Publié il y a 2 mois
Machine Learning Engineer
@ Helm.ai
Télétravail au Canada
En bref
Helm.ai is hiring a Machine Learning Engineer for a full-time research operations role. The work centres on characterizing neural network quality and failure modes, managing many concurrent experiments, and writing technical reports. The posting gives a base salary range of about $150,000 to $250,000 and an office in South Bay.
Responsabilités :
- Characterize neural network quality, failure modes and edge cases
- Coordinate with researchers and report experiment status
- Manage many concurrent experiments against deadlines
- Review results and suggest improvements
- Write technical reports on qualitative and quantitative results
Résumé des exigences :
- Proficiency in Python
- Proven ability to thrive in a fast-paced environment
- Ability to communicate complex technical concepts
- Introspection, thoughtfulness and detail-orientation
- Master's or PhD and/or 5+ years in a related field (preferred)
- Computer vision and deep learning experience (preferred)
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-09-09
- Première détection par notre source
- 2026-10-08
- 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
| Domaine | Données et analytique |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (préféré), Doctorat (préféré) |
| Avantages mentionnés | Régime de retraite, Actions ou participation, Mieux-être, Repas gratuits ou à rabais, Allocation de télétravail |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Helm.ai
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.
Helm.ai is building the next generation of AI technology for ADAS, autonomous driving, and robotics automation.
Description complète de l’entreprise
Helm.ai is building the next generation of AI technology for ADAS, autonomous driving, and robotics automation.
- Abonnés LinkedIn
- 13 035
- Personnes associées sur LinkedIn
- 84
- Bureaux déclarés
- Redwood City, California 94063, US
- Catégories d’activité
- Artificial Intelligence
- Software
- Automotive
- Artificial Intelligence (AI)
- Machine Learning
- Autonomous Vehicles
- Autres noms enregistrés
- Helm.ai
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 165 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Helm.ai is building the next generation of AI technology for ADAS, autonomous driving, and robotics automation.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | Redwood City, California |
| Type d’organisation | Privately Held |
| Fondée en | 2016 |
| Offres sur Jobsy | 2 |
| Voir la page |
You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:
Characterize neural network quality, failure modes, and edge cases based on research data
Maintain awareness of current trends in relevant areas of research and technology
Coordinate with researchers and accurately convey status of experiments
Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
Review experimental results and suggest theoretical or process improvements for future iterations
Write technical reports indicating qualitative and quantitative results to external parties
You have:
A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
Proficiency in Python
Proven ability to thrive in fast-paced environment
Ability to communicate complex technical concepts to colleagues and a variety of audience
Introspection, thoughtfulness, and detail-orientation
The following are a plus, but not required:
Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field
Experience reading research papers and implementing the techniques therein
Computer vision and deep learning experience
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
Competitive health insurance options
401K plan management
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
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