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TekWissen Group is a workforce management provider throughout the USA and many other countries in the world. Our client is a company operating a marketplace for consumers, sellers, and content creators. It offers merchandise and content purchased for resale from vendors and those offered by thirdparty sellers.
Job Title: Applied Scientist III
Duration: 9 months
Location: Remote
Job Type: Contract
Work Type: Remote
Job Description
As an Applied Scientist in this team, you will;
Design and implement new features and machine learned models, including the application of state-of-art deep learning to solve image processing problems.
Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
Work with internal customers to understand what image recognition is needed and apply this understanding to build the right models and solutions.
Work with leading internal and external managed workforce.
Publish and present your work at internal and external scientific venues.
You will have an opportunity to:
Working on a high-impact, high-visibility product, with your work improving the experience of hundreds of thousands of developers and millions of customers
Building human in the loop solutions at scale.
The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems.
Work closely with and learn from engineering and science leaders.
Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals
Client is committed to a diverse and inclusive workplace. It is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.Client.jobs/en/disability/us
BASIC QUALIFICATIONS
PhD or equivalent Master's Degree
Experience of building machine learning models for business application
Experience programming in Python/Spark/R and/or SQL/Hive/Pig
Proficiency in model development, model validation and model implementation for large-scale applications
Strength in clarifying and formalizing complex problems.
PREFERRED QUALIFICATIONS
PhD with specialization in machine learning, computer vision and/or natural language processing
Strong ML background and familiar with computer vision and/or natural language processing
Track record of peer reviewed publications
Expertise in at least one more major programming language (C++, Java, or similar) and at least one scripting language (Python, or similar), and one Deep Learning Framework (Pytorch, TensorFlow, MXNet, etc.)
Experience working effectively with science, data processing, and software engineering teams
Typical Day in the Role
Interaction with team:
Working closely with scientists and engineers, internally and externally
Extension:
Possible based on performance and business need.
Conversion:
Possible based on performance and business need.
Compelling Story & Candidate Value Proposition
This is a long-term opportunity and not a contract or seasonal need. The Appstore team is using a contract-to-hire framework to accelerate hiring into the organization. We want to build a pipeline of candidates who are interested in long-term career development with client.
Here are some resources you can share with candidates:
client Appstore
Why developers are choosing Appstore
client Appstore Blog
Microsoft rolls out access to the Appstore Preview in Windows 11
Candidate Requirements
Earn Trust
Leaders listen attentively, speak candidly, and treat others respectfully. They are vocally self-critical, even when doing so is awkward or embarrassing. Leaders do not believe their or their team's body odor smells of perfume. They benchmark themselves and their teams against the best.
For an L6 at client, we're looking at 5-7 years of experience.
Top 3 must-have hard skills
Communication
TekWissen Group is an equal opportunity/affirmative action Employer (m/f/d/v) supporting workforce diversity.
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