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Machine Learning Head Jobs (NOW HIRING)

Umba

Machine Learning Lead

San Francisco, CA · On-site

You find satisfaction in a job well done and want to solve head-scratching challenges * Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision ...

Gametime United

Head of Applied Machine Learning

OR · On-site +1

Position Summary Gametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across ...

Gusto

Head of AI and Machine Learning Engineering

They are seeking a strategic Head of AI and Machine Learning Engineering to lead the development and implementation of AI/ML systems that enhance customer experiences and improve operational ...

Jobless

Position Summary Gametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across ...

Gametime United

Head of Applied Machine Learning

Position Summary Gametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across ...

Arlo

Head of Data & Machine Learning

New York, NY · On-site

The Opportunity As Head of Data, you own Arlo's most critical engineering infrastructure: the ... It allows for efficient training of large scale machine learning models, but it also has to serve ...

Arlo

Head of Data & Machine Learning

New York, NY · On-site

The Opportunity As Head of Data, you own Arlo's most critical engineering infrastructure: the ... It allows for efficient training of large scale machine learning models, but it also has to serve ...

CRC Group

Machine Learning Engineer

Charlotte, NC · On-site

## Machine Learning EngineerApplylocations: Charlotte NC - 600 S Tryon St.: Morrisville NC, 3015 ... Partner with the Head of ML, product and data teams to define and implement the company-wide ML ...

6sense

Sr. Machine Learning Engineer

San Francisco, CA · Remote

$200K - $260K/yr

The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI team, reporting directly to the Head of AI. Signals tell you what happened. Our job is to explain why - and that is the ...

Voltai, Inc

Machine Learning Engineer

Palo Alto, CA · On-site

We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of ...

Voltai

Machine Learning Engineer

Palo Alto, CA · On-site

We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of ...

Voltai

Machine Learning Engineer

Palo Alto, CA · On-site

We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of ...

6sense

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$200K - $260K/yr

The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI team, reporting directly to the Head of AI. Signals tell you what happened. Our job is to explain why - and that is the ...

Onyx

Machine Learning Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy You'll be successful if you... * Have 3+ years of AI ...

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Machine Learning Lead

San Francisco, CA • On-site

Umba
Finance and Insurance • 11 - 50 employees
Learn more about Umbaexternal

Full-time

Re-posted 3 days ago

Job description

Company introduction
Our mission at Umba is to use machine learning to allow us to create intelligent, affordable financial products for emerging markets.
Umba launched into the Kenyan market in November 2018, and offers a number of digital banking products to its users through an Android App.
This platform uses machine learning and big data to build credit scores to optimize risk exposures and allows users to apply, receive and repay microloans and through their smartphone.
Once a user creates an account we validate their information and make lending decisions based on the information they give us and hundreds of data points we take from their smartphone with their permission.
Our machine learning models are in a state of constant improvement and we use AI and automation to deliver the lowest cost banking solutions for our growing customer base. We have built out a large data collection platform, with our data warehouse storing over 100m rows of data for accurate credit scoring.
Job Description
We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
Our most complex system is our risk model, your day to day will include feature generation and model training using machine learning techniques, developing A/B testing procedures, implementing automated model retraining and creating new projects based on your findings.
You will be working with a small, but highly technical team. We have 170,000 users and work to ensure continuous uptime, and constant improvement. We train and deploy new machine learning models regularly and subscribe to data driven decision making, you will not be just an implementer, but a valued opinion at the table.
Responsibilities
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company's data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications
  • At least 2 years of recent hands-on coding and software design
  • A track record of projects completed on time - you are a flawless executor, not a procrastinator
  • You find satisfaction in a job well done and want to solve head-scratching challenges
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Experience with machine learning frameworks such as Scikit-Learn and Tensorflow
  • Experience with data visualisation tools, such as D3.js, GGplot, Matplotlib etc.
  • Experience with relational databases such as Postgres, MySQL etc.
  • Proficiency in using query languages such as SQL
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills are a bonus
  • Data-oriented personality
  • Great communication skills
  • You're so much fun to work with, that if you were working on the weekend, we'd want to join you.

Apply