Freelance Machine Learning Developer

Toloka AI is hiring a Freelance Machine Learning Developer for remote contract work based in Iowa, United States. This position centers on supporting AI initiatives that require machine learning and artificial intelligence techniques. Role overview This contract role involves contributing to projects that apply machine learning and AI methods. Expect to work…

toloka-ai seeks a Freelance Machine Learning Developer for remote contract work based in Wisconsin, United States. This position offers flexibility in work arrangements and focuses on building solutions for a range of projects. Responsibilities Design and implement machine learning models tailored to project needs. Refine and optimize algorithms to boost performance and accuracy. Collaborate with teams across different functions to ensure solutions meet client requirements. Location This role is remote, but candidates must be located in Wisconsin, United States.

Toloka AI seeks a Freelance Machine Learning Developer for a remote contract role based in Virginia, United States. This position centers on building and refining machine learning models to support a variety of client projects. Key Responsibilities Develop machine learning models tailored to real-world use cases Improve and fine-tune algorithms to align with client requirements Work closely with other developers and team members to address technical challenges Share technical input and ideas at different stages of each project Location This is a remote role open to candidates based in Virginia, United States.

Toloka AI is hiring a Freelance Machine Learning Engineer for a remote contract role based in Wisconsin, United States. This position centers on building and improving machine learning models that directly support product development and help shape the user experience. Responsibilities Create and fine-tune machine learning models for practical, real-world use Use data science techniques to enhance product features Work with other team members to solve technical challenges Requirements Solid background in machine learning and data science Proven ability to tackle complex problems using technical approaches Comfortable working independently as well as collaborating with a team Remote Work This contract role is fully remote but requires residence in Wisconsin, United States.

Role overview This freelance position at Toloka AI centers on designing and building machine learning models to support ongoing projects. The role is remote and requires residency in Iowa, United States. Independence is important, but collaboration with other engineers and specialists is also a key part of the work. The focus is on delivering practical solutions to technical challenges. What you will do Develop and implement machine learning models for different projects Work remotely as part of a distributed team Collaborate with peers to address complex technical problems and enhance current systems Apply your expertise to help Toloka AI achieve project goals Location This role is fully remote, but applicants must be based in Iowa, United States.

Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation and opportunity converge. We harness the power of collective intelligence to ethically shape the future of artificial intelligence.About UsThe Mindrift platform serves as a bridge connecting specialists with AI projects from leading technology innovators. Our mission is to unlock the potential of Generative AI by leveraging real-world expertise from around the globe.Role OverviewGenerative AI models are evolving rapidly, and one of our key objectives is to enhance their ability to tackle specialized queries and develop advanced reasoning skills. As a Machine Learning Engineer on our platform, you will have the unique opportunity to collaborate on such innovative projects.While each project is distinct, typical responsibilities may include:Designing original computational STEM problems that replicate authentic scientific workflows.Developing problems that necessitate Python programming for resolution.Creating problems that are computationally intensive, unsolvable manually within practical timeframes (days/weeks).Formulating problems that require complex reasoning and creative problem-solving techniques.Validating solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Clearly documenting problem statements and providing verified correct answers.Getting StartedTo apply, simply respond to this post, qualify, and seize the opportunity to engage in projects that align with your skills, on your own timetable. By creating training prompts and refining model responses, you will contribute to shaping the future of AI, ensuring that technology serves everyone.

