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Publié il y a 10 jours

Senior Machine Learning Engineer

@ Raydar

Toutes ses offres Site Web

Télétravail au Canada

TélétravailTemps plein
Postuler
SIGNAUX

En bref

Raydar is recruiting on behalf of a software client for a senior machine learning engineer to take trained models into reliable, high-volume production serving. The role covers GPU performance tuning, model acceleration and distributed serving systems. Remote within Canada or the UK, full-time, with a $250K to $300K base salary plus equity and bonus.

Responsabilités :

  • Optimize serving latency and throughput for ML models
  • Take models from research into production deployment
  • Profile and tune code for efficient GPU use
  • Design and run distributed serving systems across GPUs and nodes
  • Apply quantization, batching and caching methods

Résumé des exigences :

  • Senior-level software or inference engineering experience
  • Track record of getting server-side or ML software live for users
  • Hands-on ML inference optimization framework experience
  • Systems programming and GPU optimization in C++, CUDA, Rust or Python
  • Distributed systems and container orchestration experience
  • Based in an eligible remote country

Outils et compétences

CUDA

Avantages mentionnés

Assurance maladieSoins dentairesSoins de la vueRégime de retraite
Source et dates

Site carrière / système de candidatures · workable

Date publiée par l’employeur
2026-10-28
Première détection par notre source
2026-10-29
Mise à jour du dossier source
2026-10-29

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Milieu de travailDomicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationDoctorat (préféré)
Domaines d’étudesquantitative field
Avantages mentionnésCongés payés généreux, Horaire flexible, 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.

Postuler

Raydar

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.

Creating solutions for the future

Description complète de l’entreprise

At Raydar we help innovative companies find the solutions they need to supercharge their growth. See website for full list of active open roles: www.raydar.xyz/open-roles

Abonnés LinkedIn
77 412
Personnes associées sur LinkedIn
28
Bureaux déclarés
  • 1514 17th St, 205, Santa Monica, California 90404, US
Autres noms enregistrés
  • Raydar
Le profil indique une agence de recrutement
Non
Toutes ses offres Site Web

At Raydar we help innovative companies find the solutions they need to supercharge their growth. See website for full list of active open roles: www.raydar.xyz/open-roles

ChampValeur
SecteurBusiness Consulting and Services
Taille11-50 employees
Siège socialSanta Monica, California
Type d’organisationPrivately Held
Fondée en2021
Offres sur Jobsy32
LinkedInVoir la page
Description

About the company

Our client is a software company.

The role

Raydar is recruiting for this role on behalf of our client. Own the path that takes trained machine learning models into reliable production serving, with a focus on speed, efficiency and dependability at high request volume. The work combines performance tuning of models and GPU-based code with the design of distributed serving systems that run across many machines.

What you'll do

- Optimize serving latency and throughput for machine learning models.

- Take models from research through containerization and into stable production deployment.

- Profile and tune code to make efficient use of GPU hardware.

- Design and run distributed serving systems across multiple GPUs and nodes.

- Apply model acceleration methods such as quantization, batching and caching.

Requirements

What we're looking for

- Senior-level experience, comparable to a senior software or inference engineer at a large technology company.

- Track record of developing server-side or learning-based software and getting it running live for real users.

- Hands-on experience with machine learning inference optimization frameworks.

- Proficiency in systems programming and GPU optimization in languages such as C++, CUDA, Rust or optimized Python.

- Familiarity with methods that speed up and shrink models, such as weight compression, knowledge transfer between models or token prediction.

- Experience with distributed systems, container orchestration and handling high concurrency.

- Based in an eligible country for this remote role.

Bonus points

- Public technical work, such as open-source contributions to inference engines or detailed technical write-ups.

- A history of internal progression and promotions within one employer.

- A doctorate in a quantitative field, or equivalent hands-on systems experience, with study at a leading university as a further advantage.

Benefits

Compensation and benefits

- Base salary: $250K to $300K

- Equity

- Annual performance bonus

- Health, dental and vision coverage

- Flexible time off

- 401(k) retirement plan

- Health savings account

Location and work model

- Remote (Canada or UK)

- Full-time

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Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

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