Machine Learning Research Engineer
Location: Remote in the United States (must reside in the Eastern Time Zone)
Travel: Very limited but need to be open to it – visiting customers or company events
Employees: 1,300 | Industry: SaaS, FinTech, Banking, Fraud, Cybersecurity
Responsibilities:
• Analyzing unstructured data to address customer problems
• Developing and evaluating new research ideas while improving existing capabilities
• Collaborating with data science and product management teams
• Analyzing complex communications data, generating insights, and creating solutions
• Developing machine learning (ML) models and other analytics
• Data annotation, quality review, exploratory data analysis, model fail state analysis
• Interacting with stakeholders to understand modeling needs
Requirements:
• 1+ year of experience working with data and analytics
• Experience working with Python
• Experience with data science and machine or deep learning frameworks and tooling
• Familiarity with unstructured, multi-modal communications data (text, speed, images, video)
• Experience working with LLM and/or NLP is preferred
• Experience with any of the following is preferred – scikit-learn, H20, Keras, PyTorch, TensorFlow, Pandas, NumPy, Lightning, Nvidia NeMo, Carot, gloVe, fastText, word2vec, Bert, SBert, GPT-x, NLTK, spaCy, AWS, GCS, Azure, Docker, Kubernetes
Benefits:
• 100% paid medical, dental, vision (individual and family), 100% paid life insurance and short/long-term disability, 401K with match that is vested immediately, cell phone reimbursement, open PTO plan, paid holidays, gym membership reimbursement
Compensation:
• $130K – $145K + 10% Annual Bonus
Location: , , US
Offer Expires: 2024-10-26 18:22:32
Job Posting Language: en
Benefits:
- Retirement Savings
- Dental Coverage
- Paid Time Off
- Health Insurance
Qualifications:
- 1+ year of experience working with data and analytics
- Experience working with Python
- Experience with data science and machine or deep learning frameworks and tooling
- Familiarity with unstructured, multi-modal communications data (text, speed, images, video)
Responsibilities:
- Analyzing unstructured data to address customer problems
- Developing and evaluating new research ideas while improving existing capabilities
- Collaborating with data science and product management teams
- Analyzing complex communications data, generating insights, and creating solutions
- Developing machine learning (ML) models and other analytics
- Data annotation, quality review, exploratory data analysis, model fail state analysis
- Interacting with stakeholders to understand modeling needs
Benefits:
- 100% paid medical, dental, vision (individual and family), 100% paid life insurance and short/long-term disability, 401K with match that is vested immediately, cell phone reimbursement, open PTO plan, paid holidays, gym membership reimbursement
- $130K – $145K + 10% Annual Bonus
LinkedIn: Apply Here