(REMOTE - US ONLY) Sr. NLP Research Scientist (ML/DL/GPT-3) In 2020 Darwin Recruitment placed x3 of the best NL Researchers in the USA into an early-stage start-up. Since then this company has increased their customer based from 300,000 to over 4+ million people, have tripled their revenue and are about to secure $20M in series A funding, of which a large percentage of this investment will go into R&D for GPT-3. The Founder reached out to us to let us know that they were looking for another Sr. NLP Research Scientist who has worked on cutting edge language modelling, has translation expertise, deep learning and someone that can train GPT-3 from scratch without screwing it up (anyone who knows will know that this is costly process and requires precision to save both time and investment) This is a growth role that gives you huge influence and the long-term opportunity to grow a pod amounts some of the best Researchers in the industry. In the short term however, you need to be comfortable rolling up your sleeves and getting your hands dirty! · Doctorate/Masters degree required in Computer Science, or Equivalent Experience. · 7+ years of experience leading software development projects with a distinguished track record on technically demanding projects. · Extensive experience building and training GPT-3 models. Knowing how the nuts and bolts of them work. · 3+ years of strong experience in NLP domain. · Solid understand of AI/ML domain and hand on experience in building new models and deploying to production. · Has worked with deep sequence to sequence models in the context of translation or similar tasks. · Strong statistical analysis skills and demonstrated experience in deriving insights from unstructured data. · Is able to think creatively about novel datasets and architectures. · Good command over English language. Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

Senior Machine Learning Ops Engineer - Remote anywhere in the USA The company: Darwin Recruitment has partnered with a well-funded, high-growth product-orientated start-up who practice real machine learning at production scale who grew by almost 400% in 2020. This company is building the world's first fully connected knowledge graph of commercial entities to understand global supply chain risk for our customers. To do that they've created a SaaS platform that helps their well-known public and private customers manage the risk associated with their supply chain by automating risk assessments for their vendors. The environment: The company has so many extraordinary employees who thrive as part of a fast-paced team and takes pride in their ability to succeed while delivering value to their customers. You would really fit in here if you're someone who likes to be challenged by innovation and wants grow professionally by solving one of the most interesting challenges impacting businesses across the globe. The role - Senior Machine Learning Ops Engineer: They're looking for a world-class subject matter expert in Machine Learning Ops to serve as key technical resource for machine their learning engineers, helping them transition their ML models into production environments. In this role you will have the opportunity to experiment with large data sets, cutting edge language models, and to partner with functional experts across the company to bring that expertise to bear on some of the hardest and most exciting problems in this space. You will be developing systems, tools, & processes to govern ML models for compliance, bias, versioning, traceability and auditability. This job is an individual contributor position, but you will have significant input into research and product development decisions and serve as a key technical leader within the company. Meaning you will be responsible for recommending and driving architecture/infrastructure to create actionable, meaningful, and scalable solutions for business problems. You will contribute to industry-leading-edge projects using your data science, machine learning, and artificial intelligence skills to transfer ideas into solutions for some of the most challenging technical problems that will delight customers. What you need to be considered: - Degree in Computer Sciences (or related technical degree with industry experience). - 6+ years of hands-on industry experience. - 2+ years of experience deploying robust machine learning APIs in production environments (ideally cloud-based environments such as GCP or AWS) - from model training and versioning to observability and delivery to consumers. - Familiarity with and ability to train people on deploying to a containerized environment - Kubernetes. - Experience with machine learning lifecycle platforms (MlFlow / Kubeflow) - Strong Python programming skills. - Experience with databases and data structuring/warehousing. - Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more. - Experience deploying machine learning models using cloud-based solutions such as SageMaker or Azure ML. - Production experience with serverless platforms such as AWS Lambda or Google Cloud Functions ** US Citizenship is required ** Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

Senior Machine Learning Engineer (NLP) - Remote anywhere in the USA The company: Darwin Recruitment has partnered with a well-funded, high-growth product-orientated start-up who practice real machine learning at production scale who grew by almost 400% in 2020. This company is building the world's first fully connected knowledge graph of commercial entities to understand global supply chain risk for our customers.To do that they've created a SaaS platform that helps their well-known public and private customers manage the risk associated with their supply chain by automating risk assessments for their vendors. The environment: The company has so many extraordinary employees who thrive as part of a fast-paced team and takes pride in their ability to succeed while delivering value to their customers. You would really fit in here if you're someone who likes to be challenged by innovation and wants grow professionally by solving one of the most interesting challenges impacting businesses across the globe. The role - Senior Machine Learning Engineer (NLP): They're looking for a world-class Sr. Machine Learning Engineer, that's an expert in extracting structured information from unstructured text. You'll be a great fit if: * You're the kind of the person who wants to solve problems for which you can't just Google answers. * You want to deal with real big data in actual products that real people use. * You want exposure to cutting edge tech, including machine learning at scale, graph databases, and predictive modeling. And you want it all in a high-growth start-up. In this role you will have the opportunity to experiment with large data sets, cutting edge language models, and be supported by a crack team of software engineers and data analysts ready to create the best training data possible and help operationalize your models on AWS infrastructure. This job is an individual contributor position, but you will have significant input into research and product development decisions and serve as a key technical leader within the company. What you need to be considered: - MS or PhD in Machine Learning, Data Science, Computer Science, Statistics, or Applied Mathematics. - 5+ years of hands-on experience in machine learning, predictive modeling, and analysis. - Deep technical skills in machine learning, deep learning and natural language processing with the ability to explain and present deep technical ideas. - A passion for creating innovative techniques and making these methods robust and scalable. - Track record of productionizing ML models/ putting ML models into a large high-availability production environment.. - Fluency in Python and ML/NLP libraries is a must. - Good experience creating entity, relationship, and event extraction models - Experience with transformer and recurrent language models BERT, GPT2, LSTM, Word2Vec - Experience with databases and data structuring/warehousing. - Experience with time-series forecasting. ** US Citizenship is required Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.