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Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe. Key Responsibilities * Apply state-of-the-art ML and LLM techniques to solve problems spanning: * Personalization (LLM memory, context summarization, retrieval and ranking); * Query Understanding (intent modeling, rewriting, agentic decomposition); * Content Discovery (feed ranking and surfacing) * Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. * Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement. * Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. * Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications * 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products. * Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking. * Strong software engineering skills (Python, production-quality codebases, collaborative development). * In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement. * Proven collaborator and communicator; excels in high-velocity, cross-functional teams. * Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. * BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For * Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems. * Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc). * Open-source or published contributions in ML, NLP, IR, or relevant research fields.

Job DescriptionCompany Description Employer.com is part of a family of incredible brands alongside Flawless Recruit and Recruiter.com. Together, we provide talent acquisition services to fit the unique hiring challenges of our clients. Whether they need help building recruiting processes, attracting top talent, or payrolling contractors, we can help. Job Description We have a start-up AI client who is looking for a technical recruiter with experience recruiting for: Machine learning engineers as well as other AI roles. This position is fully remote, and a six-month contract that could be extended or turn into full-time. Qualifications What We're Looking For • 4+ years of full-cycle technical recruiter, • Experience working for tech start-ups, • Experience recruiting for Machine Learning Engineers, • A data-driven and problem-solving approach to recruiting and stakeholder management., • A passion for building teams and delivering the best candidate experience., • Persistent curiosity and desire to learn as much as possible. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Founding ML Engineer Full-time | On-site | San Francisco, CA $175K – $250K + Equity (1 – 2%) About the Role We’re looking for a Founding Machine Learning Engineer to build and scale the real-time voice model infrastructure that powers emotionally intelligent AI voice systems. In this role, you’ll design ultra-low-latency inference pipelines, optimize performance at scale, and develop expressive voice models that respond naturally and adaptively to human conversation. You’ll work directly with the founding team to shape product direction, architecture, and the technical foundation of a next-generation conversational AI platform—powering experiences across therapy, coaching, companionship, and gaming. What You’ll Do • Architect and scale real-time model inference systems for high-fidelity voice experiences., • Fine-tune and optimize transformer-based speech and emotion models for low latency., • Design efficient data pipelines and infrastructure for training and deployment., • Collaborate with founders on product direction, user feedback loops, and R&D strategy., • Drive research into emotional expression, multimodal context, and memory for long-term interactions. What You Bring • Strong background in deep learning and speech synthesis (e.g., PyTorch, CUDA)., • Experience building or optimizing real-time inference systems., • Familiarity with fine-tuning transformer or diffusion-based voice models., • Experience with data engineering, GPU acceleration, and model optimization., • Desire to work in a fast-paced, hands-on startup environment with high ownership. Work Setup

Job DescriptionAbout Mithrl We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives. Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. No coding. No waiting. No bioinformatics bottlenecks. We are the fastest growing tech-bio startup in the Bay Area with over 12X YoY revenue growth. Our platform is already being used by teams at some of the largest biotechs and big pharma across three continents to accelerate and uncover breakthroughs—from target discovery to mechanism of action. Why This Role Matters We’re not just running pipelines. We’re building systems that think like scientists. As a Senior Bioinformatician at Mithrl, you’ll play a critical role in shaping how our AI platform understands and interprets complex genomics data—across bulk RNA-seq, single-cell, CRISPR, and beyond. You won’t just run tools, you’ll know how they work. You’ll help us design smarter algorithms, build analysis frameworks that generalize, and uncover insights that matter to drug discovery teams around the world. You’ll work closely with our AI scientists, software engineers, and customer partners to bridge data, computation, and biology in real time. What You’ll Do * Ownership: Own the full bioinformatics stack -- from ingesting raw data to generating insights that drive real-world drug program decisions. Your work will be the scientific backbone of Mithrl’s AI. * Work closely with our product, AI, and customer teams to make sure your work is not just technically correct, but biologically meaningful and decision-driving * Go beyond pipelines: Understand what tools are doing, why results look the way they do, and how to improve them * Collaborate with engineers and product teams to turn bioinformatics insights into scalable software features * Validate findings, spot inconsistencies, and suggest new hypotheses for customers and internal use * Translate messy biological questions into clean computational problems, and vice versa * Mentor junior scientists and review technical outputs to ensure scientific accuracy * Stay up-to-date on the latest methods in transcriptomics, functional genomics, and statistical analysis What We’re Looking For * 5–10 years of experience in bioinformatics * Deep fluency in Python and SQL, including experience working directly with structured genomics data at scale * Strong grasp of statistical and machine learning methods applied to high-throughput biological data * Hands-on experience with modern genomics tools and file formats (e.g., GWAS, aligners, etc.) * Ability to interpret and debug pipeline results; not just run them * Strong scientific judgment, clarity in communication, and attention to detail * **Curiosity, persistence, and a drive to understand how things work * **High energy, strong work ethic, and a track record of getting things done * **Discipline Wins: At Mithrl, the social currency is hard work and consistency. The problems we’re solving are complex and take time to bear fruit. We value teammates who show up every day, work with focus, and bring long-term discipline to their craft * Bonus: Experience working with AI/ML scientists or integrating bioinformatics with production software What You’ll Love * Scope: Shape how a cutting-edge AI platform thinks about biology and delivers real insight * Impact: Your work will directly influence drug discovery decisions at top biotech companies * Team: Join a world-class crew of AI scientists, engineers, and biologists working together at full speed * Culture: No ego, no bureaucracy. Just deep thinking, fast execution, and high ownership * Location: Beautiful SF office with a focus on in-person, high-bandwidth collaboration * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

