Machine Learning Researcher at Virtu | New York

Join Virtu Financial, a leading quantitative trading firm, where innovation meets impact in the financial markets. As a Machine Learning Researcher, you will engage in groundbreaking research opportunities within a dynamic and agile organization. This role presents a unique blend of intellectual challenge and immediate business influence, as you navigate complex problems that lack straightforward solutions.Your responsibilities will encompass our entire modeling ecosystem, from feature engineering and deep learning architecture to training dynamics and execution strategies. Your pioneering contributions will shape our market operations globally, making a real difference in a fast-evolving industry that thrives on creative problem-solving and first-principles thinking.We seek individuals with a strong sense of curiosity, a robust technical skill set, and a collaborative spirit, regardless of their industry background.

Join Virtu’s Research Technology team as an accomplished Machine Learning Engineer. You'll be part of a dynamic group of specialists focused on creating the robust infrastructure that fuels our quantitative researchers. This is a rare chance to engage at the crossroads of machine learning and systematic trading, developing tools that directly influence the efficiency and speed of our research capabilities. In this pivotal role, you will spearhead the development of our machine learning research platform. Your responsibilities will include managing data and computational resources, tracking experiments, and empowering researchers to transition from concept to result with maximum efficiency. Collaborating closely with quantitative analysts and engineers, you will significantly impact the implementation of machine learning practices as we enhance our operational capabilities. Our tech stack primarily includes Python, C++, and Java, complemented by various open-source tools and proprietary technologies.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, driven by dual objectives that enhance each other.Our primary focus is to understand and construct intelligence. This encompasses establishing the fundamental mathematical principles of reasoning, learning, decision-making, comprehension, and explanation, alongside developing software that embodies these principles.Secondly, we aim to empower society to tackle complex challenges. This involves broadening the scale, complexity, and scope of problems we can currently address and, crucially, accelerating our future problem-solving capabilities.To realize these ambitions, we are establishing an innovative technological framework inspired by human reasoning and fostering a collaborative environment that prioritizes human values.About the RoleAs a Research Engineer, you will play a vital role in advancing Basis’ mission by converting research concepts into accurate, robust, and scalable high-quality code.We are looking for technically proficient individuals who are enthusiastic about delving deep into foundational concepts. Our research engineers are committed to conducting rigorous, high-quality science, unafraid to experiment, learn from mistakes, and explore innovative ideas.Basis thrives on collaboration, both within our team and with external partners. We seek individuals who enjoy tackling challenges greater than they can manage alone.Machine Learning Research Engineer Focus AreasThis position is aimed at experts in machine learning engineering. Key areas of focus include:Probabilistic programming and statistical inferenceDeep learningCausal inferenceProgram synthesis and analysisML Ops and systems engineeringThese areas will be explored in the context of developing reasoning systems. Research engineers will also engage with topics including programming language design and implementation, automatic differentiation, and SAT/SMT solvers.

