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Next Step Systems - National IT Recruiting Firm
Next Step Systems - National IT Recruiting Firm
1 – 10 Angajați
B2BTehnologie HR
Next Step Systems este o firmă de recrutare IT axată pe piața din SUA, care pune în legătură profesioniștii din tehnologie cu roluri permanente, cu normă întreagă. Plasările sale acoperă programarea și ingineria software, ingineria rețelelor și a serviciilor cloud, precum și SAP. Înființată în 1995, firma și-a extins serviciile de recrutare prin achiziții, inclusiv Parallel Partners, și colaborează atât cu angajatori, cât și cu persoane aflate în căutarea unui loc de muncă.
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Locurile de muncă ale companiei

Senior Machine Learning Lead Engineer

Lead the systems behind the company’s machine learning, spanning training, evaluation, inference, and deployment. Build production infrastructure with Python, PyTorch or JAX, and GPU computing.

MLMali
160.000 $ – 190.000 $ / an
RemoteNormă întreagăSeniorLimbă Obligatorie: englezăInginer de învățare automată
PythonPyTorch

Descriere

  • Lead the company’s end-to-end machine learning systems, covering data, training, evaluation, inference, and deployment.
  • Develop and improve training and fine-tuning pipelines for large models.
  • Create evaluation systems that measure model capability, robustness, safety, and real-world product performance.
  • Design high-performance inference systems, optimizing latency, GPU utilization, memory, cost, and reliability.
  • Develop data pipelines and systems for high-quality real-world and synthetic training data.
  • Build dependable production infrastructure to deploy, monitor, and continuously improve models.
  • Work with research and application engineering teams to turn model capabilities into product improvements.
  • Make sound technical trade-offs and iterate quickly based on real-world performance.
  • Identify and resolve production issues promptly while limiting user impact.
  • Support and align team members to deliver impactful machine learning work.

Cerințe

  • Prior machine learning experience.
  • Experience building and shipping production machine learning systems, beyond research prototypes.
  • Strong knowledge of modern large-model training, fine-tuning, evaluation, and inference.
  • Strong software engineering and systems fundamentals.
  • Experience operating machine learning workloads at meaningful scale, particularly GPU-based systems.
  • Sound technical judgment and ability to work independently on ambiguous problems.
  • A focus on experimentation, measurement, and delivery.
  • High standards for correctness, reliability, and production quality.
  • Experience with Python, PyTorch or JAX, and GPU-based training and inference systems.
  • Willingness to complete a 60-minute coding assessment.

Beneficii

  • Medical insurance
  • Dental coverage
  • Vision coverage
  • Savings plan options
  • Paid time off

Locuri de muncă similare

Philips

Clinical Study Manager, Medical Devices — Pennsylvania Remote

Philips
Sponsor pentru viza H1BAsigurare de sănătateAsistență medicalăBiotehnologie
USStatele Unite ale AmericiiPAPennsylvania
102.000 $ – 162.000 $ / an
RemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăCercetare clinică
Google Cloud Platform

Lead compliant medical device clinical studies for Philips, coordinating sites, documentation, data quality, budgets, and regulatory readiness. This remote role requires local proximity to Pittsburgh, Pennsylvania.

Deschide