Senior Machine Learning Scientist - Applied Research (Remote)

Join our innovative team at Turnitin, where Machine Learning is pivotal to our ongoing success. We have an ambitious product roadmap, and you will be a part of a global team of inquisitive and dedicated scientists and engineers, all committed to delivering state-of-the-art, well-structured Machine Learning systems. Collaborate closely with product and engineering teams across Turnitin to seamlessly integrate Machine Learning into a diverse array of learning, teaching, and integrity products.With Machine Learning being utilized by countless instructors teaching millions of students globally, your contributions will have far-reaching impacts. Our platform has processed billions of submissions, and your work will enhance our AI Writing detection system, automate feedback on student writing, explore authorship, and transform assessment creation and grading processes, among other vital back-end functions.Key Responsibilities:You will be part of an applied science group focused on modern Deep Learning. As a Senior Machine Learning Scientist, you will possess a balanced skill set encompassing both the scientific and software engineering aspects of (Deep) Machine Learning. Your primary focus will be on developing novel and deployable ML models and solutions in scenarios where existing solutions may not suffice. A strong understanding of the mathematical foundations of machine learning and deep neural networks is crucial, enabling you to devise novel model architectures, loss functions, and training methods. Staying updated with the latest AI and Deep Learning research across various modalities is essential, as you will apply these insights to your work.Although we utilize established training platforms, you will also create custom training loops. Models must be deployable in our products, necessitating proficiency in production-level coding and software engineering. You may train large models (with hundreds of billions of parameters), requiring expertise in multi-GPU and node training and familiarity with the latest training and inferencing advancements. Models must excel in production, balancing accuracy and computational costs effectively. Your role will routinely involve dataset exploration, generation (including synthetic datasets), design, construction, and analysis, which may occupy a significant portion of your time. Given the scale of data (billions of samples), the ability to write parallel and efficient pipelines is essential. Additionally, you will engage in code and model maintenance, hardening models for production pipelines, developing demos, and presenting your findings.

At Jump Trading Group, we are dedicated to pioneering research that shapes the future of global financial markets. Our team comprises extraordinary individuals from Mathematics, Physics, and Computer Science backgrounds who are driven to push the boundaries of scientific exploration. We foster a unique culture that thrives on innovation, creativity, intellectual honesty, and a competitive spirit. Together, we believe in harnessing our distinct talents through collaboration and mutual respect. In our pursuit of excellence, we not only aim for superior risk-adjusted returns but also design, develop, and implement technologies that transform industries, support start-ups, and collaborate with top-tier research organizations and universities to tackle complex challenges. The quantitative trading teams at Jump delve into the intricacies of global markets, utilizing advanced statistical analysis, machine learning, and deep learning techniques to develop predictive trading models that drive profitability.

Join Turnitin, a pioneering leader in the global education sector, where we have spent over 20 years collaborating with educational institutions to uphold principles of honesty, consistency, and fairness in assessments across all subjects. Our innovative products and services are utilized by more than 16,000 academic institutions, publishers, and corporations.At Turnitin, our default working model is remote, reflecting our respect for diverse cultures and personal choices. Headquartered in Oakland, our global presence includes offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), and Amsterdam (Netherlands). We cherish diversity and are committed to creating a community where every employee has equal access to learning and career opportunities, fostering a unique approach to talent recruitment from various backgrounds.As a Senior Machine Learning Scientist, you will play a crucial role in our ambitious product roadmap, working within a global team of dedicated scientists and engineers. Together, we aim to deliver innovative, well-engineered Machine Learning systems that integrate seamlessly into a wide array of learning, teaching, and integrity products.Your contributions will impact educators and students worldwide, as our Machine Learning technologies reach hundreds of thousands of instructors and millions of learners. With billions of papers submitted to the Turnitin platform and hundreds of millions of assessments graded on Gradescope and ExamSoft, your work will be at the forefront of revolutionizing educational tools.Key Responsibilities:Collaborate with subject matter experts and product owners to identify research questions and actionable insights.Curate, generate, and annotate datasets while adhering to responsible data collection and model maintenance practices.Translate raw data into trainable datasets using efficient SQL queries and scripting, visualizing results as needed.Develop and optimize machine learning models, ensuring robustness and readiness for production environments.

