About the company 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.
Do they allow remote work?
Remote work is possible, see the description below for more information.
Job description
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. We produce a suite of AI-powered solutions that solves the challenges of the largest, most successful businesses and institutions, helping them make sense out of a world full of messy data.
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
OpenFST
Elasticsearch
Required Skills, Knowledge & Experience
You have 3+ 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
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
- 26 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)
- 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
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