Senior Machine Learning Engineer

December 6

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Third party security • risk management • vendor risk management • security ratings • Threat Intelligence

501 - 1000 employees

Founded 2013

🔒 Cybersecurity

🏢 Enterprise

💰 $180M Series E on 2021-03

Description

• As a Senior ML Engineer, you will be a technical leader within the Data Science organization • Share your experience and set best practices • Design and implement ML algorithms • Build scalable data pipelines • Deploy reliable models into production environments • Collaborate with cross-functional teams to integrate ML solutions into products • Conduct research to stay ahead of emerging technologies • Ensure models perform optimally through ongoing monitoring and refinement • Your work will directly enhance cybersecurity resilience for organizations worldwide

Requirements

• 5+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field • Strong programming skills in Python • Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn • Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL • Solid understanding of algorithms, statistics, and data structures • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) • Knowledge of CI/CD pipelines and version control systems (e.g. Git) • Familiarity with Linux/Unix command line tools • Preferred: PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field • Preferred: Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex • Preferred: Experience with big data technologies such as Hadoop, Spark, or Kafka

Benefits

• Specific to each country, we offer a competitive salary • Stock options • Health benefits • Unlimited PTO • Parental leave • Tuition reimbursements • Much more!