Machine Learning Engineer IV
About Ascendion
Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 11,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
- Build the coolest tech for world s leading brands
- Solve complex problems and learn new skills
- Experience the power of transforming digital engineering for Fortune 500 clients
- Master your craft with leading training programs and hands-on experience
Experience a community of change makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
About the Role:
- The ideal candidate will have industry experience working on a range of recommendations, classification, and optimization problems.
- You will bring the ability to own the whole Machine Learning life cycle, define projects and drive excellence across teams.
- You will work alongside the world s leading engineers and researchers to solve some of the most exciting and challenging problems in the industry.
Job Title: Machine Learning Engineer IV
Key Responsibilities:
- Adapt standard machine learning methods leveraging modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
- Suggest, collect and synthesize requirements from XFN teams
- Code deliverables in tandem with the engineering team
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ years of experience in software engineering or a relevant field, 3+ years of experience if you have a PhD
- 5+ years ofconsistentindustry-level experience working with Machine Learning Engineer, AI, GenAI
- 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
- Experience with scripting languages such as Python, JavaScript or Hack
- Experience with developingmachine learning modelsat scale from inception to business impact
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Experience building and shipping high quality work and achieving high reliability
- Track record of successful cross-functional partnerships
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Former FAANG or big tech
Preferred Qualifications:
- Master s degree or PhD in Computer Science or another Machine Learning-related field
- Exposure to architectural patterns of large-scale software applications
- Experience with scripting languages such as Pytorch and TF
- C++ Preferred
Location: Remote [USA]
Salary Range: The salary for this position is between $145,600 $197,600 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]
Want to change the world? Let us know.
Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let s talk!
About Ascendion
Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 11,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
- Build the coolest tech for world s leading brands
- Solve complex problems and learn new skills
- Experience the power of transforming digital engineering for Fortune 500 clients
- Master your craft with leading training programs and hands-on experience
Experience a community of change makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
About the Role:
- The ideal candidate will have industry experience working on a range of recommendations, classification, and optimization problems.
- You will bring the ability to own the whole Machine Learning life cycle, define projects and drive excellence across teams.
- You will work alongside the world s leading engineers and researchers to solve some of the most exciting and challenging problems in the industry.
Job Title: Machine Learning Engineer IV
Key Responsibilities:
- Adapt standard machine learning methods leveraging modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
- Suggest, collect and synthesize requirements from XFN teams
- Code deliverables in tandem with the engineering team
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ years of experience in software engineering or a relevant field, 3+ years of experience if you have a PhD
- 5+ years ofconsistentindustry-level experience working with Machine Learning Engineer, AI, GenAI
- 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
- Experience with scripting languages such as Python, JavaScript or Hack
- Experience with developingmachine learning modelsat scale from inception to business impact
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Experience building and shipping high quality work and achieving high reliability
- Track record of successful cross-functional partnerships
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Former FAANG or big tech
Preferred Qualifications:
- Master s degree or PhD in Computer Science or another Machine Learning-related field
- Exposure to architectural patterns of large-scale software applications
- Experience with scripting languages such as Pytorch and TF
- C++ Preferred
Location: Remote [USA]
Salary Range: The salary for this position is between $145,600 $197,600 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]
Want to change the world? Let us know.
Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let s talk!