Senior Machine Learning Engineer

Sunnyvale, California
US$180000 - US$200000 per annum

SENIOR MACHINE LEARNING ENGINEER
$180,000-200,000
SAN FRANCISCO-BAY AREA

Are you looking to join a cutting-edge technology company in the Bay Area? Are you looking to work in a dynamic environment with top quality team members? Want to push yourself while learning from strong mentors who give you the ability to experiment and branch out?

THE COMPANY:

As a Senior Machine Learning Engineer, you will be working within a team alongside Data Scientists and Data Engineers. Together, you will be working to help innovate within an already exploding sector. With a company focus on integrity and drive they place a big emphasis on work life balance.

THE ROLE:

As a Senior Machine Learning Engineer, you can expect to work hands on helping work on machine learning models and to deploy and apply these models to help understand and predict mechanisms within the field. You will be disrupting an industry with huge growth potential and will be dealing with large amounts of data.

In specific, you can expect to be involved in the following:

  • Build machine learning models end to end
  • Select appropriate data sets, prepare training data, perform statistical analyses, and develop machine learning applications
  • Work collaboratively within a team.

YOUR SKILLS AND EXPERIENCE:

The successful Senior Machine Learning Engineer will have the following skills and experience:

  • Recommendation and personalization experience
  • Degree
  • Non internship Industry Experience
  • Experience building machine learning models end to end to deployment
  • Ability to work well within a team.

THE BENEFITS:

The Senior Machine Learning Engineer will receive a salary, dependent on experience between $180,000 and $200,000. On top of the salary:

  • A tight-knit passionate team
  • Full Medical
  • Commuter Benefits
  • Company Events
  • Generous PTO

HOW TO APPLY:

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

Send similar jobs by email
33657RS
Sunnyvale, California
US$180000 - US$200000 per annum
  1. Permanent
  2. Data science

Similar Jobs

Salary

US$140000 - US$170000 per annum

Location

Boston, Massachusetts

Description

This B2B powerhouse uses machine learning and the power of data to innovate the way we extract information from the internet.

Salary

US$140000 - US$170000 per annum

Location

New York

Description

This NYC startup is looking for a Data Scientist focused on causal inference to help pioneer the reduction of misdiagnoses in the medical space

Salary

US$170000 - US$190000 per annum

Location

Portland, Oregon

Description

Join a team of dedicated Data Scientists as they revolutionize a major global brand's consumer engagement through data-driven strategy!

Salary

US$160000 - US$185000 per annum + Amazing Benefits

Location

New York

Description

Opportunity for a top of the line Causal Inference specialist to cut their teeth into some of the toughest and most creative problems in Data Science.

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.

Harnham Launch 2020 Data & Analytics Salary Survey

Harnham Launch 2020 Data & Analytics Salary Survey

I'm excited to announce the launch of our 9th annual Salary Survey.  Covering salaries, diversity, benefits and technologies, our published Salary Guide is known for reflecting and driving trends within the Data & Analytics industry. As ever, we can't put together our guide without your input, so we are extremely grateful to everyone who is able to take part.  This year, one participant will win a £500 Amazon Voucher (or an equivalent amount in your local currency). You can read all the terms and conditions for this here.  The survey takes around 10 minutes and we would love to hear your thoughts. All submissions are 100% confidential and will only be used to provide an overview of the industry as a whole.  You can choose the survey relevant to you below: UK Survey US Survey EU/EEA Survey In the meantime, you can download a copy of last year's completed Salary Guide here.  We look forward to sharing our latest results with you later in the year. 

HRtech Gets A Mindset Shift In 2020

HRTech Gets a Mindset Shift in 2020

Recent editor picks on LinkedIn highlight how jobs will change in the future. But as changes come, there are a dizzying array of tech advancements, products, and more in the job market landscape.If you’ve been looking through the telescopic lens of the Digital transformation and wonder, what’s next? Well, we may have a role for you. If you’re a business and wonder what’s next, we have some ideas to help you identify, hire, and retain top talent within the Data professional industry. Setting a Mindset Shift We have reached a time in which simply adding the word “tech” to something has shifted. Thinking digitally, or the Digital transformation combines the why with who, how, and which. Who does our technology impact, how will it change how they work, and which advancement is best suited to answer the call?  Below are just a few things to consider when developing your: Recruitment is a process, not a transaction. Interaction instead of reaction.Factor in not only human skills, but machine skills as well.Make employee experience a priority. Experience leads to Data which leads to Insights.Artificial Intelligence and Machine Learning have a wider role to play within the recruitment space.Base software selection decisions on user experience. Include everyone who will use the software in both the vendor demonstration and the decision process.Seek references from vendors to foster trust and connect with other organizations.Cloud based solutions far outweigh non-cloud solutions in today’s business climate. These are just a few suggestions to consider as you rethink your HR strategies. Incorporating technology with the human element is a new road for many businesses and essential for the future of work.  Design for Data and Insights Whether you’re talking about the employee experience or the customer journey, it’s important to design the process to generate Data. When you use design thinking, you put people at the center and from there can measure the variables which offer insights into thoughts and feelings. When you know these answers, you can always be improving and optimize for success.  As you consider what to invest in next, remember to think about the Data first. Use your workforce insights to determine the best way to move forward and understand how people impact your business. Measure effectiveness, but understand workforce insights go hand-in-hand with delivery. Rather than operating individually in a separate silo, everything is interconnected, just like in our day-to-day lives. It’s this connectedness which is the greatest shift. From our phones, our iPads, our laptops, and so on, we are able to tap into workforce solutions and find at its center a structurally sound HR strategy to ensure next gen talent is identified, hired, and retained. While we often speak of what you can do to retain your top talent, another focus might be how you communicate with leadership. To ensure everyone is on the same page, it’s important to be sure messaging is consistent across your organization. It’s this messaging along with new systems and strategies in which training and education play an even bigger part than in the past. There’s so much to learn and it comes so fast, that adoption of new technologies must be thought out in advance. Try to avoid chasing the next shiny object or new advancement and have a plan in place for staff and stakeholders to follow. Setting your top priorities now, as we enter a new decade of Data, can help ensure you’re proactive in your business strategy, not reactive. If you’re interested in AI, Big Data and Digital or Web Analytics, we may have a role for you. Check out our current opportunities or get in touch with one of our expert consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

Recently Viewed jobs