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Senior Deep Learning Software Engineer

San Jose, California
US$243850 - US$292620 per annum + + Bonus and Equity
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SENIOR DEEP LEARNING SOFTWARE ENGINEER

$200,000-$240,000 + BENEFITS AND BONUS

SAN JOSE, CA

This is a really interesting opportunity for an experienced deep learning software engineer interested in joining a global leader in their industry. If you are interested and experienced in AI and creating deep learning models, then this could be the role for you. This is an exceptional role to grow and build upon existing experience working with machine learning by working with a proven team.

THE COMPANY:

As a deep learning software engineer, you will be working as part of an outstanding team for a global leader in the industry. The company is constantly looking to grow and expand to continue developing their already proven teams and business. You will have the opportunity to work on fascinating projects and grow your skills.

THE ROLE:

  • Work to help design and manufacture products and technologies
  • Optimize and create deep learning models using python and C++
  • Influence GPU hardware capabilities for AI
  • Collaborate with industry leaders to develop technical leaders

YOUR SKILLS AND EXPERIENCE:

  • Experience working with machine learning or AI
  • Proven experience with python, C++ as well as deep learning frameworks like TensorFlow and Pytorch
  • Knowledge in optimizing GPU/CPU clusters
  • PhD in a quantitative discipline such as: Statistics, Mathematics, Computer Science or Engineering (Master's degree + relevant experience considered)
  • Knowledge of any of the following optimization techniques - quantization, neural net compression, and/or neural architecture search (NAS)

BENEFITS

  • Salary (annual): $200,000-240,000
  • Bonus: $28,000-32,000

HOW TO APPLY

Please register your interest by sending your resume to Avery Nork via the apply link on this page

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102734/AN-3
San Jose, California
US$243850 - US$292620 per annum + + Bonus and Equity
  1. Permanent
  2. Software Engineer

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CRO: Getting Customers Past Your Digital Door

Conversion Rate Optimization. CRO. If you’re an established business just getting on the technology track to improve your business, these words and acronyms can sound difficult and confusing. So, let’s put things a little simpler. Your website is your digital doorway to your business. Your service is your digital handshake. When you’re able to meet with customers face-to-face, you can get a firmer grasp on their likes and dislikes. You get to know your customers over time, they get to know you, and you begin to learn what the want so you can improve your business. If you’re a startup, you’ve opened your business because perhaps you’ve been a customer and saw a need no one could fill but you.  Whichever type of business you are, when you make changes to your website to improve your customer experience, you’ve worked through conversion rate optimization, though you may not have realized at the time. What is Conversion Rate Optimization? 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So, knowing this there are a few things to keep in mind. ABT – Always Be Testing. This is a circular exercise in keeping up with the Jones’s of business. The more you know about your site, your goals, and your customers needs, your improvements can help to generate leads and increase sales. OTE - Optimize the Experience. When setting your goals, you’ll want to consider three goal types and set one or more. The first is to ask yourself, what do you want to happen immediately? If you want more clicks or views, this is an immediate goal. If you have a finite amount of time to generate leads, say fourth quarter of a given year, you may wish to set a campaign goal. And if you want to project net revenue or lead quality, you’ll want to set a long-term goal. Ready to optimize your conversion rate in your job search? Harnham may have a role for you. If you’re interested in the Digital Analytics, Data & Technology, or Machine Learning just to name a few, Harnham may have a role for you. 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According to Brigette Hyacinth’s 2017 book entitled, The Future of Leadership, the author suggests this when considering the ramifications of AI. “Using AI to improve efficiency is one thing, using it to judge people isn’t something I would support. It violates the intention on the applications of AI. This seems to be social prejudice masquerading as science…” How often have big tech companies backtracked their facial recognition software? What are the ethical implications of moving forward and leaving AI unchecked and unregulated? 2020 was in no way a traditional year amassing change on our daily lives at near lightspeed, or so it seemed. But what was brought to bear were unrest and tensions boiled to the breaking point. And when you look at it from the perspective of AI in our daily lives. What might the world look like in another year? When Social Sciences and Humanities Meets AI “To err is human, to forgive, divine.” Humans make mistakes. 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