Vancouver Bc Ml engineer Jobs – 85 Openings This Week

ML Engineer II (Inference Platform)
Beatdapp —Vancouver, BC
- Full-time
- Master's degree
- SQL
- AWS
Quick apply
6d
Sr. Applied Scientist, Private Brands Intelligence - SCIT Science
Amazon.com.ca, ULC —Vancouver, BC
- $195,900–$327,200 a year
- Full-time
- Doctoral degree
- Java
- Master's degree
- Profit sharing
- Dental care
2d
AI Software Engineer
TrustFlight —Vancouver, BC
- $110,000–$160,000 a year
- Full-time
- Computer Science
- CAD
- Engineering
- Dental care
- Paid time off
Quick apply
Advanced Technology: Compiler Engineer
Cerebras Systems —Vancouver, BC
- Computer science
- Doctoral degree
- Computer Science
Senior Backend Engineer (.NET & AI/ML)
Zonda Home —Vancouver, BC
- $110,000–$130,000 a year
- Full-time
- Remote
- Azure
- DevOps
- Databases
- Wellness program
- Designated paid holidays
Quick apply
Staff R&D Engineer-17397
Synopsys —Vancouver, BC
- $100,000–$150,000 a year
- Doctoral degree
- Master's degree
- C++
14d
Principal Engineer, AI & ML Solutions
Royal Bank of Canada —Vancouver, BC
- Full-time
- APIs
- AI
- Python
Staff Software Engineer (Backend) - Fable Core
Scribd, Inc. —Vancouver, BC
- $141,000–$267,000 a year
- Full-time
- Java
- AWS
- Business
- Disability insurance
- Dental care
Machine Learning Engineer - Sports Technology
Electronic Arts —Vancouver, BC
- $122,300–$170,700 a year
- Full-time
- Computer Science
- Bachelor's
- Machine learning
- Disability insurance
- Dental care
9d
Machine Learning Engineer - Evisort
Workday —Vancouver, BC
- $128,000–$192,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Intermediate Machine Learning Developer
Weir Group —Vancouver, BC
- $84,300–$120,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Analysis skills
AI Staff Machine Learning Engineer, General AI, ML & Big Data
C-Serv —Vancouver, BC
- Hybrid work
- Computer science
- Azure
- Doctoral degree
- Dental care
- Paid time off
Quick apply
Data Scientist
UBC Faculty of Forestry —Vancouver, BC
- $7,622.83–$11,886.67 a month
- Full-time
- Java
- Master's degree
- SQL
8d
Machine Learning Software Engineer
Royal Bank of Canada —Vancouver, BC
- Full-time
- DevOps
- Research
- Machine learning
MLOps Engineer (Energy) - MLEAS
NavitasPartners —Vancouver, BC
- From $30 an hour
- Azure
- AI
Quick apply
6h
Forward Deployed AI Engineer
Nucleus —Vancouver, BC
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Databases
Quick apply
14d
Applied Scientist Manager, Tax Engine
Amazon Development Centre Canada ULC —Vancouver, BC
- $222,800–$372,000 a year
- Full-time
- Machine learning
- Profit sharing
- Dental care
Senior Software Engineer (Python + Distributed systems)
Scribd, Inc. —Vancouver, BC
- $146,500–$228,000 a year
- Full-time
- Computer Science
- AWS
- Bachelor's
- Disability insurance
- Dental care
Machine Learning Engineer (Energy) - MLEEAS
NavitasPartners —Vancouver, BC
- From $30 an hour
- Machine learning
- Python
- Analytics
Quick apply
6h
Software Engineer, Backend
StackAdapt —Vancouver, BC
- Remote
- Paid time off
- Work from home
9d

I want to receive the latest job alerts for ml engineer in vancouver bc

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ml engineer jobs near vancouver bc

Machine Learning Engineer jobs in Vancouver, BC

Senior Software Engineer jobs in Vancouver, BC

Software Engineer jobs in Vancouver, BC

Energy Engineer jobs in Vancouver, BC

Data Scientist jobs in Vancouver, BC

Senior Ai Ml Engineer jobs in Vancouver, BC

Ai Developer jobs in Vancouver, BC

Platform Engineer jobs in Vancouver, BC

R&D Engineer jobs in Vancouver, BC

Engineer jobs in Vancouver, BC

Ai Ml Engineer jobs in Vancouver, BC

Staff Software Engineer jobs in Vancouver, BC

Applied Scientist jobs in Vancouver, BC

Machine Learning Engineer jobs in Nouveau Brunswick

Standard Machine jobs in Saskatoon, Sk

Machine Learning Engineer jobs in Guelph, On

Learning Experience Designer jobs in Vancouver, Bc

Machine Learning Engineer jobs in Kelowna, Bc

Network Engineer jobs in Ottawa, On

Machine Learning Engineer jobs in Montréal, Qc

ML Engineer II (Inference Platform)

Beatdapp -
Vancouver, BC

Quick apply

Job details

Full-time
6 days ago

Qualifications

Jira
Cloud infrastructure
Rust (programming language)
Go
Google Cloud Platform
Master's degree
SQL
AWS
C++
Bachelor's
PostgreSQL
Distributed systems
Terraform
Computer networking
APIs
Kafka
Model evaluation
Communication skills
Python

Full job description

About Beatdapp

Beatdapp is a company delivering the most advanced streaming integrity technology in the world. One of our ventures is building machine learning inference systems for audio at scale. The work spans music, podcasts, and speech, with a particular focus on AI-generated sound. As generative audio gets cheaper and faster, the platforms we serve need accurate signal about what's real in their content, and they depend on us to provide it.