Machine Learning Developer Experience EngineerAbout Our TeamAt Adaptive ML, we are at the forefront of AI innovation, developing a cutting-edge Reinforcement Learning Operations (RLOps) platform that empowers enterprises to specialize and deploy Large Language Models (LLMs) with tangible outcomes. Our platform provides the foundational infrastructure needed to tune, evaluate, and serve specialized models at scale, enabling the pioneering of task-specific LLM development and the execution of production-ready workflows that manage millions of requests while optimizing for both cost and performance across distributed systems.Our dynamic team has previously contributed to the development of state-of-the-art open-access large language models. We successfully raised $20M in seed funding led by Index Ventures and ICONIQ in early 2024, and we are already operational with clients such as Manulife, AT&T, and Deloitte, spanning the travel and financial services sectors, with many more partnerships on the horizon.About This RoleWe are searching for a talented ML Developer Experience Engineer who will empower ML engineers and development teams to utilize reinforcement learning effectively, without needing extensive RL expertise. You will be responsible for creating developer-focused tools, abstractions, and workflows that simplify the training, evaluation, and deployment of RL models, making them intuitive, robust, and scalable. Your contributions will enhance our customers' ability to adopt, grow, and manage RL use cases independently.This position plays a crucial role in our growth strategy: your work will facilitate independent scaling for our customers, minimizing friction and enabling self-service adoption throughout their organizations. You will closely collaborate with Technical Success, Product, and Engineering teams to identify common patterns, extract reusable solutions, and delineate the boundaries between tooling and product.This position is based in Paris, New York, or Toronto.Your ResponsibilitiesDesign and build user-friendly SDKs, libraries, APIs, and tools that enhance RL workflows for developers and ML engineers.Achieve a balance between simplicity and flexibility—supporting common patterns while allowing for advanced configurations and extensibility.Collaborate with internal teams to refine core components into documented, reusable modules that drive customer success.Engage with technical and customer success teams to identify recurring customer patterns and workflow impediments.Translate user feedback into tooling enhancements, error messaging improvements, onboarding processes, and example references.Maintain comprehensive documentation to support user engagement.

Role overview toloka-ai seeks a Freelance Machine Learning Engineer to join ongoing projects centered on practical AI solutions. This position is remote and based in Virginia, United States. What you will do Collaborate with a team of specialists to design and build machine learning models Create AI-driven solutions that address real-world challenges Contribute expertise and work remotely with colleagues on active projects Location This is a remote role for candidates located in Virginia, United States.

Join our dynamic team at Sonsoft Inc. as a C# Developer specializing in Machine Learning. This exciting opportunity allows you to leverage your programming skills while engaging in innovative projects that harness the power of AI and data science. As part of our team, you'll work collaboratively to develop robust applications and contribute to groundbreaking solutions.

About the Institute of Foundation ModelsWe are a pioneering research laboratory focused on the development, understanding, application, and risk management of foundational models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and make substantial contributions to a knowledge-driven economy.Join us and collaborate with top-tier researchers, data scientists, and engineers on the forefront of foundational model training. Engage in solving critical challenges that can redefine entire sectors through advanced AI solutions. Your strategic and innovative problem-solving skills will play a vital role in positioning MBZUAI as an international leader in high-performance computing for deep learning, facilitating discoveries that will inspire future AI trailblazers.The Role We are seeking a skilled distributed ML infrastructure engineer to enhance and expand our training systems. You will collaborate closely with distinguished researchers and engineers to:• Develop and scale distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod)• Implement distributed optimizers based on mathematical specifications• Create robust configuration and launching systems across multi-node, multi-GPU clusters• Manage experiment tracking, metrics logging, and job monitoring for enhanced external visibility• Enhance the reliability, maintainability, and performance of training systems• While much of your work will support large-scale pre-training, prior pre-training experience is not mandatory; strong infrastructure and systems expertise are our primary focus.Key Responsibilities • Distributed Framework Ownership – Extend or adapt training frameworks (e.g., DeepSpeed, FSDP) to accommodate new applications and architectures.• Optimizer Implementation – Convert mathematical optimizer specifications into distributed implementations.• Launch Config & Debugging – Develop and troubleshoot multi-node launch scripts with adaptable batch sizes and parallelism strategies.

