Computer engineering • salem or
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language.You'll work on well-scoped emp... Show more
The research teams behind the best-known AI models come to Mercor for electrical engineering judgment they can't generate on their own.Your standards and expertise become the rubric that frontier A... Show more
Role Overview: Mercor is looking for computer power users and automation builders with 2-3 years of relevant experience, or currently enrolled postgrad students, to support a research project with ... Show more
Role Overview** - Mercor is seeking senior mechanical engineering professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise product design and manufacturing context... Show more
Role Overview** - Mercor is seeking senior civil engineering professionals to build evaluation tasks for AI systems operating in large-scale infrastructure and construction contexts.The workflows a... Show more
The research teams behind the best-known AI models come to Mercor for mechanical engineering judgment they can't generate on their own.Your standards and expertise become the rubric that frontier A... Show more
Role Overview: Mercor is looking for computer power users and automation builders with 2-3 years of relevant experience, or currently enrolled postgrad students, to support a research project with ... Show more
Manufacturing And Facilities Engineering Manager.At Cabinetworks Group, our shared purpose is to bring the kitchen to life.We design and manufacture the most comprehensive choice of kitchen cabinet... Show more
Role Overview** - Mercor is seeking senior civil engineering professionals to build evaluation tasks for AI systems operating in large-scale infrastructure and construction contexts.The workflows a... Show more
The research teams behind the best-known AI models come to Mercor for electrical engineering judgment they can't generate on their own.Your standards and expertise become the rubric that frontier A... Show more
Discover Your Future with Inmar Intelligence: Where Potential Meets Purpose.Our work has a meaningful impact on everyday life — from helping consumers save money to making healthcare safer and more... Show more
The research teams behind the best-known AI models come to Mercor for engineering judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is graded... Show more
Role Overview** - Mercor is seeking senior electrical engineering professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise electrical systems and product design co... Show more
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language.You'll work on well-scoped emp... Show more
Role Overview** - Mercor is seeking senior electrical engineering professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise electrical systems and product design co... Show more
Role Overview** - Mercor is seeking senior mechanical engineering professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise product design and manufacturing context... Show more
Ability to diagnose, troubleshoot, and repair devices within an allotted time frame.Have dexterity to be able to use your hands with small tools and parts.Clear vision and the ability to follow ins... Show more
The research teams behind the best-known AI models come to Mercor for engineering judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is graded... Show more
The research teams behind the best-known AI models come to Mercor for mechanical engineering judgment they can't generate on their own.Your standards and expertise become the rubric that frontier A... Show more
The research teams behind the best-known AI models come to Mercor for software engineering judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI ... Show more
The average salary range is between $ 51,525 and $ 146,429 year , with the average salary hovering around $ 77,924 year .
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems. ## Responsibilities - Train image classifiers and generative image models from scratch, and fine-tune open-weight language models. - Get the most out of limited data, compute, and model-size budgets. - Make models robust — to adversarial inputs and to adversarial conversations. - Compress models to meet hard size and latency constraints without sacrificing accuracy. - Diagnose and resolve training issues. ## Requirements We are looking for candidates with strong expertise in one or more of the following areas: **Adversarial Robustness** Experience with: - Adversarial training of image classifiers (e.g. PGD-based training, TRADES). - Evaluating robust accuracy under standard threat models (e.g. L∞ attacks, AutoAttack) and avoiding gradient-masking pitfalls. - Managing the robustness–accuracy trade-off and robust overfitting. **Efficient Computer Vision** Experience with: - Training image classifiers end-to-end, especially for fine-grained recognition (many visually similar classes, few examples per class). - Model compression: quantization, pruning, and knowledge distillation from large teachers into small students. - Deploying models under hard size or latency budgets (on-device, edge, or embedded settings). **Generative Image Modeling** Experience with: - Training image generative models from scratch: diffusion models, GANs, VAEs, or flow-based models. - Iterating against sample-quality metrics such as FID. - Training-efficiency tricks that produce good generators quickly and at small parameter counts. **LLM Post-Training & Behavioral Robustness** Hands-on experience with one or more of: - Supervised fine-tuning and preference optimisation (DPO, RLHF, RLAIF) of open-weight language models, including building your own datasets via synthetic generation, noisy or weak supervision, and rejection sampling. - Shaping conversational behaviour over multiple turns: resistance to persuasion and sycophancy, calibrated confidence, and knowing when to accept corrections. - Alignment-style fine-tuning that changes a specific behaviour while preserving general capability. **Multilingual Pre-training** Experience with: - Training multilingual or low-resource-language models from scratch. - Tokenizer design across scripts and typologically diverse languages. - Balancing highly unequal per-language data (sampling temperatures, cross-lingual transfer) in data-constrained regimes. **Additional Areas of Interest** Experience in any of the following is a plus: - Scaling laws and training-efficiency research. - Curriculum learning and data ordering. - Model evaluation: benchmark construction, contamination control, statistically sound comparisons. - Uncertainty estimation and model calibration. - Data augmentation and synthetic data for robustness. ## General Qualifications - 3+ years of machine learning research experience (PhD research counts toward this requirement). - Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks. - Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions. ## Why Join - Work on cutting-edge machine learning research. - Collaborate with leading AI researchers on challenging, high-impact projects. - Flexible, project-based work with competitive compensation.
