Senior ML Engineer

Take models from notebook to production and keep them healthy: training, deployment, monitoring, iteration.

What you'll do

• Build and tune models for client problems: classification, ranking, forecasting, NLP.
• Own the MLOps path: pipelines, versioning, CI for models, drift monitoring.
• Turn messy real-world data into reliable training sets with honest evaluation.
• Pair with engineers to integrate models behind clean, observable APIs.

What we're looking for

• 5+ years in ML engineering with models running in production today.
• Strong Python and one modern framework (PyTorch preferred), solid SQL.
• Hands-on with a cloud ML stack (SageMaker, Vertex, or equivalent).
• You measure before you claim: rigorous about baselines and evaluation.

Benefits

• Medical, dental, and vision insurance with the company covering a majority of premiums
• 401(k) retirement plan with company match
• 15 days paid time off plus US public holidays, with paid sick leave on top
• Paid parental leave
• Remote work stipend for your home office setup
• Annual learning budget for courses, certifications, and conferences

Life at TechTide

Since 2013, TechTide has grown from a small team in Ho Chi Minh City into a company of more than 100 people working across two continents, building software for clients in the United States. We work remote-first with good async habits, keep teams small enough that your work is visible, and take code review seriously as a way to teach rather than gatekeep. Engineers talk to clients, designers sit in on discovery, and nobody ships alone. The stack stays modern because the people who use it every day get a real say in it. If you want your work to reach production and your opinions to reach the roadmap, this is a good place to do both.