13 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Staff Computer Vision and Machine Learning Engineer
130Β 000 - 260Β 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
Staff Computer Vision and Machine Learning Engineer (Computer Vision/ML): Building and deploying scalable computer vision and machine learning models, services, APIs, and production infrastructure with an accent on deep learning, foundation models, MLOps, and cloud platforms. Focus on architecting automated training and deployment systems, monitoring model performance, solving complex production reliability challenges, and mentoring engineering teams.
Location: Bethesda, Maryland, United States
Annual salary: $130,000β$260,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies.
What you will do
- Design, implement, and lead complex computer vision and machine learning models for real-world business problems.
- Develop production-grade ML services and APIs and integrate models into production systems.
- Build scalable data processing workflows and infrastructure for automated training, hyperparameter tuning, and deployment.
- Monitor model performance, investigate issues, and implement improvements for accuracy, reliability, and availability.
- Own end-to-end model monitoring, maintenance, and retraining systems.
- Lead and mentor computer vision and machine learning engineers while collaborating with Product, Data Science, data engineering, and software development teams.
Requirements
- Bachelor's degree in computer science, computer or electrical engineering, or a related field; a master's degree in computer vision, machine learning, computer science, statistics, mathematics, or a related quantitative discipline is preferred, or equivalent CV experience.
- 6+ years of experience applying computer vision and machine learning techniques in production environments.
- Experience with detection and segmentation models, computer vision foundation models, VLMs, MLLMs, and generative tools such as diffusers.
- 6+ years of experience with Python, SQL, Spark or equivalent technologies, and frameworks including TensorFlow, PyTorch, and Scikit-learn.
- 4+ years of experience with cloud platforms or environments such as AWS, Azure, Databricks, or Snowflake, plus Kubernetes.
- Strong knowledge of statistical modeling, MLOps, CI/CD, Docker, distributed systems, large-scale data processing, and tools such as Kafka.
Nice to have
- Publications in leading computer vision conferences such as CVPR, ICCV, or ECCV.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative work environment.
- Competitive pay, benefits, and flexibility supporting employee well-being.
- will consider sponsoring employment authorization for a qualified new applicant.
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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