Lead Machine Learning Engineer - Team Lead

New York
US$170000 - US$190000 per annum + equity, benefits

SENIOR MACHINE LEARNING ENGINEER - TEAM LEAD

$170,000 - $190,000

New York City

A high-growth SaaS start-up is looking for an experienced end-to-end machine learning engineer with a strong software background to grow out & lead a team of bright engineers.

THE COMPANY

You would be working for a well-funded SaaS start-up on the brink of exponential growth. They have multiple patents on their software, which utilizes AI for optimizing project management. They currently own the domain and attribute their success to the quality of their product which they maintain through rigorous test coverage.

THE TEAM:

You would be on a multidisciplinary team that works closely together. The team members are passionate about coding, artificial intelligence, and advanced techniques in deep learning.

THE ROLE:

You would be leading a small team of bright machine learning engineers. Some of your responsibilities would be:

  • Building end-to-end machine learning features to integrate into the product
  • Proof of Concept (POC) feature ownership to help decide the feasibility of projects
  • Mix advanced deep learning concepts with traditional approaches
  • Come up with new AI-based features that are deployable to real customers
  • Track cutting-edge ML trends to create new research areas in ML algorithms development
  • Help develop a strategy for the long term growth of the company

YOUR SKILLS AND EXPERIENCE:

  • Ph.D. or MS in a STEM field - Electrical Engineering, Computer Science, Mathematics etc.
  • Significant industry experience building & deploying ML models (must be end to end)
  • Produced production code with user traffic
  • Experienced in Deep Learning Frameworks - Tensorflow, Keras, etc.

THE BENEFITS:

The successful Senior Machine Learning Engineer will earn a base salary of $170,000 - $190,000, a lucrative equity package, and a comprehensive benefits package

HOW TO APPLY:

Please register your interest by sending your CV to Nitasha Khazanchi via the Apply link on this page.

KEYWORDS: Software Engineer, Machine Learning Engineer, Coding, Deep Learning, Tensorflow, Keras, PyTorch, Artificial Intelligence, SaaS, Startup, User Traffic, Model Deployment

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NK/112059
New York
US$170000 - US$190000 per annum + equity, benefits
  1. Permanent
  2. Deep Learning and AI

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Technology is constantly changing our world and our place in it. For some, it is a boon. For others, a bust. But it is working to pull the two together in an always-on, ever-in-demand world. As trite as this may sound, the remote work and virtual schooling lifestyles to which we’ve become accustomed are offering an opportunity of sorts. We’re all coming out regardless of our shape, size, or who we love. When Technology is a Friend  Before there was the internet, social media, and apps for everything, life was focused on location. But as computers left schools and popped up in our homes and in our hands, suddenly we had access to everything and anyone we might need to reach. Suddenly, alternative voices had a platform. A rallying cry for inclusion, for services, and for equal rights. With the internet, those in the LGBT community could find friends, partners, and the opportunity share experiences and frustrations with those who might best understand. The Road Ahead  As important as the rise of the internet, social media, and apps have been for the LGBT community. It’s had its downside, too. Consider such issues as electronic health care, security, cyberbullying, and privacy. But there are influencers and new devices being created every day. As the pandemic wears on, wearable devices, telehealth and chatbot services, as well as a new drive for inclusion in business regardless of one’s gender may just be the turning point to move the world forward. When it comes to business, there can be an unintended consequence of trying to put everyone in the same box. Which would make everything easier, right? Except humans are different in every imaginable way. Its what brings out the creativity, the ideas, the devil’s advocates, and the pushing the envelope to create better. We forget, more often than not these days, that humans are not machines. It’s time to let the machines know this, too. LGBTQ and STEM  Science. Technology. Engineering. Math. Each word brings to mind a certain type of person. Usually, male. Usually, white. But there are so many who are involved in a STEM field in one way or another and they are of every color and every gender. Pronouns, included. Just think, the more diverse your team is how much more innovative, productive, and creative your product or service could be. Ways to address the problems include: Forming societiesFunding agenciesNetworking opportunitiesOrganizational support The Trouble with AI Not long ago, Stanford University conducted a controversial study in an effort to teach AI how to distinguish using facial recognition whether someone is gay or lesbian. Why a machine needs to define gender roles is a haunting and dangerous question. Facial recognition software from our IDs to medical records, security devices, privacy laws and more are supposed to protect the people who use them. So, over the last 20 years or so, the LGBTQ community has been able to come out of the shadows. From Alan Turing, the father of theoretical computing to Tim Cook, Apple’s CEO, the tech world’s leaders are becoming increasingly diverse. Add in Ana Arialo, Gina Trapani, and Ann Mei Chung, and tech is humming along under the direction of these pioneers in tech from the LGBTQ community. It’s Pride Month! Take pride in all you do, in who you are, and if you’re looking for your next role in Big Data and Analytics, Harnham may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.   If you’re interested in learning more about ways technology and the LGBT community have changed over the last 20 years, we invite you to check out these resources: https://www.pbs.org/wgbh/americanexperience/features/stonewall-milestones-american-gay-rights-movement/ https://www.channelfutures.com/diversity-inclusion/pride-month-recognizing-lgbtq-pioneers-in-tech https://hopelab.lgbt/about https://advances.sciencemag.org/content/7/3/eabe0933.full https://www.weforum.org/agenda/2020/11/heres-how-technology-has-changed-and-changed-us-over-the-past-20-years/

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