AI & Machine Learning Professional at eStreet Security AI & Machine Learning Professional at eStreet Security in Dallas, Texas Posted in 2 days ago.

Type:

full-time About the RoleWe're building the future of AI and we're looking for talented people across the entire machine learning spectrum to join us. Whether you're just starting your career or you're a seasoned expert, if you're passionate about AI, we want to hear from you.

This is a flexible, multi-disciplinary role that spans machine learning engineering, generative AI, research, computer vision, NLP, and data science leadership. We'll tailor the position to your strengths, interests, and experience level so you can do the best work of your career.

What You Might Work OnDesign, build, and deploy machine learning models at scaleDevelop and fine-tune large language models (LLMs) and generative AI systemsBuild and maintain MLOps pipelines, tooling, and infrastructureConduct applied research in computer vision, NLP, or related areasTranslate business problems into data science solutionsLead and mentor team members (for senior/managerial candidates)Collaborate cross-functionally with product, engineering, and business teamsWho We're Looking ForYou might be a great fit if you have experience in any of the following:

Machine Learning Engineering / MLOpsGenerative

AI / LLM

developmentAI ResearchComputer Vision and/or NLPData Science or Data Science ManagementExperience levels welcome:

Entry-level / New grads strong fundamentals, projects, coursework, or internshipsMid-level 25 years building ML/AI systems in productionSenior / Lead deep technical expertise and track record of impactManager / Director experience leading data science or ML teamsMinimum QualificationsBackground in computer science, statistics, mathematics, engineering, or a related field (degree optional skills matter more)Familiarity with at least one of: Python, ML frameworks (PyTorch, TensorFlow), data toolingCuriosity, willingness to learn, and a collaborative mindsetStrong communication skillsNice to Have (Not Required)Published research or open-source contributionsExperience with cloud platforms (AWS, GCP, Azure)Familiarity with LLMs, transformers, or diffusion modelsPrior experience in a fast-paced startup or scale-up environmentWhat We OfferCompetitive compensation (commensurate with experience)Remote-friendly / flexible work arrangementsLearning budget and conference supportOpportunity to work across multiple AI domainsClear growth paths from IC to leadershipHow to ApplyDon't self-reject! If you're excited about AI and meet some not all of the above, we'd love to hear from you. Send your resume, GitHub, portfolio, or just a note about what you'd like to work on. recblid tz596h1q50fqr1elwmmoz9csyk7q8y