Job Description Description: • Machine Learning Engineer – Prescient Design., • Hybrid Working Model., • We are looking for talented Machine Learning Engineers to join Prescient Design, a division devoted to developing structural and machine learning-based methods for molecular design within Research and Early Development (gRED) organization., • The successful candidate will manage projects deploying new techniques for machine learning-based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns. For this role, we are seeking candidates with significant experience in at least one of the following areas, and ideally some experience in one or more of the others, listed in order of importance: • Molecular property prediction, • Probabilistic modeling/inference, • Bayesian optimization or active learning, • Production software engineering or pipeline optimization, • Cheminformatics In addition to these skills, strong software engineering experience is required. • Special focus will be given to engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning-based drug discovery., • Additional activities may extend to include engineering pipelines for molecular generative modeling. The Role: • Join Prescient Design within the Computational Sciences organization in gRED., • Collaborate closely with scientists within Prescient and across gRED., • Develop machine learning and Bayesian optimization workflows to analyze existing and design new small and large molecules., • Form close working relationships with small molecule and protein therapeutic development efforts across gRED., • Work on existing projects and generate new project ideas. Qualifications: • PhD in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS with 3+ years of industry experience., • Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)., • Record of achievement, including at least one high-impact first author publication or equivalent., • Excellent written, visual, and oral communication and collaboration skills. Additional Desired Qualifications: • Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit). Previous focus on one or more of the following: • Molecular property prediction., • Computational chemistry., • De novo drug design., • Medicinal chemistry., • Small molecule design., • Self-supervised learning., • Geometric deep learning., • Bayesian optimization., • Probabilistic modeling., • Statistical methods., • Public portfolio of computational projects (e.g., GitHub). The hiring range for this position is $70 to $80 hour. The base pay actually offered will take into account internal equity, and may also vary depending on candidate's geographic region, job-related knowledge, skills, and experience amongst other factors Harvest Technical Services is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or any other federal, state, or local protected class. #ZR

Machine Learning Engineer, Applied ML Scientist, or related role. Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation. Collaborate with software engineers, data scientists, and clinician

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Staff Machine Learning Engineer, Applied AI Platform – Block. Join to apply for the Staff Machine Learning Engineer, Applied AI Platform role at Block.

Advanced Technologies Group (ATG), Pinterest's advanced machine learning team. ATG's goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more.

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Engineering Manager- Machine Learning Infrastructure. Plaid is evolving into an AI-first company, where data and machine learning are the key enablers of smarter, more secure insight products built on top of Plaid's vast financial data network. The Machine Learning Infrastructure team sits at the ce

We’re looking for a Founding Machine Learning Engineer to build the core infrastructure powering high-performance inference for generative media models, including diffusion and transformer architectures. Sign in to set job alerts for “Machine Learning Engineer” roles. Founding Engineer, Machin

Experience deploying machine learning models on robotic systems in the field. Machine Learning Research Engineer - Robotics. AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models.

Design, build, and deploy scalable machine learning models and data pipelines to tackle complex product and business challenges. Python, strong understanding of statistical modeling, machine learning frameworks (e.

We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. Contribute to the vision, strategy, and execution of high-impact Machine Learning (ML) and Artificial Intelligence (AI) initiatives across pro

EvolutionaryScale’s mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community.Over the next ten years AI will transform biological design, making mo

This role will lead the development of machine learning systems powering internal and external customer use cases across Scale's GenAI platform. Design and deploy machine learning models to power core customer-facing and internal GenAI features. Proficiency in ML and deep learning frameworks such as

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Build and train machine learning models with sparse data. Experience building and productionizing innovative end-to-end Machine Learning systems. Strong sense of ownership and tenacity toward hard machine-learning projects.

AWS or GCP) and developing machine learning models in a cloud environment. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. Airbnb is committed to working with the broadest talent pool

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As a Machine Learning Engineer on our AI and ML Infrastructure team, you''ll be a key player in our mission to accelerate improvements that remove barriers to mental health.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems. U

Disney Entertainment and ESPN Product & Technology.Technology is at the heart of Disney’s past, present, and future.Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to b

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Collaborate Across Teams: Partner with talented engineers, security specialists, and operations teams to solve complex challenges and build resilient solutions. Apply AI and Machine Learning: Leverage AI/ML models for intelligent data analysis, anomaly detection, and predictive security, acceleratin

Founding Machine Learning Engineer. Strong programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow).

Founding Machine Learning Engineer. Strong programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow).

Use machine-learning, applied computer science, and techniques from high performance computing to develop and refine compilers and frameworks for reducing engineering complexity and time to market of mobile applications.Apply below after reading through all the details and supporting information reg