Machine Learning Engineer

Job not on LinkedIn

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pattern

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏭 Manufacturing

📦 Logistics

🤖 Artificial Intelligence

💰 $1.2M Venture Round on 2022-05

Manufacturing • Logistics • Artificial Intelligence

Pattern is a company focused on revolutionizing air logistics through advanced automation and robotics technologies. With a commitment to bringing harmony to the logistics sector, Pattern develops sophisticated tools that enhance visibility and reliability in dynamic environments, such as airports and cargo handling. Their expertise spans across robotics, computer vision, and artificial intelligence, ensuring scalable solutions at a cost-effective price point.

📋 Description

• Build and deploy ML pipelines powering PatternAI’s machine learning platform • Manage MLOps infrastructure to monitor and optimize models • Help build best-in-class machine learning solutions for marketing, sales, and commercial analytics

🎯 Requirements

• 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist • Proficiency across topics in machine learning and statistics • Fluency in Python coding and data manipulation using SQL, Spark, and Pandas • Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, TensorFlow, Pandas, and common ML cloud services • Familiarity with CNNs, RNNs, LSTMs, and the latest research trends • Experience implementing, deploying, and maintaining production machine learning systems • Experience monitoring and optimizing model performance • Experience with Linux, Docker, AWS, and basic development operations • Advanced degree in computer science, mathematics, statistics, or related area of study strongly preferred

🏖️ Benefits

• Employees can work remotely

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