Machine Learning Engineer

Newknowledge Austin , TX 78719

Posted 3 months ago

You're looking for a role where you can drive decisions, be challenged and build a powerful and novel product. You want to collaborate with smart, creative, and energetic people. You're comfortable with being uncomfortable. You look for projects where you can learn new technologies and techniques. You thrive in an environment based on autonomy and trust. You're creative. If this sounds like you, you sound like someone we want on our team.

New Knowledge is a fast-growing technology company on a mission to defend public discourse. We use AI and machine learning to protect brands from disinformation attacks and are revolutionizing the way communities, companies, and industries respond to the spread of disinformation. We are led by successful entrepreneurs, NSA veterans and disinformation industry experts. Current clients include Fortune 100 customers across a number of industries and our investors include Moonshots Capital, GGV Capital and Capital Factory.

We're looking for a Machine Learning Engineer with 3 or more years of experience. This role will be based out of our Austin office, will report to the Director of AI Research.

What you'll do:

  • Work with data scientists to deploy and build machine learning models

  • Interface with research teams to help build APIs to make our models accessible

  • Understand how machine learning models work, and how they could possibly apply

  • Build test frameworks to ensure reliable prediction outputs

  • Interface with Devops to build deployment tools to automate ML model deployments

What you have:

  • You're comfortable coding, and have a strong technical foundation

  • You're interested in working with, and understanding machine learning models

  • You're comfortable with Python

  • You have a passion for learning

  • You've had 3+ years experience developing and deploying machine learning model pipelines at scale in a fast-paced startup environment

  • Preferably you enjoy working with academics or have a research background

  • You're enjoy working with, and learning from academics

  • You're comfortable experimenting, and care about building reliable software

  • You're creative and tenacious - you don't give up

  • You understand the value and enjoy working as a part of a team

  • Building cool things that work excites you

  • You thrive off the energy and pace of a small team

  • You're adaptable and looking for new things to work on

What you'll get:

  • Purpose-driven work

  • Market-leading salary and equity compensation

  • Coverage under best in class, flexible medical, vision and dental plans

  • 401(k) with 100% company match up to 4% of salary and immediate vesting

  • Unlimited vacation that you're encouraged to take, including paid parental leave

  • Stocked kitchen full of healthy snacks and drinks

  • Weekly catered lunch

  • Free parking near our downtown office

  • Free membership to onsite gym

  • Annual budget to purchase books and educational subscriptions

  • Monthly social events

  • Many more benefits apply to find out!

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Machine Learning Engineer


Posted 2 days ago

VIEW JOBS 8/19/2019 12:00:00 AM 2019-11-17T00:00 <p><strong>Job Summary:</strong></p> <p>Cerity is a spinoff that is building a new technology innovation center in Austin. The innovation team is a group of thought leaders who are designing, building and implementing new and creative SaaS solutions. </p> <p>As a Machine Learning Engineer, you will be responsible for developing solutions and deploying production code to address the current business needs. You will also be tasked with research and development activities that are forward thinking and somewhat unconventional. </p> <p>Your responsibilities will range from building the systems/platforms needed to host the Machine Learning/Deep Learning/Reinforcement Learning algorithms to production hardening the algorithms created by our Data Scientists.</p> <p>To do this job successfully, you will have needed prior work experience deploying ML/DL/RL algorithms into a production environment. </p> <p><strong>Responsibilities</strong></p> <ul> <li>Transform Data Science prototypes to production-grade solutions at scale</li> <li>You will be expected to lead from the front in following best practices in development and CI/CD methods. </li> <li>You will also be expected to be a strong independent contributor that is not afraid to implement/deploy the solutions (even if that means making mistakes). At Cerity, we believe that the only way to really learn something is to stumble a few times.</li> <li>Design, code and deploy machine learning systems capable of processing large volumes of data</li> <li>Research and implement appropriate ML algorithms and tools</li> <li>Develop machine learning applications according to requirements</li> <li>Establish reusable data processing pipelines to enable rapid re-training and iteration through different ML methodologies</li> <li>Select appropriate datasets and data representation methods</li> <li>Design experiments and analysis methodologies that are statistically rigorous</li> <li>Run machine learning tests and experiments</li> <li>Perform statistical analysis and fine-tuning using test results</li> <li>Train and retrain systems when necessary</li> <li>Extend existing and Cerity Proprietary ML libraries and frameworks</li> <li>Keep abreast of developments in the field</li> </ul> <p><br></p><p><strong>Requirements</strong></p><ul> <li>Proven experience as a Machine Learning Engineer. Must have held a Machine Learning Engineer Title in a previous role.</li> <li>Understanding of data structures, data modeling and software architecture</li> <li>Experience deploying ML and DL algorithms for regression and classification use-cases</li> <li>Deep knowledge of math, probability, statistics and algorithms</li> <li>Ability to write robust code in Python, Java and R</li> <li>Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)</li> <li>Experience setting up systems/frameworks (e.g., Docker and Kubernetes) within AWS</li> <li>Excellent communication skills</li> <li>Ability to work in a team</li> <li>Outstanding analytical and problem-solving skills</li> <li>BSc in Computer Science, Mathematics or similar quantitative field; Master’s degree is a plus</li> <li>Experience with Falcon is a bonus!</li> </ul> Cerity Austin TX

Machine Learning Engineer