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SandboxAQ

Leveraging AQ - the powerful compound effects of AI + Quantum technology

Senior Machine Learning Engineer, AI Generation Engine

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 51-200Since 2021H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

5 days ago

Salary

$131.2K - $246K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishNumpyPandasPythonPyTorchTensorflow

Job Description

Senior Machine Learning Engineer, AI Generation Engine

SandboxAQ

• 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 efforts in 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 efficiency, speed, and accuracy in a production context. • Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps. • Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment.

Job 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.
  • Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (e.g., Weights & Biases, MLflow), automated testing, and version control for both code and datasets.

Benefits

  • Competitive salary, equity and annual bonus
  • 401k matching at 50% up to IRS maximum contribution
  • Unlimited PTO plus a summer and winter break (one week each)
  • Twelve weeks of fully paid parental leave in the US, with another 8 weeks for birthing parents
  • $750 equipment, software, and office furniture budget
  • $100 per month for wellness (physical or mental) and $100 for home office bills
  • Top-notch medical, dental and vision insurance for you and your dependents with all premiums covered at 95% for employees
  • Family Planning support (fertility, surrogacy, adoption) through Carrot

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