About EarnInEarnIn is a trailblazer in the field of earned wage access, dedicated to creating innovative solutions that provide real-time financial flexibility for individuals navigating the challenges of living paycheck to paycheck. Our community empowers members to access their earnings as they earn them, offering options to spend, save, and invest without mandatory fees, interest charges, or credit inquiries.With a highly experienced leadership team and backing from esteemed partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, EarnIn is in a strong position with a thriving core business and significant growth potential. We are rapidly expanding and eager to onboard world-class talent to help us shape the future of our organization.POSITION SUMMARYWe are looking for a forward-thinking and experienced Director of Machine Learning to spearhead our machine learning initiatives across the organization. As a fintech leader, machine learning is central to our business strategy and enhances user experience. We rely on advanced, scalable ML systems to make impactful decisions and provide outstanding customer value. Our goal is to revolutionize success stories through the application of generative AI and cutting-edge machine learning algorithms, resulting in significant business and societal outcomes.The Director of ML will prioritize operational excellence by crafting and executing a strategy that transitions ML models from research to production, ensuring optimal performance, reliability, and maintainability. The ideal candidate will have a demonstrated history of deploying ML models at scale, particularly in dynamic startup settings. A strong coding background, familiarity with production-level ML engineering, and the ability to connect theoretical frameworks with practical execution are essential.The base salary range for this full-time role in Mountain View is $414,000 to $506,000, accompanied by equity and benefits. Salary ranges are determined by role, level, and location. This is a hybrid position, requiring in-office work two days a week.

Location: New York, NYStart date: ASAPLanguages: English (required)About the RolePragmatike is partnering with a rapidly expanding AI cybersecurity firm, supported by premier investors and leading AI experts. This innovative company is constructing the security framework for the AI age, safeguarding organizations against AI-driven threats like deepfakes, smishing, and synthetic voice attacks.After securing significant Series B funding from top-tier AI and venture capital partners, the firm is poised for an essential growth stage. With trust from major banking institutions, tech companies, and healthcare entities, they are accelerating their scaling efforts to fulfill enterprise demand in a market exceeding $200 billion.We seek a Director of Machine Learning to architect and develop the company’s machine learning capabilities from inception. This role is pivotal to our product vision, emphasizing strategic ownership, infrastructure establishment, and the execution of machine learning throughout the organization.Currently, there is no dedicated ML infrastructure or team in place. You will lay the groundwork: identifying where ML creates product value, designing comprehensive production systems, and guiding the technical evolution of ML across the company.This is a high-impact, autonomous position ideal for someone experienced in building ML systems in operational environments and ready to scale an ML function from the ground up.What You Will DoDefine the ML strategy for the company: determining application areas for ML across products, required infrastructure, and the approach for build versus buy decisions.Design and develop end-to-end production ML systems, including data pipelines, model training workflows, assessment frameworks, and inference serving.Establish a robust evaluation methodology to assess model quality, identify regressions, and facilitate data-driven improvements.Oversee the data strategy: identifying necessary data, establishing labeling processes, structuring feedback loops, and ensuring continuous model enhancement.Collaborate closely with product and backend engineering teams to seamlessly integrate ML into customer-facing systems.Produce high-quality code within the existing codebase and contribute to architectural decisions.As the function expands, support recruitment, mentorship, and leadership of the ML team.

Reddit is seeking a Staff Machine Learning Engineer to join the Developer Platform team. This role is fully remote and open to candidates located anywhere in the United States. Role overview This position focuses on designing and building machine learning solutions that enhance user engagement and satisfaction across Reddit. The work centers on developing models and systems to support the platform’s ongoing growth and changing requirements. What you will do Create and implement machine learning solutions to improve how users interact with Reddit. Develop models and systems tailored to the platform’s needs. Collaborate with team members to strengthen Reddit’s machine learning capabilities and deliver a better experience for millions of users. Impact The contributions in this role will help shape the future of Reddit’s platform, directly affecting daily user interactions and engagement.

Are you passionate about tackling Kaggle-style challenges, refining models, and testing innovative ideas to enhance performance? Imagine being compensated for your expertise, where your solutions play a crucial role in fortifying the world’s leading AI systems.Large-scale language models are transitioning into powerful catalysts for discovery, education, and engineering. To achieve this evolution, they require enhanced reasoning capabilities and superior datasets. As a Machine Learning Specialist, you will engage in practical ML challenges that resemble research competitions, but with tangible impacts on the future of AI.

