Applied Artificial Intelligence / Machine Learning [Multiple Positions Available]
Applied Artificial Intelligence / Machine Learning [Multiple Positions Available]
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
DESCRIPTION:
Duties: Implement and apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing (NLP) speech analytics time series reinforcement learning and recommendation systems. Research and explore new machine learning methods attending industry-leading conferences experimentation and participating in our knowledge sharing community. Develop state-of-the art machine learning models to solve real-world problems and apply them to tasks such as text classification named entity recognition topic modeling machine translation document retrieval question answering information retrieval conversation agents summarization document clustering text generation optical character recognition speech recognition time-series predictions and/or recommendation systems. Collaborate with multiple partner teams such as Business Technology Product Management Legal Compliance Strategy and Business Management to deploy solutions into production. Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business.
QUALIFICATIONS:
Minimum education and experience required: Masters degree in Applied Statistics Mathematics Operations Research Optimization Data Science or related field of study plus 3 years (36 months) of experience in the job offered or as Applied Artificial Intelligence / Machine Learning Machine Learning Engineer Research Scientist or related occupation. The employer will alternatively accept a PhD in Applied Statistics Mathematics Operations Research Optimization Data Science or related field of study plus 1 year (12 months) of experience in the job offered or as Applied Artificial Intelligence / Machine Learning Machine Learning Engineer Research Scientist or related occupation.
Skills Required: This position requires experience with the following: At least one of the following: personalization recommendation speech recognition or NLP; designing machine learning experiments and frameworks including feature extraction data augmentation synthetic data generation model pre- training fine-tuning performance evaluation robustness testing interpretability analysis and visualization; outlining and evaluating intrinsic and extrinsic metrics for model performance aligned with business goals; big data and scalable model training; personalized contents recommender systems search and ranking; A/B testing experimentation and data-driven product development; cloud-native deployment in a large scale distributed environment; experience in either: reinforcement Learning or Meta Learning; developing and debugging production-quality code; continuous integration models and unit test development; machine learning and deep learning toolkits including NLTK spaCy Hugging Face transformers Scikit-Learn Rasa NLU PyTorch Docker Numpy Pandas Spark MongoDB Scala; experience with machine learning and deep learning.
Job Location: 1201 3rd Ave Seattle WA 98101.
We offer a competitive total rewards package including base salary determined based on the role experience skill set and location. For those in eligible roles discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs based on eligibility. These benefits include comprehensive health care coverage on-site health and wellness centers a retirement savings plan backup childcare tuition reimbursement mental health support financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring addition please visit: Salary: $210000 - $260000 per year.
Employment Type
Full-Time
