18 meilleures offres (computing systems engineer) (à pourvoir)

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Genius Sports Group —Lausanne, VD
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- Compétences rédactionnelles
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- Niveau Master
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- Télétravail
- JavaScript
- Compétences en communication
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Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)
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- Niveau Master
Internship - Reinforcement Learning for Navigation
ANYbotics —Zürich, ZH
- 3 000 CHF par mois
- Anglais
- C++
- Niveau Licence
Enterprise AI Application Developer
BlueCallom AG —Zürich, ZH
- Oracle
- Niveau Master
- Bases de données
Low Latency MM Engineer
G-20 Group —Zürich, ZH
- 100%
- Assemblage
- C++
- Réseaux informatiques
Postuler rapidement
il y a 4 jours
Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
Meta —Zürich, ZH
- Niveau Doctorat
- Analyse de données
- Recherche
Senior Product Security Engineer / Architect [Lausanne]
Taurus SA —Lausanne, VD
- Travail hybride
- Bar
- Informatique
- Niveau Doctorat
Postuler rapidement
Research Fellowship: Applied Physics and Engineering
CERN —Genève, GE
- De 7 004 CHF à 7 425 CHF par mois
- 100%
- Niveau Doctorat
- Anglais
- Recherche
- Formation sur place
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(Senior) VMware Solution Architect – 100%
SOULTEC AG —Dübendorf, ZH
- 100%
- Anglais
- Aide au transport
PostDocs and/or Senior Engineers in Electromagnetics
IT'IS Foundation —Zürich, ZH
- Niveau Doctorat
- Anglais
- C++
Technical Account Manager - Energy Transformation (m/f/d)
MathWorks —Berne, BE
- Niveau Licence
- Sans diplôme d'enseignement supérieur
- Production
il y a 11 jours
Senior Infrastructure Business Operations Manager
Roche —Bâle, BS
- 100%
- Esprit d'analyse
- Niveau Licence
- Compétences en communication
il y a 11 jours
Software Engineer, Gemini and Search
Google —Zürich, ZH
- 100%
- Esprit d'analyse
- C++
- Niveau Licence
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Research Engineer, Production Model Post-Training

Anthropic -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

Avantages

Congé parental payé

Qualifications

Niveau Licence
Compétences en communication
Python

Description complète du poste

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.

You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.

Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.

Responsibilities:

Implement and optimize post-training techniques at scale on frontier models
Conduct research to develop and optimize post-training recipes that directly improve production model quality
Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
Develop tools to measure and improve model performance across various dimensions
Collaborate with research teams to translate emerging techniques into production-ready implementations
Debug complex issues in training pipelines and model behavior
Help establish best practices for reliable, reproducible model post-training

You may be a good fit if you:

Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities
Adapt quickly to changing priorities
Maintain clarity when debugging complex, time-sensitive issues
Have strong software engineering skills with experience building complex ML systems
Are comfortable working with large-scale distributed systems and high-performance computing
Have experience with training, fine-tuning, or evaluating large language models
Can balance research exploration with engineering rigor and operational reliability
Are adept at analyzing and debugging model training processes
Enjoy collaborating across research and engineering disciplines
Can navigate ambiguity and make progress in fast-moving research environments

Strong candidates may also:

Have experience with LLMs
Have a keen interest in AI safety and responsible deployment

We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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computing systems engineer emplois

Research Engineer, Production Model Post-Training

Nexus Labs - Smart Contract Engineer

Data Centre Specialist

Senior Software Engineer - Edge Vision Platform

Senior HPC Performance Engineer

Senior Backend Developer

Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)

Internship - Reinforcement Learning for Navigation

Enterprise AI Application Developer

Low Latency MM Engineer

Research Scientist Intern, AI/ML, Core Ads Growth (PhD)

Senior Product Security Engineer / Architect [Lausanne]

Research Fellowship: Applied Physics and Engineering

(Senior) VMware Solution Architect – 100%

PostDocs and/or Senior Engineers in Electromagnetics

Technical Account Manager - Energy Transformation (m/f/d)

Senior Infrastructure Business Operations Manager

Software Engineer, Gemini and Search

Related jobs to explore

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : computing systems engineer

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About Anthropic

About the role

Responsibilities:

You may be a good fit if you:

Strong candidates may also:

Logistics

How we're different

Come work with us!

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