Software Engineer, Machine Learning Operations

Blissway Inc.

. Own infrastructure behind model training and serving .

Posted 10/6/2026full-timeDenver • Colorado • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing production systems for model training and deployment, with a strong focus on Python and TypeScript. Proficient in managing model versioning, monitoring performance, and deploying to edge devices in a resource-constrained environment.

Highest-signal resume keywords

Model DeploymentPython ProgrammingTypeScript ProgrammingProduction Systems EngineeringMachine Learning Operations

ATS Keywords

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Hard Skills

Model VersioningPipeline OptimizationSystem DesignObservabilityOperational ToolingDebuggingEdge InferenceMonitoringRetraining ProcessesProduction-Quality Coding

Soft Skills

Quick LearningCollaborationAdaptability

Tools & Technologies

Cloud InfrastructureSelf-Managed ServersField Devices

Industry Keywords

Machine LearningModel TrainingImage ProcessingSegmentationClassificationRe-IdentificationResource-Constrained Hardware

Tech Stack

Tools & technologies

CloudPythonTypeScript

About the role

Key responsibilities & impact

Own infrastructure behind model training and serving
Manage model versioning, deployment, and rollback
Build and optimize pipelines processing 11 million images daily
Support detection, segmentation, classification, embeddings, and re-identification systems
Develop systems for roadside hardware and edge inference
Build mechanisms to deploy and update models on edge devices
Monitor model performance and detect degradation or drift
Own updates and retraining processes that keep models correct in production
Build and operate systems running across cloud infrastructure, self-managed servers, and field devices
Participate in a thorough interview process involving 3–4 interviews and a final paid work trial
Collaborate in person with the lean engineering team and technical decision-makers

Requirements

What you’ll need

2 to 6 years of software engineering experience building and running production systems such as infrastructure, backend services, or ML platforms
Production-quality coding skills
Experience building reliable systems, pipelines, deployment, observability, and operational tooling
Understanding of, or eagerness to learn, how models are trained and evaluated well enough to debug them in production
Ability to learn quickly and work across teams in a lean environment
Experience with software engineering and system design for the unpredictability of the physical world
Python and TypeScript are primarily used, but proficiency in another language is acceptable if the candidate learns quickly
Experience deploying ML models, monitoring or retraining models, deploying to edge or resource-constrained hardware, or operating self-managed servers is a bonus
Role requires relocation to Denver
Candidates must address whether they require visa sponsorship to work in the USA

Benefits

Comp & perks

Relocation bonus and relocation support to join the Denver engineering office
Monthly healthcare allowance for employees and dependents through an ICHRA
401(k) matching up to 4%
Company-sponsored life and disability insurance
Competitive equity package
Annual tender process allowing vested shares to be sold at the same valuation as investors
4 weeks of untracked PTO
12 weeks of paid parental leave for birth and adoptive parents
12 weeks of fully paid sabbatical every 5 years
Daily breakfast and group lunches
Fully stocked kitchen and snacks
Annual 4-day team getaway for employees and significant others
Monthly game nights, escape rooms, and dinners
Tuition reimbursement for courses, programs, and conferences