2229 IT & Software Developer jobs in the US
Be among the first 5 applicants!
Principal Applied Scientist/Machine Learning Engineer
315,000 - 350,000 USD
Rokt
Dr Carlton B Goodlett Place 1, San Francisco
315,000 - 350,000 USD
Requirements
Must:
We are looking for candidates with the following qualifications:
- PhD or Master’s in Computer Science, Statistics, Mathematics, or a related field with specialization in ML, AI, or Information Retrieval.
- 10+ years of industry experience in building production-grade ML systems.
- Deep expertise in at least two of the following areas:
- Reinforcement Learning (Bandits, Policy Optimization)
- Multi-Task Learning & Mixture of Experts (MMOE, PLE, DCN)
- Deep Learning Architectures (Transformers, Graph Neural Networks)
- Bayesian Methods & Probabilistic Modeling
- ML for Ads, E-commerce, or Two-Sided Marketplaces (big plus!)
- Proven ability to drive impact across multiple teams and organizations.
Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN.
Responsibilities
As a Principal Applied Scientist / Machine Learning Engineer, I will expect you to:
- Develop and implement machine learning models to solve high-impact business problems.
- Design and optimize scalable ML pipelines and infrastructure for production environments.
- Conduct applied ML research, prototype new modeling approaches, and rigorously test innovations.
- Evaluate and improve model performance, ensuring robustness, scalability, and interpretability.
- Translate complex business needs into practical ML solutions, collaborating with product and engineering teams.
- Stay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism.
Description
At mParticle by Rokt, we pride ourselves on being one of the leading customer data platforms, dedicated to empowering businesses to create personalized and engaging experiences for their customers worldwide. As part of our engineering team, you will work with cutting-edge technology that handles millions of transactions daily and processes billions of data points, allowing for innovative collaboration and a vast exposure to various technologies.
As a mission-driven, hyper-growth community, we strive for real-time relevance in ecommerce. We value diversity, transparency, and collaboration, and offer an inclusive culture where everyone can thrive. Our benefits include competitive compensation with equity opportunities, catered lunches, generous retirement plans, a dog-friendly office, and flexible work arrangements.
If this opportunity aligns with your career aspirations, we encourage you to apply and look forward to hearing from you.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find ML, AI Developer salaries in the United States here.
How many ML, AI Developer jobs are in the United States?
Currently, there are 2229 Machine-Learning openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for ML, AI Developers?
The US is one of the best countries to work as a ML, AI Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for ML, AI Developer jobs in the United States?
Capgemini, DataAnnotation, Amex, Vorto Operations LLC, Navy Federal Credit Union, Ahold Delhaize USA, JT4 among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Leidos as they are hiring for 407 different ML, AI Developer jobs in the United States. They are probably quite committed to find good ML, AI Developers.
The company with most openings is Leidos as they are hiring for 407 different ML, AI Developer jobs in the United States. They are probably quite committed to find good ML, AI Developers.