
IMC · Chicago
Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10–12 we...
Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex,
real-world problems. Over 10–12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze
large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and
options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging
problems in a collaborative, fast-paced environment where your work can have real-world impact.
Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk
training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation
package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher
position upon graduation.
innovate.
related topics
quantitative field and graduating between September 2027 – July 2028
challenging research or real-world problems
modeling, training dynamics, or optimization
publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred
You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best
matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated
based on the specific criteria established for that particular role. If you have already applied for this position during the
current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time,
permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits
Base Salary: $300,000
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989,
we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across
our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business
operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back.
From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to
diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded. Your Core Responsibilities: * Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production * Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability * Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments * Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments * Collaborate closely with traders, researchers, and engineers to translate research into production trading systems Your Skills and Experience: * PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field * Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems * Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization * Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX * Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred * Ability to commence full-time employment in February or August 2027 You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027. The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Base Salary: $300,000 About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Data scientists at Thoughtworks are strategic leaders who spearhead data-driven initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data science within the client organization. Drawing upon their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies, our data scientists integrate this knowledge with a comprehensive understanding of related domains to deliver tangible business value. They devise strategies, execute plans, operationalize solutions and articulate the business outcomes achieved. Effective collaboration is paramount, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members. As a data scientist at Thoughtworks, you'll leverage your deep technical knowledge to solve complex business problems, making a significant impact on client success. JOB RESPONSIBILITIES * You will establish a clear vision and direction for the AI paradigm/practices, aligning it with the overall business strategy. * You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning. * You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. * You will identify and prioritize data science projects that align with business objectives and ensure that projects are completed on time and within budget. * You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action. * You will get involved with data science delivery whenever needed. * You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. * You will build and drive the growth of the data science community along with promoting a culture of data literacy within the organization. * You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). * You will work with CD4ML practices and data versioning tools. JOB QUALIFICATIONS TECHNICAL SKILLS * You have experience in the Retail and Customer Analytics industry. * You have experience with defining strategy/vision for the data science function, aligning it with the overall business strategy. * You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models. * You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. * You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc). * You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. * You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. * You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. * You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. * You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. * You are a proven leader with a track record of encouraging teammates in their professional development and relationships. * Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. ACCOMMODATIONS Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law. If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process. Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements. Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process. CANCELLATIONS As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. SALARY Benefits: https://www.thoughtworks.com/en-ca/careers/benefits Salary $182,000—$320,000 USD See here our AI policy.
REQ ID - FEQ327R483 Location(s): Central US (Texas, Illinois, St. Louis) While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: * You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. * Make your customers extremely successful with Databricks and provide outsized value to their businesses. * You will maintain a robust hiring pipeline at all times. * Establish relationships across the business to make your customers and team successful. * Partner with sales leadership to hit sales and consumption targets while ensuring customer success * Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs What we look for: * 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals * 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI). * A deep technical understanding of the impact that Data + AI can drive within various industry segments * Technical competence to earn the trust of Engineering talent and leadership at Databricks. * Trusted advisor to technical executives who guide strategic data infrastructure decisions. * Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations. * Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans. * Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners. * Experience working with other teams such as Product Management, Engineering, and Customer Success. * Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 2 Pay Range $172,500—$237,150 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.