2 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: 16 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

Website LinkedIn

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sandboxaq

2 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: 16 hours agoStatus: Live

Job Summary

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

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Cambridge, United States

Founded: 2021

Website LinkedIn