Machine Learning Engineering Consultant

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.

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.

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.

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.

Chicago Trading Campus (CTC) is a pioneering proprietary trading firm committed to innovating how the world prices and manages risk. Our vibrant and trusting culture fosters collaboration and inspires us to tackle the industry's toughest challenges while taking calculated risks in a supportive environment.We aspire to be the most innovative firm in the industry, now and in the future, while maintaining our commitment to ethical excellence. CTC positively impacts the markets, enhances the lives of our employees, and contributes to the communities we serve. Established in 1995 by a team of visionary traders, we proudly stand as an industry leader dedicated to continuous improvement.The RoleAs a Systematic Quantitative Researcher, you will be at the forefront of innovation, working collaboratively in a dynamic environment. You will partner closely with fellow researchers, traders, and engineers to address quantitative challenges, develop trading strategies, conduct back-testing, perform statistical analyses, and design systems. Our culture of collaborative innovation and intellectual curiosity encourages us to celebrate our successes while continuously pushing the boundaries of our creativity. This is a unique opportunity to apply scientific methodologies to real-world business challenges within one of our Quant teams at CTC!We emphasize team alignment during the hiring process, ensuring that candidates are matched with either our Vol Overlay or Delta Force teams based on their strengths and interests, while also meeting the firm’s strategic needs.

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.

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.

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

Take the next step in your academic career with IMC! Fill out the form below to receive updates about exciting opportunities such as internships and fellowships tailored for PhD candidates.About UsIMC Trading is a dynamic global trading firm offering a state-of-the-art research environment supported by top-tier technology. Established in 1989, we have consistently played a vital role in financial markets, providing the essential liquidity that market participants rely on. With offices across the US, Europe, Asia Pacific, and India, our exceptional team of quantitative researchers, engineers, traders, and business operations professionals thrives in a collaborative and high-performing culture. Our commitment to innovation drives us to explore new markets, adopt groundbreaking technologies, and diversify our trading strategies, ensuring our continued success.

About the Internship Euromonitor International is seeking a Global Market Research Intern for its Chicago office. This role supports data collection, analysis, and interpretation across international markets. Interns contribute to projects that inform business decisions and shape industry understanding. What You Will Do Assist with gathering and analyzing data on global markets Interpret research findings to support ongoing projects Work alongside experienced market research professionals Gain exposure to industry trends and research methodologies Who Should Apply Recent graduates interested in market research Individuals seeking to move into the field of market analysis Candidates eager to build analytical skills in a global context This internship offers hands-on experience and a chance to learn from a team with deep expertise in market research.

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 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 Research Engineer at IMC Trading, you will be instrumental in developing advanced research platforms that support diverse asset classes and trading strategies. You will collaborate closely with quantitative traders and researchers to assess and implement innovative research ideas and methodologies across the organization. Your contributions will significantly enhance our trading strategies by accelerating experimentation cycles that promote ongoing innovation and improvement.Your Core Responsibilities:Design and develop high-throughput, scalable research platforms with a strong emphasis on data interactions, machine learning (ML) pipelines, and backtesting.Contribute to the design and deployment of deep learning models in a production environment.Establish tools that facilitate extensive experimentation at scale, ensuring versatility across various asset classes, time horizons, and trading strategies.Work collaboratively with quantitative researchers and traders to explore and evaluate new research concepts, while developing scientific libraries to disseminate insights.Assess and implement third-party tools (e.g., MLflow, Neptune, Ray) and lead the enhancement of our research infrastructure.Develop efficient processes to ensure reproducibility in research efforts.Create scalable model frameworks that can manage high-volume trading data and provide real-time, high-accuracy predictions.

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.

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!

At CapTech, our Machine Learning Engineers play a pivotal role in creating and executing data-centric solutions tailored for our clients. We specialize in the design and deployment of scalable machine learning systems within enterprise frameworks. Our collaborative culture fosters an environment where you can learn from fellow analysts, architects, and clients alike.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to devise comprehensive machine learning solutions that align with business objectives.Translate client requirements into data-driven processes and analytical models.Conduct analysis and transformation of extensive datasets across various enterprise-level platforms such as AWS, Azure, and GCP.Design, develop, and implement sophisticated analytical solutions using client data, including recommender systems and natural language processing.Optimize and scale machine learning systems to meet client specifications and enhance performance.Advance CapTech’s Machine Learning and Data Science initiatives through client presentations, proposal writing, participation in business development activities, and mentoring junior data scientists and engineers.

Join IMC as a Machine Learning Engineer, where you will be instrumental in developing and deploying advanced machine learning models that enhance our global trading operations. Collaborate with top-tier researchers, hardware specialists, and software engineers to create innovative solutions that leverage GPU acceleration, distributed computing, and cutting-edge open-source technologies. Your contributions will significantly impact our trading strategies by streamlining experimentation cycles, fostering a culture of continuous improvement and innovation. This is a rare opportunity to tackle challenges at the convergence of machine learning and trading, allowing you to leave a lasting mark on the future of IMC's technology and trading prowess.

Join Hasana, Inc. as a Market Research Intern this semester and immerse yourself in a dynamic environment. Our Research team seeks enthusiastic interns who are eager to delve into customer insights and industry trends.Key responsibilities include:Supporting the analysis of Hasana, Inc.'s competitive landscape.Conducting thorough Internet research to gather data.Performing on-site visits and collecting information through phone interviews.Ensuring data integrity by managing all aspects of data quality and analysis.Creating detailed reports and visual dashboards to present data findings.Collaborating with key stakeholders to understand reporting requirements and expectations.Assisting in the customer satisfaction program and conducting ad-hoc surveys.Developing and deploying new reporting capabilities for various requests.Supporting research initiatives focused on identifying growth opportunities in new markets.

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