Sr. Software Engineer II, Machine Learning

unlimited holidays - extra parental leave - fully flexible
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

MS in Computer Science, Statistics, Math, Science, Engineering, or a related field with 5+ years of industry experience., Strong machine learning skills and experience with Python, PyTorch, TensorFlow, Pandas, and NumPy., Experience working with large-scale data (TB) in production environments and building data pipelines using tools like Spark., Proficiency in software engineering, coding, and understanding of probability, statistics, and algorithms..

Key responsibilities:

  • Design and deploy machine learning algorithms for various use cases such as e-commerce and consumer trends.
  • Work with large unstructured data and real-world consumer data for tasks like NLP, image classification, and user modeling.
  • Build frameworks, tools, and methodologies to enhance team productivity and impact.
  • Provide thought leadership through high-quality documentation, reviews, and strategic vision.

Narvar logo
Narvar Computer Software / SaaS Startup https://corp.narvar.com/
201 - 500 Employees
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Job description

Narvar is growing! We are hiring a Senior Software Engineer II to build new products and improve all aspects of the Narvar platform. Data is at the core of our competitive advantage so the work you do has a large impact across the company, our business partners, and the lives of our end users.

Machine Learning Engineers at Narvar work across the stack. We are ‘fullstack’ ML Engineers. This means that we write productionlevel code and own machine learning operations for our teams.

Daytoday
  • Design and deploy machine learning algorithms for use cases spanning ecommerce, consumer trends, markets, logistics, and new products
  • Work on realworld consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc
  • Work with large unstructured data
  • Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work
  • Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies that the entire team use
  • Provide thought leadership to a team through high quality writeups, reviews, and a strong vision grounded in practical experience and a wider industry view
    • What we’re looking for
      • Strong machine learning skills.
      • Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages
      • Data Engineering skills and large data experience. You should have dealt with large amounts of data (TB) in a production setting, built world class data pipelines using cutting edge tools (e.g. Spark).
      • 10+ years of handson experience shipping models to production, working on a variety of problem spaces (eg: user modeling, spam classification, prediction, clustering etc)
      • MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience
      • Strong software engineering and coding skills with the ability to write production quality code
      • Strong understanding of probability & statistics, machine learning, and algorithms
      • Experience with SQL and NoSQL databases
      • Experience working with Linux, shell scripting
      • Previous startup experience strongly preferred
        • Bonus Points
          • Experience implementing applications on Google Cloud Platform
          • Experience with deep generative models or graph learning a plus.
          • Tag your application with your solution to an active recently concluded Kaggle competition, to get ahead of the list :)
          • Experience leading a team of data and data scientists; Strong ability to multiply the effect of the team and the team members; excellent written communication; selfstarter that can balance sophistication with practicality
            • Why Narvar?

              Were on a mission to simplify the everyday lives of consumers. Postpurchase is a critical phase of the customer journey. Thats why we created Narvar a platform focused on driving customer loyalty through seamless postpurchase experiences that allow retailers to retain, engage, and delight customers. If youve ever bought something online, theres a good chance youve used our platform!

              From the hottest new directtoconsumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, weve served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

              Pioneering the postpurchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. Were a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

              We are an equalopportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

              #LIRemote

              Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits.
              The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Team Leadership
  • Communication
  • Problem Solving

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