2

Remote Algorithms Engineer Jobs in Georgia (NOW HIRING)

Principal Data Scientist

Atlanta, GA · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... In this role, you will collaborate closely with ML software engineers, product managers, and other ...

New

This is a remote opportunity, must be located in United States. As an Appian Architect you will ... As a member working in a team environment, you will work with technical leads and developers to ...

next page

Showing results 1-20

Remote Algorithms Engineer information

What are the key skills and qualifications needed to thrive in the Remote Algorithms Engineer position, and why are they important?

To thrive as a Remote Algorithms Engineer, a strong background in computer science, mathematics, and algorithm design—often demonstrated by a relevant degree or experience—is essential. Familiarity with programming languages like Python, C++, or Java, and tools such as Git, as well as knowledge in areas such as machine learning libraries or optimization frameworks, are typically required. Excellent problem-solving abilities, self-motivation, and strong written communication skills help remote engineers collaborate effectively across distributed teams. These skills ensure efficient development, collaboration, and deployment of robust algorithmic solutions in a remote work environment.

What is a Remote Algorithms Engineer job?

A Remote Algorithms Engineer designs, analyzes, and optimizes algorithms to solve complex computational problems while working remotely. They develop efficient solutions for data processing, machine learning, optimization, and other technical challenges. This role typically involves implementing algorithms in programming languages like Python, C++, or Java, optimizing performance, and collaborating with distributed teams. Remote engineers use tools like version control systems, cloud computing, and communication platforms to stay connected. Strong problem-solving skills, mathematical knowledge, and coding expertise are essential for success in this role.

What are the typical daily responsibilities of a Remote Algorithms Engineer?

As a Remote Algorithms Engineer, your typical day will involve designing, implementing, and testing algorithms to solve complex technical problems, often as part of cross-functional projects. You will frequently analyze data, optimize existing code, and collaborate with engineers, data scientists, or product managers through virtual meetings and code reviews. Documenting your work and communicating progress in a clear, organized way is crucial in remote settings to ensure alignment with team goals. Additionally, staying updated on new algorithmic techniques and continuously improving your skills can help drive innovation and personal growth in this role.

What cities in Georgia are hiring for Remote Algorithms Engineer jobs? Cities in Georgia with the most Remote Algorithms Engineer job openings:
Principal Data Scientist

Principal Data Scientist

Worldpay

Atlanta, GA • On-site, Remote

$165K - $249K/yr

Full-time

Posted 3 days ago

New


Job description

Job Description

This position is not eligible for visa sponsorship, now or in the future.Candidates must be a US Citizen or Green Card Holder

This position is remote in the Greater Boston AreaonlyORhybrid 3 days per week inoureither ourCincinnati, OHor Atlanta, GAoffice.

Ready to take your careerglobal?

Make your mark at one of the biggest namesinpayments.We areseekingan experienced and visionaryPrincipal Data Scientisttohelp scaleour Data Science and AI team. In this role, you will collaborate closely with ML software engineers, product managers, and other product delivery teams to build ML models and data-driven algorithms into robust, scalable, and production-ready products that optimize the end-to-end payment process. You will act as payment subject matter expert and applystrong systemand product thinking to create new product concepts, influence and build development roadmaps, design intelligent decision engines, drive cross functionalinitiativesand mentor senior DS/ML engineers.You will balance strategic leadership with hands-on technical contribution, dividing your time between setting technical direction and activelyparticipatingin architecture, design reviews, code reviews, and selected implementation efforts.

Whatyou'llown

Strategy and vision:

  • Define the technical vision and strategy fornew data driven productinitiativeswith a focus onend-to-endpayment optimization, aligning them with business goals.

  • Develop scalableand reusablecapabilities to power real-timemachine learningmodels(classification, ranking and optimization),enable rapid experimentationat scale, andsupportcontinuousmonitoringof MLproducts.

Technical contributionandleadership:

  • Overseeandparticipatehands-on intheconceptualization, development, production deployment, operation,validation,and maintenance of ML models andmodel updatesystems.

  • Establish and ensure adherence to best practicesforMLmodeling.Stay abreast of industry trends and emerging technologies in MLand payment optimization, drivingadoptionofmodern tools, frameworks, and infrastructure.

  • Foster a culture of innovation,experimentationandcollaboration.Mentoran elite team ofdata scientists

Cross-functional collaboration:

  • Partner with product, engineering, data, and compliance teams to integrate ML into products.Communicate complex technical concepts clearly to both technical and non-technical audiences.

  • Collaborate with other Data Science leaders toestablishan operating model for machine learning R&D thatoptimizesend-to-end delivery of business value.

Whatyou'llbring

  • Bachelor's or master'sdegree in computer science, Statistics, Mathematics, Engineering, or related field (PhD preferred)

  • 7+ years in ML research orengineering;5+ years building large-scale, real-time ML systems in production,includingsignificant experiencehands-on

  • Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ML lifecycle and experimentation processes

  • Proficiencyin Python (Pandas, NumPy, scikit-learn),strong SQL and database experience (NoSQLand/orgraph database experience isa plus)

  • Demonstrated ability to lead solution designand execution,translatingcomplex business requirements into actionable technology solutions

  • Exceptional verbal and written communication skills, with the ability to influence and collaborate effectively across technical and business audiences at all levels, including executive leadership

It'sa bonus if you have

  • Experience in payments, fintech, or financial services

  • Knowledge of payment systems (authorization lifecycle, tokenization, fraud/risk, real-time payments)

  • Experience with cloud platforms (e.g., AWS,GCP,Snowflake, Databricks, Vertex AI)

  • Agile development experience

  • Experience in large companies, mature ML teams, and/or highly regulated industries

About the team

Our inclusive and global teamswintogetherevery day.We'reproud to have the best minds in the industry, who you can learn from as you grow your career.The people, the energy, the connections -it'sunmatched.Come and be part of an ever-evolving companyand get dynamic opportunities that go beyond borders.

What makes aGlobalpayer?

Globalpayersthink like a client, act like anownerand win as one team.We'recurious andinnovative - always finding better ways to deliver impact.We empower each other to make decisions,andit'sour passion that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like aGlobalpayer. Apply now totake your careerglobal.

#LI-AD1


Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $165,300.00-$249,675.00. This range reflects what we reasonably expect to offer based on the role's responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate's experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.

EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.