As a Principal Machine Learning Scientist at Turnitin, you will play a pivotal role in shaping the future of our innovative products by leveraging the power of Machine Learning. Our ambitious product roadmap offers exciting opportunities for you to collaborate with a global team of inquisitive and skilled scientists and engineers. Together, we are committed to integrating state-of-the-art Machine Learning systems into a comprehensive range of educational products that enhance learning, teaching, and academic integrity.Your work will impact hundreds of thousands of instructors and millions of students worldwide. With billions of papers submitted to the Turnitin platform and millions of assessments graded across Gradescope and Examsoft, your contributions will have a significant global reach. You'll be at the forefront of our AI Writing detection systems, providing automated feedback on student writing, and revolutionizing assessment creation and grading while playing a vital role in our backend processes.Key ResponsibilitiesDevelop and deploy novel ML models and solutions, particularly in areas where pre-existing solutions are not available.Utilize deep understanding of machine learning mathematics and deep neural networks to create innovative model architectures, loss functions, and training methodologies.Stay updated on the latest advancements in AI and Deep Learning and apply these insights to your projects.Write production-level code, ensuring models are ready for deployment across our products.Train large-scale models, utilizing multiple GPUs and nodes, while optimizing for computational efficiency.Conduct thorough dataset exploration, generation (including synthetic data), design, construction, and analysis.Prepare and deliver presentations on your work internally and contribute to publications in peer-reviewed venues.

Join IMC Trading as a Machine Learning Research Lead, where you will leverage cutting-edge machine learning techniques to tackle complex trading challenges. In this pivotal role, you will spearhead the creation of a centralized machine learning environment that will be utilized across all trading segments at IMC. The ideal candidate brings a wealth of experience collaborating with researchers, traders, and engineers to develop and enhance a robust research platform that fosters innovation through machine learning. We believe that the key to success in research lies in a blend of machine learning expertise, statistical knowledge, trading intuition, and a pragmatic problem-solving approach. This role offers you the chance to delve deeply into feature engineering, apply diverse ML models, and engage in research focused on building custom algorithms.

Join IMC Trading, a leading global market maker, as a Machine Learning Researcher! Our central ML research team is dedicated to applying cutting-edge machine learning and deep learning techniques to tackle complex trading challenges. We are looking for talented quantitative researchers with a solid track record who can collaborate effectively with trading teams to develop, refine, and enhance predictive models and research tools. You will have the chance to engage deeply in feature engineering and alpha research while utilizing a diverse array of ML models and conducting innovative research on custom model development.

Make a Meaningful ImpactAs an Applied Machine Learning Engineer at Strata, you will be at the forefront of innovation, collaborating with architects, data scientists, AI developers, platform engineers, and product teams to integrate cutting-edge AI and ML capabilities into our healthcare platform. Your contributions will be pivotal in driving advancements in generative AI and beyond, as you employ a diverse array of machine learning techniques to tackle complex healthcare challenges. By developing next-generation AI agents, algorithms, and computational engines, you will play a crucial role in enhancing Strata's market leadership, streamlining operational efficiency, and empowering healthcare providers to deliver top-notch care while ensuring financial sustainability.A Day in Your RoleTransform the latest research (e.g., arXiv papers) into practical, production-ready solutions using Python.Prototype and refine machine learning models, focusing on regression, causal inference, optimization, and vector embeddings.Work collaboratively with cross-functional teams to seamlessly embed ML and AI functionalities into our software platform.Teaming up with data scientists, you will design experiments and apply statistical methods to analyze real-world data.Optimize, test, and scale ML models to support essential healthcare analytics.Our Technology EcosystemOur core platform serves over half of the nation's leading healthcare providers, enabling them to harness financial, operational, and clinical data effectively. Our AI and ML technology stack encompasses:Programming Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMCInfrastructure: AWS, Snowflake, Docker, GitHubTechniques & Tools:Regression (both Bayesian and non-Bayesian)Vector embeddings, similarity analysis, clustering techniquesCore statistics and distributions for exploratory data analysis (EDA)Optimization strategies (multi-armed bandit, mixed integer programming)Causal inference and probabilistic modeling

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

About the Internship IMC Trading is looking for a PhD Research Intern focused on Hardware Machine Learning to help advance machine learning techniques on custom hardware. This role centers on research that supports IMC's efforts to solve challenges in low-latency inference and hardware acceleration. What You Will Do Work with experienced engineers in a high-performance computing setting Design and manage an independent research project from start to finish Present research findings to the team Develop a prototype or benchmark that supports ongoing projects Location This internship is based in Chicago, United States.

