{"id":27868,"url":"https://alion.io/job/sandboxaq-senior-machine-learning-engineer-ai-generation-engine","title":"Senior Machine Learning Engineer, AI Generation Engine","company":{"id":7529,"name":"SandboxAQ","domain":"sandboxaq.com","url":"https://alion.io/company/sandboxaq","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":{"min":119000,"max":210000,"currency":"CAD","period":"year","gross":null,"usd_annual":147373},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Braintrust","optional":false},{"name":"CI/CD","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Weights & Biases","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-05-27T16:55:40Z","employer_posted_date":"2026-05-27","last_verified_at":"2026-10-19T23:47:44Z","board_verified":true,"closed_at":null,"days_open":145,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":145},"description":"About SandboxAQ\nSandboxAQ 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.\nWe 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.\nAt 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.\nThe Opportunity\nSandboxAQ'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.\nWe 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.\nAs 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.\nKey Responsibilities\nDesign, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks.\n\nDevelop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives.\n\nContribute to the efforts in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy.\n\nConduct 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.\n\nCollaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps.\n\nChampion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment.\n\nEssential Skills & Experience\nBS in Software Engineering, Computer Science, or equivalent field of study\n\n5+ years of postgraduate experience in software development\n\nExperience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines.\n\nStrong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas)\n\nLong, successful history of driving the full ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment.\n\nDeep 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.\n\nHighly Desired Skills & Experience\nMS or PhD in Software Engineering, Computer Science or equivalent experience\n\nFinancial simulation or technical experience, risk simulation\n\nEquivalent experience includes tech leadership in a complex space, driving technical design and execution cross-collaboratively across multiple teams and organizations\n\nExperience with scalable software development on cloud computing platforms (e.g., GCP, AWS)\n\nWhy Join Us?\nCompetitive salary, equity and annual bonus\n\n401k matching at 50% up to IRS maximum contribution\n\nUnlimited PTO plus a summer and winter break (one week each)\n\nTwelve weeks of fully paid parental leave in the US, with another 8 weeks for birthing parents\n\n$750 equipment, software, and office furniture budget\n\n$100 per month for wellness (physical or mental) and $100 for home office bills\n\nTop-notch medical, dental and vision insurance for you and your dependents with all premiums covered at 95% for employees\n\nFamily Planning support (fertility, surrogacy, adoption) through Carrot\n\nSandboxAQ Welcomes All\nWe 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.\nEqual 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.\nAccommodations: 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.\nRead:Guidance for candidates on using AI Tools in interviews","description_format":"text","description_chars":6171,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Home office","Parental leave","Unlimited PTO","Vision insurance"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Quantum Science & Computing","Information Security","AI for Science"],"lifecycle":[{"event":"open","at":"2026-05-27T16:55:40Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.862,"p_room":0.36,"age_days":144,"expected_fill_days":87,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-19T05:45:15Z"},"pay":{"stated_usd_annual":147373,"is_top_pay":false},"html_url":"https://alion.io/job/sandboxaq-senior-machine-learning-engineer-ai-generation-engine","json_url":"https://alion.io/job/sandboxaq-senior-machine-learning-engineer-ai-generation-engine.json","meta":{"generated_at":"2026-10-20T03:07:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3444,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7529},"rest":"https://alion.io/mcp/rest/get_company?id=7529"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsandboxaq-senior-machine-learning-engineer-ai-generation-engine"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsandboxaq-senior-machine-learning-engineer-ai-generation-engine"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsandboxaq-senior-machine-learning-engineer-ai-generation-engine"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sandboxaq-senior-machine-learning-engineer-ai-generation-engine\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsandboxaq-senior-machine-learning-engineer-ai-generation-engine"}]}