1 Π΄Π΅Π½Ρ Π½Π°Π·Π°Π΄
AI Research Engineer
80Β 000 - 100Β 000$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
AI Research Engineer (Machine Learning/Deep Learning): Designing and shipping advanced machine learning systems that bridge applied research and production engineering, with an accent on model training, evaluation, scalable pipelines, and production observability. Focus on adapting current research techniques, building distributed and mixed-precision training workflows, and taking deep learning models from prototypes to reliable production systems.
Location: 100% remote within the United States
Salary: $80,000β$100,000 annually
Company
is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
- Design and ship advanced machine learning and deep learning systems for high-impact business problems.
- Take models through the full lifecycle, from problem framing and experimentation to deployment and continuous improvement.
- Train, fine-tune, and evaluate deep learning models at non-trivial scale.
- Build robust, scalable, and well-instrumented production ML pipelines with observability and safeguards.
- Evaluate current AI research and adapt relevant techniques for real-world applications.
- Explain complex technical methods clearly through written and verbal communication.
Requirements
- Masterβs or PhD in Computer Science, Machine Learning, Statistics, or a closely related field, or equivalent applied experience.
- 6+ years of combined research and applied ML engineering experience.
- Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX.
- Strong grounding in mathematics, statistics, and the theoretical foundations of modern machine learning.
- Experience with distributed training, mixed-precision training, and accelerator hardware.
- Must be authorized to work in the United States; new H-1B visa petitions cannot be sponsored.
Nice to have
- Published research at top-tier AI/ML venues.
- Experience with large language model training, fine-tuning, or evaluation.
- Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
- Exposure to responsible AI, model evaluation, and alignment practices.
- Experience contributing to open-source ML projects.
Culture & Benefits
- Full-time direct W-2 employment.
- Fully remote work within the United States.
- Opportunity to work across applied AI research and production engineering.
- Career growth opportunities within an established technology organization.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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