About the role

This role sits at the intersection of ML engineering, platform / infrastructure work, and inference systems. You will bridge the gap between raw audio and the clean signals our detection models depend on. You will partner with data scientists on bringing those models into production, carrying the production lens (latency, cost, customer-facing edges) into design conversations early so trade-offs are made together rather than discovered late.

In practice, the work cuts across the GPU-bound inference containers, the multi-cloud infrastructure that runs them, the API layer in front, the data and observability around them, and the CI that ships it all. The architectural challenge running through all of it is containing drift and scaling with minimal code.

Roadmaps here are weeks, not quarters, and your scope grows and shifts as the team and systems do. So we are hiring for engineering judgment first: a strong feel for clean, scalable design, an eye for code hygiene, and the courage to advocate for a better approach rather than default to consensus.

What you'll do

Container Engineering and Orchestration: Build, tune, and ship our inference containers. Building and maintaining Dockerfile and dependencies, image size and cold-starts, GPU access patterns, the multi-cloud orchestration shape that runs it (ECS, Cloud Run, GKE, EKS), test coverage for the container surface, and the storage abstraction it depends on.
In-Container Performance and Resource Optimization: Squeeze more out of each GPU instance: concurrency tuning, VRAM accounting, request timeouts and queueing, rate limiting, multi-GPU distribution on instances that have more than one, and the right-sizing decisions that follow.
Scale and Stress Testing: Build and run scale and stress scenarios across mock deployments that mirror real customer environments. Characterize the latency-vs-throughput curves, find the breaking points, and turn the results into autoscaling and instance-sizing decisions.
Cloud Infrastructure: Operate the Terraform stack across multiple clouds (GCP, AWS). Networking, identity, GPU nodes, autoscaling, per-tenant account configurations.
API Layer: Build and extend the customer-facing API layer that fronts the inference service: client authentication, rate limiting, per-client data isolation, and request metering.
Maintain Data Pipelines: Maintain and extend the data orchestration pipelines that feed model evaluation, customer reporting, and operational dashboards.
Observability: Build and tune the metrics, dashboards, logging, and alarms across three layers: the inference service, the running instances, and the deployed models themselves.

What we're looking for

Related STEM degree (BSc, MSc, or higher) and 3+ years of work experience in platform / infra / backend / ML / applied-ML / data engineering.
Strong engineering skills: The ability to write clean, scalable, production-grade code in Python or more performance-oriented language(s) (Go, Rust, C++).
Architectural fluency across data stores, distributed systems, caching, and data transfer protocols.
Data engineering skills: Comfort building data processing pipelines and using SQL (Airflow, BigQuery, Postgres).
Deep cloud infrastructure and networking experience across one or more platforms (GCP, AWS).
ML platform tooling: comfort with MLflow or similar tooling and model lifecycle processes (model versioning, artifact storage, promotion workflows).
Terraform: write and modify modules, understand state and backends, IaC over console.
CI/CD discipline: cloud OIDC, image signing, pinned versions, an instinct for cheap and reproducible CI.
Observability instincts: comfortable instrumenting across hardware, application, and model layers (latency, throughput, score distributions, drift). You know which metric to look at first when latency spikes.
Inference performance tuning: comfort with the levers of a high-throughput GPU service (micro-batching, concurrency, request queueing, in-container resource management).
Strong written communication: runbooks, design docs, PR descriptions, postmortems, and ticket hygiene (Jira).

Nice-to-haves

Not required, but a strong plus if you bring hands-on work experience with at least one of the following:

Audio or media systems
Signal processing
Speech detection (synthetic / artificial)
Computer vision
GPU work beyond running inference (CUDA, kernels, drivers, cluster operations)
Streaming systems (Kafka, Pub/Sub, Kinesis, or similar)

Quick apply

Refine Your Search

ml engineer jobs in vancouver bc

ML Engineer II (Inference Platform)

Sr. Applied Scientist, Private Brands Intelligence - SCIT Science

AI Software Engineer

Advanced Technology: Compiler Engineer

Senior Backend Engineer (.NET & AI/ML)

Staff R&D Engineer-17397

Principal Engineer, AI & ML Solutions

Staff Software Engineer (Backend) - Fable Core

Machine Learning Engineer - Sports Technology

Machine Learning Engineer - Evisort

Intermediate Machine Learning Developer

AI Staff Machine Learning Engineer, General AI, ML & Big Data

Data Scientist

Machine Learning Software Engineer

MLOps Engineer (Energy) - MLEAS

Forward Deployed AI Engineer

Applied Scientist Manager, Tax Engine

Senior Software Engineer (Python + Distributed systems)

Machine Learning Engineer (Energy) - MLEEAS

Software Engineer, Backend

I want to receive the latest job alerts for ml engineer in vancouver bc

Related Searches

Explore jobs in more locations

About Beatdapp

About the role

What you'll do

What we're looking for

Nice-to-haves

Job seeker tools

Employer Tools

Browse

Stay Connected