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Staff Machine Learning Engineer, AI Generation Engine

@ SandboxAQ

Télétravail au Canada

172k–258k $/anTélétravailTemps plein8+ ans d’expérience
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En bref

SandboxAQ is hiring a Staff Machine Learning Engineer for its AI Generation Engine (SAIGE) team to own the end-to-end ML lifecycle, from data curation and model development to production deployment of AI-first products built on Large Quantitative Models and agentic frameworks. The role is full-time, requires 8+ years of postgraduate software development experience, and offers competitive base salary, equity, benefits and flexible work arrangements.

Salaire :

172 000 $–258 000 $ par année

Responsabilités :

  • Design and manage data pipelines for training and retraining Large Quantitative Models
  • Develop, implement and test novel ML models and algorithms
  • Lead feature engineering and data cleaning on large-scale datasets
  • Analyze model behavior, failure modes and tune hyperparameters for production

Résumé des exigences :

  • BS in Software Engineering, Computer Science or equivalent
  • 8+ years of postgraduate software development experience
  • Experience building scalable, high-availability ML systems
  • Strong Python with PyTorch, TensorFlow, JAX, NumPy and Pandas
  • Full ML lifecycle experience through to production deployment
  • MLOps practice including CI/CD, experiment tracking and version control

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesSoins de la vueRégime de retraiteCongés payésCongé parental
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-05-27
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-10-09

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience8 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré)
Domaines d’étudesSoftware Engineering, Computer Science
Avantages mentionnésCongés payés généreux, Horaire flexible, Congé parental généreux, Régime de retraite, Prime de rendement, Actions ou participation

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

SandboxAQ

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

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

Description complète de l’entreprise

In the tech and data intelligence worlds, a sandbox is where innovation is born. It’s a place where the brightest free-thinking minds from across disciplines come together to reimagine what’s possible. A collaborative environment where the whole is infinitely greater than the sum of the parts. At SandboxAQ, this forward-looking vision is core to everything we do. It’s how we became who we are and it’s how we know our solutions can shift the way your business competes in tomorrow’s marketplace. As the world enters the third quantum revolution, AI + Quantum software will address significant business and scientific challenges. ‍ SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) deliver critical advances in life sciences, financial services, navigation, cyber and other sectors. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors including T. Rowe Price, Eric Schmidt, Breyer Capital, Guggenheim Partners, Marc Benioff, Thomas Tull, Paladin Capital Group, and others.

Abonnés LinkedIn
52 986
Personnes associées sur LinkedIn
347
Bureaux déclarés
  • Palo Alto, CA, US
  • New York, NY, US
  • Arlington, VA, US
Catégories d’activité
  • Information Technology
  • Cyber Security
  • Artificial Intelligence
  • SaaS
  • Quantum Computing
  • Artificial Intelligence (AI)
Autres noms enregistrés
  • SandboxAQ
Spécialités
  • AI
  • Quantum Physics
  • Quantum Technology
  • Cryptography
  • Cybersecurity
  • Navigation
  • Life Sciences
  • National Security
  • Financial Services
  • Quantum Sensing
  • Quantum Simulation & Optimization
  • Pharmaceuticals
  • Telecommunications
  • Public Sector
  • and SaaS
Le profil indique une agence de recrutement
Non
Investissement total déclaré
975 000 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

In the tech and data intelligence worlds, a sandbox is where innovation is born. It’s a place where the brightest free-thinking minds from across disciplines come together to reimagine what’s possible. A collaborative environment where the whole is infinitely greater than the sum of the parts. At SandboxAQ, this forward-looking vision is core to everything we do. It’s how we became who we are and it’s how we know…

ChampValeur
SecteurSoftware Development
Taille51-200 employees
Siège socialPalo Alto, CA
Type d’organisationPrivately Held
Fondée en2021
SpécialitésAIQuantum PhysicsQuantum TechnologyCryptographyCybersecurityNavigationLife SciencesNational SecurityFinancial ServicesQuantum Sensing
Offres sur Jobsy6
LinkedInVoir la page
Description

About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.


The Opportunity

The AI Generation Engine (SAIGE) team is responsible for rapidly designing, prototyping, and validating AI-first SaaS products that leverage SandboxAQ’s Large Quantitative Models (LQMs) and emerging agentic frameworks. The team operates at high velocity, bridging cutting-edge AI research and production-grade software to unlock new use cases across the company.

SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks.

We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs.

As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.

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.

  • Lead the effort 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

  • Drive technical execution with high autonomy, making critical design and implementation decisions independently

Essential Skills & Experience

  • BS in Software Engineering, Computer Science, or equivalent field of study

  • 8+ 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.

Highly Desired Skills & Experience

  • MS or PhD in Software Engineering, Computer Science or equivalent experience

  • Financial simulation or technical experience, risk simulation

  • Equivalent experience includes tech leadership in a complex space, driving technical design and execution cross-collaboratively across multiple teams and organizations

  • Experience with scalable software development on cloud computing platforms (e.g., GCP, AWS)

Why Join Us?

We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.

  • Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

  • Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.

  • Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

  • Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ Welcomes All

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

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