Freelance Machine Learning Engineer

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.

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 on tasks that require analytical thinking and technical skill in these areas. Location This is a remote position open to candidates located in Iowa, United States.

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.

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.

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 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.

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 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

Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.

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 Hive as a Senior Machine Learning EngineerAt Hive, we are at the forefront of cloud-based AI innovation, providing solutions that empower organizations to understand, search, and generate content seamlessly. Our advanced AI models are trusted by leading global enterprises, processing billions of API requests monthly. We also deliver ready-to-use software applications that leverage our proprietary AI models and datasets, driving transformative applications in content moderation, brand protection, sponsorship measurement, context-based ad targeting, and much more.With over $120M raised from top-tier investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive boasts a diverse team of over 250 professionals across our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we want to hear from you!Your Role as a Machine Learning EngineerTo achieve our ambitious vision, we are expanding our team of elite machine learning engineers. We seek developers who are not only enthusiastic about deep learning but also eager to prototype cutting-edge neural network models and deploy them to production. The ideal candidate thrives on tackling terabyte-scale datasets, embraces continuous learning across the entire machine learning stack, and demonstrates a proactive approach to project ownership. A successful applicant will have a track record of building machine learning-powered projects from inception, contributing innovative ideas, and designing scalable, maintainable data pipelines.

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.

Join Zoox as a Senior Machine Learning Engineer specializing in Perception, where you will play a pivotal role in crafting and deploying state-of-the-art detection models that leverage integrated sensor data. This position focuses on pioneering projects tailored for the next generation of driving software, which includes developing joint detection and tracking models and innovating methods to transmit enriched embeddings to downstream models to enhance semantic understanding and uncertainty management.This unique opportunity allows you to significantly contribute to Zoox's venture into new horizons. By engineering more robust and adaptable models, you will aid in navigating complex and diverse scenarios, propelling our mission to achieve safe and dependable autonomous mobility. We seek an enthusiastic and driven individual who is eager to push the limits of perception technology in autonomous vehicles.

About SmartAsset:SmartAsset is a premier online platform dedicated to providing consumer-oriented financial information and guidance. Our mission is to empower individuals to make informed financial choices, reaching an impressive audience of over 59 million users monthly (as of January 2025) through our educational resources and personalized financial tools. To further our mission, we operate the SmartAsset Advisor Marketing Platform (AMP), which facilitates connections between consumers and fiduciary financial advisors. Our achievements include recognition on the Inc. 5000 list (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022), alongside being included in Y Combinator’s Top 100 Companies. A successful Series D funding round in 2021 raised $110 million, valuing the company at over $1 billion.*SmartAsset did not provide compensation for the aforementioned awards, aside from application and licensing fees.About the Team:The Machine Learning Engineering team is responsible for designing, building, and integrating the core platform that enables innovative capabilities for financial advisors, including features powered by generative AI. Our engineers continually enhance this platform, developing transformative applications and tools that empower financial professionals to connect more effectively with their clients and expand their businesses.About the Job:We are on the lookout for a driven and seasoned Machine Learning Engineer to join our expanding team. In this pivotal role, you will play a key part in developing and scaling essential backend systems for predictive analytics and generative AI. You will engage in the full software development lifecycle, from architectural design to deployment and maintenance, contributing significantly to our foundational infrastructure and data strategies. Collaborating closely with cross-functional teams, including LLM Engineers, Product Owners, and Data Scientists, you will help turn our vision into reality.

Why Choose Charlie Health?Across the nation, countless individuals are facing mental health challenges, substance use disorders, and eating disorders. Unfortunately, many encounter obstacles to obtaining the care they need, such as limited local options and lengthy wait times. Behavioral healthcare often fails to provide the personalized support that individuals require, leaving them feeling overlooked and unsupported.At Charlie Health, our mission is to transform this landscape. We strive to connect individuals to crucial behavioral health treatment through personalized, virtual care that fosters connections between clients and clinicians, care teams, loved ones, and their supporting communities. By prioritizing those with complex needs, we are enhancing access to significant care and achieving improved outcomes—all from the comfort of home.As a rapidly expanding organization, we are reaching more communities daily, and we are assembling a team dedicated to redefining behavioral health treatment. If you are eager to leverage your skills to create meaningful change and help individuals access the care they deserve, we invite you to join us.About the RoleCharlie Health is a leader in high-acuity virtual behavioral care, having provided life-saving treatment to over 100,000 clients across the nation. Our Matching and Outcomes team is responsible for developing products that assess and enhance clinical outcomes, including systems for provider recommendations and clinical decision support tools, ensuring effective treatment. You will design predictive models and workflows to connect patients with the most suitable therapists and peers, enabling clinicians to customize care to meet each client's unique needs. The systems you develop will empower clinicians to condense and synthesize insights from our clients and providers into actionable guidance at every step. If you are passionate about utilizing data-driven insights to enhance outcomes, this team is for you.

Join headway as a Senior Machine Learning Engineer and make a significant impact in the field of machine learning and artificial intelligence. In this role, you will leverage your expertise to develop innovative solutions, improve existing algorithms, and collaborate with cross-functional teams to drive forward our mission of transforming the healthcare experience.

Join Our Innovative Team at HiveHive is at the forefront of cloud-based AI solutions, revolutionizing how organizations understand, search for, and generate content. Trusted by many of the world's largest and most groundbreaking companies, we empower developers with premier pre-trained AI models that handle billions of API requests monthly. Our turnkey software applications leverage proprietary AI models and datasets, driving transformative advancements in content moderation, brand protection, sponsorship measurement, and context-based ad targeting.With over $120M in funding from prominent investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive is rapidly expanding. Our dynamic team of over 250 employees operates from our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we invite you to explore opportunities with us!About the Machine Learning Engineer RoleAs we strive to achieve our ambitious vision, we seek exceptional machine learning engineers to join our team. We are looking for enthusiastic developers who are eager to remain at the cutting edge of deep learning technology, designing and deploying state-of-the-art neural network models into production. Our ideal candidates thrive in working with large-scale datasets and demonstrate a keen interest in mastering new technologies across the machine learning spectrum. We value individuals who are proactive and take ownership of their projects, contributing innovative ideas and practical implementations. Experience in building machine learning applications from the ground up and designing scalable, maintainable data pipelines is essential.