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Tech Lead - Machine Learning

San Francisco, California
US$180000 - US$220000 per annum + Competitive Benefits
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Tech Lead - Machine Learning

San Francisco Bay Area, CA $180,000 - $220,000 + Competitive Benefits

THE COMPANY

  • COMPANY: A large and growing start up in the online internet space that is using machine learning to cater to users using personlization and recommendations.
  • TEAM: Machine learning and data science is the core part of the company. Join a strong team of 10 data scientists and 5 machine learning engineers.
  • CULTURE: Casual work environment along with a diverse and inclusive culture; flexible working hours and a work from home policy. Flexibility to work from the office in the SouthBay or San Francisco.

THE ROLE

As a Staff machine learning engineer you will…

  • Build end to end machine learning models from ideation to deployment and scalability
  • Create innovative solutions using machine learning, NLP, or deep learning for recommendations, personalization, fraud detection, or ads ranking
  • Act as tech lead on projects for one entire area within the company
  • Ensure delivery of the team and projects
  • Work directly with stakeholders and other teams

YOUR SKILLS AND EXPERIENCE

  • 4+ years of full time experience in machine learning and engineering
  • Experience with large-scale, streaming ML distributed systems
  • Extensive experience building end to end models and pushing production level code
  • Knowledge and experience in at least one of the following areas: ads ranking, search, recommendation, personalization, fraud detection, computer vision, or NLP
  • Experience leading teams is a huge plus.
  • Tools: Python, SQL, AWS, Spark, Hive

THE BENEFITS

As a Tech Lead - Machine Learning, you can expect a base salary between $180,000 to $220,000 (based on experience) plus competitive benefits.

HOW TO APPLY

Please register your interest by sending your CV to Kristianna Chung via the Apply link on this page

Apply Save job
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74892/KC
San Francisco, California
US$180000 - US$220000 per annum + Competitive Benefits
  1. Permanent
  2. Deep Learning and AI

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Three Life Science Skillsets for a Post Pandemic World

COVID-19 has reshaped the way we do business, how we interact with each other, closed and opened opportunities. Essential workers are on the frontlines and scientists work feverishly in the background to help flatten the curve and find a cure. The Life Sciences industry has seen a surge in demand, but can those needs be met in time?  New York, California, and Boston, face the highest demand and the biggest shortage of workers to fill the jobs. In Massachusetts alone, it’s estimated that though 74,000 people filled Life Science jobs by the end of 2018, there would be a need for an additional 12,000 by 2024. This was before the pandemic struck. The need is ever greater now. So, what skills do you need to enter the Biotech and Life Sciences field and if you’re in the field, how can you upskill or reskill to fill the most in demand roles?  THREE ADVANCED SKILLSETS FOR A POST-PANDEMIC WORLD Computer Vision – A subset of AI, Computer Vision can help the healthcare industry in a variety of ways. It can help identify anomalies in x-rays, help craft prediction models for things like tracking and vaccine solutions, and enhance technology workflows. Data Storytelling – One key element businesses look for in a Data professional is someone who has good data storytelling skills. The ability to translate complex numbers and statistics into something executives and stakeholders can understand is becoming ever more important and ensures sustainability of business continuity. Not only does Data Storytelling make information more digestible for non-technical professionals, it also helps business leaders to make powerful insights about where they are and what steps they need to make moving forward.Skills in Healthcare Technologies – Healthcare technology skills are in high demand. Data professionals who can use and understand medical data in real-time to get results will be highly sought after. Advanced skill sets in healthcare, biotechnology, and similar areas within Life Sciences will see a surge in demand and would be most relevant to companies now more than ever before.  Computer Vision, Data Storytelling, and Healthcare Technology skills have become three of the top skillsets needed for today’s world. Each one feeds to the other, and as important as technical skills are, it’s just as important to have soft skills. Especially now. Thankfully, both soft skills and technical skills can be taught. But there still exists a gap between school and business. Below are some ideas on how to bridge that gap. BRIDGING THE GAP BETWEEN SCHOOL & BUSINESS STEM and STEAM skills will be in higher demand now more than ever before. As important as it is to ensure students with the desire to move into these fields, it’s more important to begin with the schools. For the professionals already in the industry, there are other ways to encourage bridging the gap. Draw more students into STEM programming careers and sustain encouragement as they progress in their studies and career.Emphasize skills with a focus toward the life sciences field.Emphasize that students don’t have to choose a business career over a science career. There is crossover leading to more opportunities.And for those life long learners (read: already in the field), ensure opportunities for professional development.Find talent in other creative ways. Consider ‘non-traditional’ candidates. Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running.  In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology, and particularly biotechnology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re interested in Big Data & Analytics professional opportunities, check out our current vacancies or contact one of our recruitment 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.  

Stephanie Brooks

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Blockchain Technologies Find Fuel in the Life Sciences Industry

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