Role overview The Applied AI Lead at coinflow plays a central role in shaping and launching AI-driven features for the platform. Based in Chicago, this position blends technical leadership with strategic planning. The Applied AI Lead works closely with both data scientists and engineers, guiding their efforts while remaining involved in day-to-day technical work. What you will do Direct the development and rollout of machine learning models for the platform Align AI projects with coinflow’s business priorities and measure their impact Lead and support a multidisciplinary team, providing clear direction and mentorship

Join mindlance2 as a Senior Scientist, where you will leverage your expertise in scientific research to drive innovative projects. This is an exciting opportunity to contribute to groundbreaking research and collaborate with a talented team of professionals. As a Senior Scientist, you will be responsible for designing experiments, analyzing data, and presenting your findings to key stakeholders.

Join Signifyd, a leader in eCommerce fraud protection, as a Senior Machine Learning Engineer I / II. In this role, you will leverage advanced machine learning techniques to enhance our fraud detection systems. You will work collaboratively with a team of talented engineers and data scientists to develop innovative solutions that protect businesses from fraud.

Join our dynamic team at Arrive Logistics as a Senior Machine Learning Operations Engineer, where you will play a pivotal role in optimizing our machine learning processes and enhancing operational efficiency. You will be responsible for deploying machine learning models into production, monitoring their performance, and collaborating with data scientists to ensure seamless integration with our existing systems.Your expertise in cloud computing and machine learning frameworks will be crucial in driving innovation and improving our logistics solutions. If you're passionate about leveraging technology to solve real-world problems and thrive in a fast-paced environment, we want to hear from you!

8451 seeks a Senior Data Scientist Consultant to support the Managed Agent Platform. This role is open in Cincinnati, OH or Chicago, IL. Key responsibilities Analyze large, complex data sets in collaboration with cross-functional teams. Build predictive models that advance the Managed Agent Platform. Translate analytical findings into insights to guide strategic decisions. Help improve existing solutions and contribute to new developments for the platform. Requirements Significant experience in data science, including both model development and data analysis. Strong communication skills for effective teamwork and knowledge sharing. Proven ability to convert complex data into clear, actionable recommendations.

Who We AreArrive Logistics stands as a premier transportation and technology firm in North America, with ambitious plans for significant annual growth. Our achievements are a reflection of our extraordinary team and the collaborative environment we foster. We are dedicated to ensuring that our employees have a fulfilling work experience, complemented by an award-winning culture that encourages personal growth and professional development within a fun, casual, and cooperative setting.Who We Are Looking ForWe are seeking a skilled Senior Data Scientist to collaborate closely with our Product and Engineering teams. This role involves converting business challenges into effective data-driven solutions and modeling strategies that yield positive business outcomes. The ideal candidate will be an experienced professional capable of providing technical guidance to their team and supervising the deployment of machine learning systems.

Join Tendo as a Senior Data Scientist, where you will play a pivotal role in enhancing analytics projects centered around quality management and risk adjustment in healthcare. In this role, you will gather and analyze data from various public and private sources, transforming it into actionable insights for health systems. You will be responsible for developing, maintaining, and improving predictive models that drive advancements in quality, risk management, and operational efficiency. We seek a candidate with an AI-driven mindset, practical experience in applying AI and machine learning to solve real-world challenges, and a passion for leveraging emerging AI technologies to enhance healthcare delivery and patient outcomes. Additionally, you will have the chance to explore novel, data-centric questions and lead new analytical initiatives.About TendoMake a meaningful impact—become part of our innovative team!We are a rapidly expanding, mission-oriented organization focused on fostering a culture where teams and individuals can excel. Our commitment to a collaborative culture and impressive growth has earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Guided by a seasoned and successful leadership team, we adhere to our core values and actively seek motivated individuals with diverse experiences and backgrounds to enhance the care journey for patients, clinicians, and caregivers through the development of intuitive, user-friendly software solutions.If you are excited about working with cutting-edge technologies and wish to contribute to a dynamic team that is reshaping the healthcare experience, we encourage you to apply today!

