Research

Senior Deep Learning Scientist $160,000 - $250,000 Onsite – New Haven, Connecticut A cutting-edge biotech startup is seeking a Senior Deep Learning Scientist to join their team. This innovative company is pioneering a first-of-its-kind platform to conduct preclinical studies, aiming to revolutionize the understanding and treatment of neurological diseases.As a Senior Deep Learning Scientist, you will play a pivotal role in designing and implementing AI models that integrate complex biological signals. You'll be at the forefront of pioneering work in areas such as generative graph representation learning, contributing to the development of novel AI architectures tailored to the intricacies of human brain biology.Key Responsibilities:Design, develop, and deploy state-of-the-art deep learning models for analyzing multi-modal biological data.Develop deep learning architectures incorporating biological inductive biases, and explore generative graph representation learning to uncover novel patterns in brain data.Work closely with bioinformatics, experimental biology, and engineering teams to integrate multi-modal datasets into cohesive AI frameworks.Optimize deep learning pipelines for petabyte-scale datasets and ensure models are scalable on high-performance computing infrastructures.Publish research findings and present at scientific conferences to contribute to the broader AI and biomedical communities. Requirements:PhD or Post-doc in Computer Science, Machine Learning, or a related STEM field with a strong demonstrated track record of applying deep learning to biological problems.The ability to translate conceptual research frameworks into deployable architectures.Comfort working across research and applied implementation.Proven experience with GNNs and an ability to tailor these methods to biological data. Experience with generative graph representation learning is a significant plus.Expertise in PyTorch with the ability to build and deploy scalable models.Familiarity with developing production-quality pipelines, cloud computing, and model deployment best practices.Demonstrated ability to research and implement novel deep learning architectures tailored to complex biological datasets.Experience with high-performance computing (HPC) environments or distributed training techniques for large-scale GNN models. Apply now or reach out to Ben at benjamin@deeprec.ai to learn more!

Senior Applied AI Scientist Location: UK-based, remote-first (with monthly optional meetups in London) Start date: ASAP Eligibility: Must have the right to work in the UKOverview DeepRec.ai has the pleasure of partnering with a remote-first NbS startup as they look to hire a Senior Applied AI Scientist to lead the development of ML-driven solutions that scientifically quantify the real-world impact of nature-based interventions. You'll join a multidisciplinary team of AI scientists, engineers, and environmental experts tackling one of the biggest challenges of our time: building trusted, scalable tools for climate and biodiversity action.The CultureShared purpose, no ego.Remote-first with flexible working hours, built on trust.Monthly team meetups at a London-based office (Highbury).Clear communication, fast iteration, and support over silos.A culture that thrives on ambiguity, feedback, and a growth mindset.What You’ll DoDesign, build, and scale machine learning models using environmental and observational data.Apply advanced causal inference techniques such as Bayesian Neural Networks, Gaussian Processes, Difference-in-Differences, and Synthetic Control methods.Leverage foundation models (e.g. Prithvi, Clay) and transformers to extract insights from complex datasets.Work cross-functionally with science, engineering, and product teams to embed models into real-world pipelines.Communicate scientific and technical concepts clearly to both technical and non-technical audiences.Stay current with the latest developments in AI and environmental science, integrating relevant innovations into production.Mentor junior team members and foster best practices in applied ML.What You BringStrong background in applied machine learning, bayesian statistics, and causal inference.Proficiency in Python and ML frameworks such as PyTorch.Experience with cloud infrastructure (e.g., AWS, GCP).A clear, concise communication style - clear examples given when asked, not word salad.An adaptive mindset and comfort working in fast-changing environments.A deep motivation to contribute to climate and ecological impact.An advanced degree (MSc or PhD) in Computer Science, Statistics, Economics, Physics, Mathematics, or a related field.Nice to HaveExperience working with geospatial or spatial-temporal data.Experience with remote sensing datasets (e.g., Landsat, Sentinel, SAR).Familiarity with TorchGeo or TerraTorch.Experience with Rasterio, Geopandas, Xarray, or Dask.Previous collaboration with academic or scientific research communities.Publications in peer-reviewed journals or conferences.BenefitsRemote-first and flexible hours32 days paid holiday (including bank holidays, fully flexible)Extra day off on your birthdayPension schemeEnhanced gender-neutral parental leaveSpill mental wellbeing supportCompany laptop + home working setup allowance

Job Title: AI Researcher Location: Bay Area (Hybrid) Compensation: $250K–$290K + Equity We’re hiring on behalf of a fast-growing, well-funded Bay Area startup redefining video creation using generative AI. Their platform enables video-to-video generation — combining diffusion models, Gaussian splatting, and human-centric 3D rendering. In this role, you’ll:Research and deploy models for video generation, in-painting & 3D simulationWork on human-centric modeling (pose, movement, reenactment)Build on top of diffusion models, transformers, and neural rendering methodsCollaborate with a multidisciplinary team of researchers, engineers & artistsIdeal candidates have:A PhD (or equivalent) in AI, CV, or graphicsPublications in top venues (CVPR, NeurIPS, ICCV, SIGGRAPH, etc.)Strong experience with generative models or visual computingApply now to work on bleeding-edge visual AI with real-world impact.

An international tech lab is expanding its applied AI research centre, hiring to strengthen their work on large-scale recommender systems and LLMs powering global platforms across cloud, streaming, and mobile. This is more than a publication-first role. You’ll be joining a multi-disciplinary research centre that collaborates with top universities and industry partners, with real deployment as the end goal. What You’ll Do:Design and develop production-grade recommender systems and LLM-driven servicesRun experiments on massive datasets, proposing novel approaches to real-world problemsPresent and defend your research both internally and externallyMentor junior researchers and guide research direction across the teamPublish in top-tier venues, file patents, and build working prototypesPartner with global stakeholders to scale ideas and deliver impactWhat They’re Looking For:10+ years of experience in applied ML, with a strong track record in recommender systems or LLMsHands-on coding skills are a must (Python, C++, R, etc.)PhD from a top university and multiple publications + patents all focused around LLM'sIndustry background at leading tech companies (e.g. Apple, Amazon, ByteDance)Ability to lead and deliver in research environments that bridge academia and industryProcess Overview:Coding test (challenging and mandatory, even for senior profiles)Research presentation (typically PhD work or a recent project)Deep-dive with the lab or HQ team to assess alignmentFinal HR round (salary and logistics)

An international tech lab is expanding its applied AI research centre in Ireland, hiring to strengthen their work on large-scale recommender systems and LLMs powering global platforms across cloud, streaming, and mobile. This is more than a publication-first role. You’ll be joining a multi-disciplinary research centre that collaborates with top universities and industry partners, with real deployment as the end goal. What You’ll Do:Design and develop production-grade recommender systems and LLM-driven servicesRun experiments on massive datasets, proposing novel approaches to real-world problemsPresent and defend your research both internally and externallyMentor junior researchers and guide research direction across the teamPublish in top-tier venues, file patents, and build working prototypesPartner with global stakeholders to scale ideas and deliver impactWhat They’re Looking For:10+ years of experience in applied ML, with a strong track record in recommender systems or LLMsHands-on coding skills are a must (Python, C++, R, etc.)PhD from a top university and multiple publications + patents all focused around LLM'sIndustry background at leading tech companies (e.g. Apple, Amazon, ByteDance)Ability to lead and deliver in research environments that bridge academia and industryProcess Overview:Coding test (challenging and mandatory, even for senior profiles)Research presentation (typically PhD work or a recent project)Deep-dive with the lab or HQ team to assess alignmentFinal HR round (salary and logistics)