Here are sample job advertisements for these types of roles..
Machine Learning Researcher
Kite – San Francisco, CA
Programmers spend too much time doing repetitive work — copying and pasting from StackOverflow, fixing simple errors, and writing boilerplate code. We’re building an AI code engine that does this work for you. Programming using Kite is faster and more fun.
Kite is well-funded by top investors in Silicon Valley, including the founders of PayPal, Stripe, Palantir, and Dropbox to name a few. We are looking to expand our 15-person startup with talented individuals who are interested in joining an early stage startup. The ideal candidate is excited to help guide the direction of our product and company. They will have a significant amount of ownership of critical technical components. Our team is growing rapidly and we hope you’ll grow with us too!
We are looking for a deeply experienced Machine Learning Researcher who is able to design sophisticated models to drive innovation in our product field. If you have a strong experience diving deep to build machine learning models, come join the team that’s changing the way people code.
Check out what TechCrunch and Venture Beat have to say about our recent launch!
What you’ll do:
- Work on exciting new applications for ML that combine large datasets with highly structured input and output spaces
- Apply the latest techniques from research and academia to real world problems in a production environment
- Innovate and develop new techniques for applying ML on source code to novel problems
- Use traditional ML techniques such as Probabilistic Graphical Models, SVMs, etc. along with the latest techniques from deep learning including graph neural networks
- Work with the Program Analysis Team to leverage techniques from static analysis to build rich representations of source code that are suitable for learning
- Work with the Program Analysis Team to improve the precision, robustness and scalability of traditional static analysis algorithms using techniques from machine learning
Minimum Qualifications:
- BA/BS degree or higher in Computer Science/Math/Physics or related technical field
- 2+ years of work experience, including experience working in industry or as a researcher in a lab
- Interest in pioneering research in a new and exciting field
- Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence)
Preferred Qualifications:
- MS degree or PhD in Computer Science, Artificial Intelligence, Machine Learning or related technical field.
- Experience with Machine Learning Modeling
- Contribution to research communities and/or efforts
- Experience with one or more of the following: Natural Language Processing, text understanding, recommendation systems, pattern recognition or similar
- Ability to work from our San Francisco office (wonderful office in the bustling Financial District area)
Siri – Machine Learning Scientist
Apple – Seattle, WA
Play a part in the next revolution in human-computer interaction. Give to a product that is redefining mobile computing. Build groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who built the intelligent assistant that helps millions of people get things done — just by asking. Join the Siri Machine Learning & Natural Language team at Apple.
Key Qualifications
- Strong programming and software engineering skills (Java, C++, Scala, Python or equivalent) Expertise in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling and ranking Prior experience with applying Big Data (MapReduce, Hadoop, Hive and/or Pig, Spark) tools to large quantities of textual data is a plus Hardworking, self-starter, shown ability to run multiple projects to strict deadlines. Ex
Description
The goal of the Siri Machine Learning & Natural Language team is to take Siri to the next level of intelligence and accuracy using advanced statistical techniques. We work on a wide spectrum of approaches to improving Siri. You would work on core machine learning algorithms and models that are part of Siri’s ability to understand and respond to requests. You would also work on building scalable distributed systems to deliver these models to Siri’s users. You should be passionate about building extraordinary products. This position involves a wide variety of skills and innovation. This is a rare opportunity that sits at the state of the art of machine learning and software.
Education & Experience
Bachelor’s in Computer Science or equivalent Masters or PhD preferred
Additional Requirements
Natural Language and Machine Learning experience is a plus Bilingual or multilingual preferred. Japanese, Mandarin, English, Etc…
Machine Learning Engineer, Siri Experience
Apple – Seattle, WA
Would you like to play a part in the next revolution in human-computer interaction? Come join the Siri team at Apple. Contribute to a product that is redefining mobile computing. Build groundbreaking technology for artificial intelligence. Transform the way people keep up with the world and work with the people who crafted the intelligent assistant that helps millions of people get things done — just by asking. We are looking for an experienced software engineer who wants to bring their passion for building incredible products to deliver the next generation of voice assistant technology to hundreds of millions of customers worldwide. An ideal candidate will have a proven track record of delivering high quality products and will be a perfect fit in our team. Our growing team combines strong technical skills, product vision, and an exciting mission.
Key Qualifications
- Minimum 5 years of industry experience in software development.
- Minimum 3 years of experience as a technical lead/architect including technical leadership and mentorship experience.
- Strong Computer Science fundamentals, object-oriented programming and design skills
- Experience working with Machine Learning based applications – building models from scratch, shipping and deploying models to production, debugging ML-based systems in production.
- Understand and has worked with ML frameworks like Tensor Flow, PyTorch etc.
- Passionate about working with large data sets and experience wrangling large data sets.
- Has dealt with multiple types of data – time series, text and natural language, speech, images, audio etc.
- Ability to deal with ambiguity.
- Excellent problem solving, critical thinking and communication skills.
Description
Join Apple’s Siri team as a ML Engineer to deliver the best Siri experience around the world. We are involved in bringing innovative solutions to complex engineering issues and problems that have not been solved before. An ideal candidate will have a strong foundation in software engineering and a proven-record of delivering high-quality features into production. More specifically, an engineer in this role will be passionate about building new products that leverage machine learning that delight our users and will do what it takes to get there. SPECIFIC RESPONSIBILITIES INCLUDE • Serve as the technical architect/lead and system designer for substantial product features and be responsible for shipping them on time. • Build effective working relationships with peers and stakeholders in partner teams and organizations (eg: Siri Understanding, Siri Search, Platform, Tools). • Actively mentor and coach junior engineers.
Education & Experience
B.S/M.S/Ph.D in Computer Science or an equivalent degree
Machine Learning Researcher
D. E. Shaw & Co., L.P. – New York, NY 10036 (Midtown area)
Machine learning researchers at the D. E. Shaw group create novel machine learning approaches to financial applications. They utilize their creativity and innovation to help the firm trade profitably in markets around the globe. All types of learning and AI, including deep learning and statistical learning, are potentially relevant.
Specific responsibilities include designing, implementing, testing experimentally and scaling up new models for forecasting asset prices, developing new tradeable signals, and other financial applications.
Who we’re looking for
- Successful candidates will have a track record of exceptionally creative, hands-on, high-impact machine learning research and applications. We welcome candidates from both industry and academia, and at various levels of seniority, from Ph.D. students nearing graduation to established researchers. Broad experience across multiple fields of ML is a plus.