What are the responsibilities and job description for the Senior Software Engineer, Machine Learning position at Kforce Technology Staffing?
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Software Engineer, Machine Learning in Brooklyn, NY.
About The Team:
The Risk Decisioning team keeps Company a safe and trusted marketplace by building advanced and scalable ML technologies to detect and prevent risk and fraud. We currently have 8 Engineers on the team, with a mix of ML Engineers, Applied Scientists, and Full Stack Engineers.
About The Role:
We are looking for someone who is passionate about applying ML to deliver customer impact and have the domain expertise and vision to serve as the team's technical leader in ML. Our work addresses pressing, real-world problems, including detection of transactional fraud, fake account creation, collusion fraud, and more. As a member of the engineering team, this role is a great opportunity to collaborate with Senior ML professionals on large-scale projects protecting millions of users.
Typical Responsibilities include:
* Solve customer and business problems (protecting against seller fraud, transactional fraud, account takeover, fake accounts, etc.) using machine learning techniques like graph ML, deep neural networks, and anomaly detection
* Take ideas and scale them to millions to users; Develop and implement end-to-end plans, including idea generation, project planning, model development, production model serving, and ownership of model performance
* Architect new and improve on existing ML systems, including building data architectures (e.g. large-scale graph data processing and storage), enabling faster and more robust model development, and improving model serving and orchestration
* Provide technical leadership on long-term strategy, roadmap, ML design, and system architecture
REQUIREMENTS:
* 3 years of experience building ML models in the fraud/risk management space
* Experience deploying, debugging, and fine-tuning machine learning models in large-scale production systems in public clouds, with experience in Infrastructure as Code
* Airflow
* Credit risk management
* Excellent Python programming skills
* Fraud Detection
* Machine Learning Algorithms
Nice To Have:
* BigQuery
* Dataflow (Apache Beam)
* Google Cloud Platform (Google Cloud Platform) for Machine Learning
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client that is seeking a Senior Software Engineer, Machine Learning in Brooklyn, NY.
About The Team:
The Risk Decisioning team keeps Company a safe and trusted marketplace by building advanced and scalable ML technologies to detect and prevent risk and fraud. We currently have 8 Engineers on the team, with a mix of ML Engineers, Applied Scientists, and Full Stack Engineers.
About The Role:
We are looking for someone who is passionate about applying ML to deliver customer impact and have the domain expertise and vision to serve as the team's technical leader in ML. Our work addresses pressing, real-world problems, including detection of transactional fraud, fake account creation, collusion fraud, and more. As a member of the engineering team, this role is a great opportunity to collaborate with Senior ML professionals on large-scale projects protecting millions of users.
Typical Responsibilities include:
* Solve customer and business problems (protecting against seller fraud, transactional fraud, account takeover, fake accounts, etc.) using machine learning techniques like graph ML, deep neural networks, and anomaly detection
* Take ideas and scale them to millions to users; Develop and implement end-to-end plans, including idea generation, project planning, model development, production model serving, and ownership of model performance
* Architect new and improve on existing ML systems, including building data architectures (e.g. large-scale graph data processing and storage), enabling faster and more robust model development, and improving model serving and orchestration
* Provide technical leadership on long-term strategy, roadmap, ML design, and system architecture
REQUIREMENTS:
* 3 years of experience building ML models in the fraud/risk management space
* Experience deploying, debugging, and fine-tuning machine learning models in large-scale production systems in public clouds, with experience in Infrastructure as Code
* Airflow
* Credit risk management
* Excellent Python programming skills
* Fraud Detection
* Machine Learning Algorithms
Nice To Have:
* BigQuery
* Dataflow (Apache Beam)
* Google Cloud Platform (Google Cloud Platform) for Machine Learning
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $90 - $95