Join Inspire11 as a Machine Learning Engineering ConsultantAt Inspire11, we pride ourselves on being a team of curious, intelligent, and resourceful individuals committed to delivering exceptional quality. We foster a collaborative environment that encourages innovation and accountability. Our success is tightly aligned with the success of our clients, as we partner to simplify complexities, solve sustainable challenges, and continuously elevate our thinking. Value creation is not just a concept for us; it is an integral part of our daily operations.If you are ready to make a transformative impact and thrive in a space that values bold ideas and unique perspectives, Inspire11 is the place for you.

Join us at imc as we push the boundaries of technology by deploying machine learning directly onto custom hardware. This is an exceptional opportunity for you to build innovative solutions from the ground up, influence our technical research direction, and witness your contributions make a significant impact in one of the world's most demanding computing environments.At imc, we develop our own hardware, software, and infrastructure, which empowers you to tackle bottlenecks directly without waiting on vendors or dealing with restrictive abstraction layers. If you are eager to explore the limits of computational possibilities, we invite you to apply. We are looking for both researchers and seasoned engineers from diverse backgrounds. Prior trading experience is advantageous but not necessary.

About CoinflowCoinflow is an innovative payments company based in Chicago, transforming the way money is transacted globally. We empower merchants and marketplaces to accept various payment methods across over 170 countries, ensuring instant settlements, leveraging AI for fraud prevention, and providing blockchain-based proof of delivery.With backing from top investors like Pantera Capital, CMT Digital, Coinbase Ventures, Jump Capital, and Reciprocal Ventures, Coinflow has recently secured $25M in Series A funding, propelling our mission to revolutionize cross-border payments.Since our inception in 2024, we have experienced remarkable growth, achieving a 23x increase in revenue and reaching a multi-billion-dollar annual transaction volume run rate!Role Overview:We are looking for a passionate Machine Learning Engineer to join our team, responsible for developing the intelligence layer that drives our platform. As our first dedicated ML hire, you will have the unique opportunity to shape how data and machine learning practices are integrated throughout Coinflow. You will analyze extensive transaction and behavioral data, create models and analytical systems, establish success metrics, and incorporate intelligence directly into our products and internal tools.The ideal candidate thrives on curiosity, is eager to experiment, and is driven to build innovative solutions that are yet to exist.Key Responsibilities:Design and refine machine learning models and analytical systems that enhance platform decision-making and product intelligence.Establish foundational practices for data and machine learning across the organization.Define, manage, and evolve key performance metrics related to platform health, performance, and risk.Investigate transaction and behavioral data to identify patterns, signals, and valuable insights.Collaborate closely with Engineering, Product, and Operations teams to transform open-ended challenges into concrete systems.Develop methodologies for evaluating, enhancing, and ensuring the reliability of models and data systems over time.Create internal workflows and tools that support operational and product teams.Contribute to shaping Coinflow’s long-term data and machine learning strategy.

At Braze, we take pride in our team. We are genuinely approachable, exceptionally kind, and passionately driven individuals.We aim to fuel that passion by establishing high standards, promoting collaboration, and fostering a harmonious work-life balance as we collectively navigate rapid global growth while striving for increased equity and opportunities both within and outside our organization.To thrive in this environment, you must be ready to set ambitious goals for yourself and those around you. There are always avenues to contribute: exercising autonomy, embracing accountability, and being receptive to diverse perspectives are crucial to our ongoing success.Our innate curiosity and willingness to share our varied passions enrich our culture and create a vibrant atmosphere.If you are motivated to tackle exciting challenges and have a proactive approach in adapting to change, you will be empowered to make a significant impact here, supported by a sharp and passionate team. If Braze resonates with you, we look forward to connecting!