Join Orchard as a Machine Learning Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage your expertise in machine learning algorithms and data analysis to develop innovative solutions that enhance our products and services.We are looking for a proactive team player who thrives in a fast-paced environment and possesses strong problem-solving skills. You will collaborate with cross-functional teams, engage with large datasets, and contribute to the design and implementation of machine learning models.

About VoltaiAt Voltai, we are pioneering the future of artificial intelligence by developing world models and agents capable of learning, evaluating, planning, experimenting, and interacting with the physical world. Our initial focus is on understanding and creating advanced hardware, electronic systems, and semiconductors, utilizing AI to design and innovate beyond human cognitive boundaries.About Our TeamOur remarkable team is backed by esteemed Silicon Valley investors, Stanford University, and industry leaders including CEOs and Presidents of Google, AMD, Broadcom, and Marvell. We boast a diverse group of former Stanford professors, SAIL researchers, Olympiad medalists, CTOs of prominent tech firms, and high-ranking officials with experience in national security and foreign policy.What We Are Looking ForExceptional AI/ML engineering skills, ideally from top-tier programs in Computer Science, Electrical Engineering, Mathematics, or Physics.Demonstrated success in delivering AI/ML projects from initial concept through to production deployment.Hands-on experience in fine-tuning and deploying large language models (LLMs) within production environments.Experience working with multi-modal models that integrate text, image, or audio inputs.Bonus PointsExperience in competitive programming.Contributions to open-source projects.Recognition through awards or publications in leading journals and conferences.Ability to thrive in a dynamic, fast-paced startup environment.

Upwork Inc. connects businesses with skilled professionals in AI, machine learning, software development, sales, marketing, customer support, finance, and accounting. The company’s platforms, including the Upwork Marketplace and Lifted, help organizations of all sizes find and manage freelance, fractional, and payrolled talent for a range of contingent work needs. Upwork supports both large enterprises and entrepreneurs in sourcing talent and implementing AI-driven solutions. The company’s network covers more than 10,000 skills, enabling clients to scale and adapt their workforce for changing business demands. Since launch, Upwork has processed over $30 billion in transactions. The company’s mission centers on expanding opportunities at every stage of work. Learn more Visit the Upwork Marketplace: upwork.com Learn about Lifted: go-lifted.com Connect on LinkedIn, Facebook, Instagram, TikTok, and X Follow Lifted on LinkedIn

At Vectara, we are revolutionizing the deployment of Enterprise AI Agents and AI Assistants, emphasizing Accuracy, Security, and Explainability like never before. Our enterprise RAG Platform stands out by utilizing advanced models for retrieval, embedding, and reranking, alongside a meticulously optimized LLM trained for quality and cutting-edge Hallucination Mitigation techniques. Our innovative approach has garnered recognition in esteemed publications such as the New York Times and Visual Capitalist, solidifying our reputation as leaders in responsible, production-ready AI solutions. With a diverse clientele of over 100 enterprises, including prominent US military organizations, financial institutions, healthcare providers, and manufacturers, we are committed to delivering exceptional results.Our founding team comprises seasoned professionals from Google, specializing in neural information retrieval and distributed systems. We invite you to join us in our mission to empower the world to discover meaningful insights. At Vectara, our team is built on passion and expertise, featuring top talents from companies like Google, Cloudera, Splunk, MongoDB, and Elastic.

About the Internship BlackSky is seeking a Machine Learning Engineer Intern for the Herndon, VA office. This role supports the team’s work on real-time global intelligence by helping to develop and improve machine learning models used in data analysis. What You Will Do Work closely with engineers and data scientists to design, build, and refine machine learning models Contribute to projects that strengthen BlackSky’s data analysis capabilities Collaborate in a team environment focused on technical problem solving

Join our dynamic team at HackerRank as a Machine Learning Engineer focusing on Evaluation. In this role, you will leverage your expertise in machine learning algorithms to drive the evaluation and enhancement of our innovative coding platform. Collaborate with cross-functional teams to develop robust models and ensure optimal performance across our systems.