> Markdown version of [/jobs/ext/1485208-machine-learning-engineer-next-generation-recommendation-systems](https://www.wearedevelopers.com/jobs/ext/1485208-machine-learning-engineer-next-generation-recommendation-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, Next-Generation Recommendation Systems - **Company:** Unity Microelectronics Inc. - **Location:** New York, United States - **Salary:** $127,400.0 - $191,200.0 - **Contract:** Internship / Graduate position - **Skills:** Training Data, A/B Testing, Artificial Intelligence, Big Data, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Reinforcement Learning, Feature Engineering, Pytorch, Large Language Models, Generative AI, Information Technology, Machine Learning Operations - **Published:** July 29, 2026 - **Apply:** https://www.dice.com/job-detail/93f756df-709a-4353-892a-bfe9bb43259a ## About the Role We are building the next generation of these systems. The frontier has shifted - large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter., * PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). * Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. * Experience working with large-scale data and ML systems, whether through research or industry internships. * Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. * A track record of rigorous, high-quality research - publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. * Strong written and verbal communication skills - able to make complex ideas accessible across technical and non-technical audiences. You might also have * Industry experience in ads, recommendation, or user understanding systems (internship experience counts). * Hands-on experience with production ML pipelines - training at scale, feature engineering, or experimentation infrastructure. * Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. * Familiarity with agentic AI approaches - multi-step reasoning, tool use, or human-AI collaboration frameworks. * Exposure to causal inference, uplift modeling, or A/B testing at scale. * Genuine curiosity about applied research and the drive to see ideas through to impact. ## Description * Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. * Develop user understanding systems - conversion prediction, behavioral modeling, and value estimation - that operate across billions of impressions. * Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. * Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. * Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. * Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams., This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set., This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at ## Related Videos - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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