-end ML lifecycle for SandboxAQ's AI Generation Engine (SAIGE): build data pipelines, develop and productionize ML models, and collaborate with researchers and software engineers to ship AI-first products using Large Quantitative Models (LQMs) and agentic frameworks at scale.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks
  • •Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives
  • •Contribute to the cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy
  • •Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for production efficiency, speed, and accuracy
  • •Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps

Pay and Benefits

Salary: USD 131,200 - 246,000 annually
Equity and Bonus:Equity
Perks:401kEquityPaid LeaveParental LeaveHome OfficeWellness StipendHealth InsuranceDentalVision

Key Requirements

  • •BS in Software Engineering, Computer Science, or equivalent field of study
  • •5+ years of postgraduate experience in software development
  • •Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines
  • •Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas)
  • •Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment
Experience:5+ yearsAIMLLQMsProduction ML systemsData pipelines
Education:Bachelor's
Skills:PythonPyTorchTensorFlowJAXNumPyPandasCI/CDWeighs & BiasesMLflowVersion control
Tech Stack:PythonPyTorchTensorFlowJAXNumPyPandasCI/CDWeights & BiasesMLflowMachine learningCloud

Company Brief

sandboxaq
Builds quantum-safe cybersecurity, quantum computing, and quantum-enabled AI solutions for enterprises and government. Develops software, cryptography, and platform integrations to accelerate adoption of quantum technologies and defend infrastructure against future quantum threats.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Cambridge, United States
Founded: 2021
WebsiteLinkedIn