With the continued impact of COVID-19 and social distancing measures, Kensho is conducting all interviews and on-boarding activities remotely. At the present time, all employees are working remotely, until further notice. When the time comes to open our offices, Kensho will fully support those employees who would like to continue working remotely and not ask anyone to return to the office until they are comfortable.
At Kensho, we hire talented people and give them the freedom, support, and resources needed to build cutting edge technology and products for our parent company, S&P Global. As a result, we produce technology that is scalable, robust, and solves the challenges of one of the world’s largest, most successful financial institutions.
As a Machine Learning Engineer, you will be responsible for tackling a wide range of problems from natural language processing to timeseries prediction. You will move beyond the theoretical confines of academia and apply your tradecraft to build machine learning systems on real world data. In this role, you will constantly collaborate and work with groups of engineers. Our Machine Learning team is responsible for delivering ML-based solutions from problem framing, to prototyping, and production application.
Are you looking to make impactful, scalable contributions that transform the way we think about data? If so, we would love to help you excel here at Kensho. We take pride in our tightly-knit, team-based community that provides our Kenshins with a collaborative, supportive environment to bring transparency to the biggest challenges in data.
What You’ll Do
You will conduct original research on large proprietary and open source data sets
Identify, research, prototype, and build predictive products
You will build cutting-edge models for understanding vast amounts of textual data
Write production code
You will write tests to ensure the robustness and reliability of your productionized models
You will work closely with software engineers to build incredible systems
Technologies You’ll Use
Python and specifically NumPy, SciPy, Pandas, SciKit-learn
Neural network packages like TensorFlow/Keras and pytorch
ML packages like LightGBM and XGBoost
Required Skills, Knowledge & Experience
You have 5+ years of experience being a major machine learning contributor at a top company, hedge fund, or university
You have at least one core programming expertise, such as Python (NumPy, SciPy, Pandas), MATLAB, or R
You have experience with advanced machine learning methods
You possess strong statistical knowledge, intuition, and experience modeling real data
You demonstrate effective coding, documentation, and communication habits
You have a strong research acumen and experiment design skills
You have the ability and credibility to lead a team
You have a stellar ability to communicate even the most complicated methods and results to a broad, often non-technical audience
Several of the following terms should hold deep meaning for you: LSTM, lookahead bias, bagging, boosting, stacking, information retrieval, batch norm, entity recognition, bootstrapping, Glorot initialization, Kullback-Leibler divergence, GLOVE, SMAPE, HMM, MAP, exponential family, VC dimension, EM, L1, TD(Lambda)
How to Really Get Our Attention
Your GitHub/Kaggle profile shows a project or problems you’ve tackled
You have relevant research or publications
You are a specialist in deep learning in an academic setting or production-grade machine learning
Benefits & Perks:
At Kensho, we pride ourselves on providing top-of-market benefits, including:
Medical, Dental, and Vision insurance - 100% company paid premiums
Unlimited Paid Time Off
18 weeks of 100% paid Parental Leave (paternity and maternity)
401(k) plan with 6% employer matching
Generous company matching on donations to non-profit charities
Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
Plentiful snacks, drinks, and regularly catered lunches
Dog-friendly office (CAM office)
In-office gyms and showers (CAM, DC) or Equinox membership (LA, NYC)
Stipend towards commuter or gym reimbursement
Bike sharing program memberships
Compassion leave and elder care leave
Mentoring and additional learning opportunities
Opportunity to expand professional network and participate in conferences and events
Kensho uses machine learning, artificial intelligence, natural language processing and data visualization techniques to solve some of the hardest analytical problems and create breakthrough financial intelligence solutions for our parent company, S&P Global.
Kensho was founded in 2013 by Harvard & MIT alums and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.
As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion. We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, Washington D.C. and Los Angeles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Kensho is a Data Analytics and Machine Intelligence Company
Kensho deploys scalable machine learning and analytics systems across the most critical government and commercial institutions in the world to solve some of the hardest analytical problems of our time.