Senior Machine Learning Engineer

Who is Recruiting from Scratch: 

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. 

If you are a fit, the team will reach out to you about this role or any others that may be a fit for our clients.

Our Client

Our client helps organizations globally to build trust and speed into their business by matching the Speed of PrivacyOps to the Speed of Dev/BusinessOps. They have clients including Coinbase, Samsara, Twilio, Robinhood, and Flexport. 

The role requires you to think critically and design from the first principles. You should be comfortable with multiple moving parts and microservices architectures. Given you are constructing the foundation on which our global data infrastructure will be built, you need to pay close attention to detail and maintain a forward-thinking outlook as well as scrappiness for the present needs. You are very comfortable learning new technologies and systems. You thrive in an iterative but heavily test-driven development environment. You obsess over model performance and thrive on applying machine learning techniques to business problems.

• Design machine learning pipelines to solve the highest impact business problems in the simplest way
• Gather training data, and train and evaluate state-of-the-art models
• Work with cross-functional teams, including lawyers, data protection and security researchers
• Work with backend developers

• Have strong experience building natural language processing (NLP) systems, specifically in text classification, entity and relation extraction, summarization, and knowledge base construction
• Have strong software engineering skills, are comfortable with Python, and have experience with machine learning and NLP tools and libraries such as scikit-learn, PyTorch, TensorFlow, Keras, spaCy, HuggingFace, Gensim, etc.
• Have experience building end-to-end ML pipelines and deploying models to production
• Thrive in a self-directed environment with full ownership to design features from scratch and the accountability that comes along
• Are motivated by bringing the most value as possible to users, whether this means designing a new feature, training a state-of-the-art model, building an ETL pipeline, recruiting a data labeling vendor, etc.
• Learn new ways of thinking about age-old problems