Virtu Financial, Inc. is a premier financial institution that utilizes state-of-the-art technology to provide liquidity across global markets and deliver innovative and transparent trading solutions to our clients. As a distinguished market maker, Virtu enhances market efficiency by offering substantial liquidity in over 19,000 securities across 235 venues in 36 countries worldwide.Our core services, including market making, client execution, and proprietary trading venues, provide a competitive edge, allowing us to develop and implement cutting-edge tools that enhance operational efficiency and performance throughout the organization.THE ROLEAs a Quantitative Strategist at Virtu, you will collaborate within interdisciplinary teams comprising traders, quantitative analysts, and experienced software engineers. Our environment is collegial and supportive, fostering interactions across various teams globally.Utilize your keen observational skills and advanced statistical techniques to design and refine predictive models.Conduct research to devise and implement innovative trading strategies.Evaluate existing strategies for potential enhancements.Develop comprehensive risk models and frameworks to effectively manage portfolio risks.Create tools that automate research workflows and enhance the visualization of complex datasets.THE CANDIDATEA PhD in a quantitative discipline such as Science, Mathematics, Engineering, or other STEM fields.No prior experience in Quantitative Finance or specific asset class knowledge is necessary.A strong academic background with diverse, challenging coursework and a solid GPA.Outstanding quantitative, mathematical, and analytical problem-solving abilities.Excellent communication skills with the capability to collaborate effectively with colleagues.Ability to tackle technical and quantitative challenges under pressure.Proficiency in expressing concepts mathematically and algorithmically.Programming expertise, particularly in Python and C/C++.A strong sense of intellectual curiosity and self-motivation, with the capability to learn from peers and seek guidance.Exceptional adaptability and a high tolerance for ambiguity.A strong desire for success within a collaborative environment.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research. Our mission is twofold: to deepen our understanding of intelligence and to empower society in solving complex, challenging problems.Our first objective is to comprehend and construct intelligence. This involves establishing foundational mathematical principles for reasoning, learning, decision-making, comprehension, and explanation, while also developing software that embodies these principles.Secondly, we aim to enhance society’s capability to tackle intractable issues. This includes broadening the scope and complexity of problems we can address today and accelerating our future problem-solving abilities.To accomplish these objectives, we are creating a technological infrastructure inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis’ initiatives to unravel the conceptual, mathematical, and computational foundations of intelligence. We seek individuals with exceptional technical skills who are eager to explore foundational concepts. Our research scientists and engineers are committed to conducting rigorous, high-quality scientific investigations, while also embracing the opportunity to experiment, learn from errors, and explore innovative ideas.Collaboration is integral to our work, both internally and with external partners. We are searching for individuals who thrive in team settings, tackling challenges that transcend individual capabilities.Key Expectations:Proven ability to conduct high-quality scientific research, demonstrated through publications, technical reports, or software projects.Preferred Qualifications:PhD or equivalent experience in relevant fields such as statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, or mathematics.Enthusiasm for addressing real-world challenges and contributing to positive societal change.ResponsibilitiesDevelop and investigate computational theories of intelligence, encompassing reasoning, learning, and decision-making.Collaborate closely with domain experts, both within Basis and externally, to contribute to solving scientific problems.

About the PositionJoin our dynamic team at Jane Street as a Machine Learning Researcher, where your intelligence and curiosity will be pivotal in advancing our machine learning initiatives.On the Machine Learning team, you will develop sophisticated deep learning models that underpin our trading strategies. You will have access to an expansive computing cluster, equipped with tens of thousands of powerful GPUs. The trading domain presents unique challenges, including large-scale models and nonstationary datasets within a competitive multi-agent environment, compelling us to explore innovative techniques.At Jane Street, our researchers, engineers, and traders collaborate closely, sitting just a few feet apart to refine models, construct systems, and execute trading strategies. Your day could involve delving into market data, fine-tuning hyperparameters, troubleshooting distributed training performance, or analyzing trading behaviors of our models in real time.We will depend on your extensive knowledge of the machine learning landscape and your familiarity with diverse methodologies, whether they stem from LLMs, image models, reinforcement learning agents, recommendation systems, or traditional ML approaches. You will contribute to training models for our next-generation deep learning-based trading strategies and help cultivate the foundational insights necessary for navigating new markets and scenarios. Additionally, you will be involved in recruiting new team members, participating in conferences, and imparting your expertise to colleagues—all considered vital and impactful aspects of this role.About YouIf a career in finance is new to you, you’re not alone; many of our team members started from similar backgrounds. If you possess a curious mindset and a passion for tackling intriguing problems, we believe you will thrive here. While there isn’t a fixed skill set we are seeking, ideal candidates should possess:Hands-on experience with empirical machine learning challengesThe capacity to apply logical and mathematical reasoning to various problemsA strong intellectual curiosity and enthusiasm for cutting-edge research across multiple ML domainsProficiency in utilizing a diverse range of models and techniquesPractical coding skills to quickly implement and iterate on your concepts using Python and your preferred ML frameworkA willingness to ask questions, acknowledge mistakes, and embrace new learning experiencesFor further insights, take a look at our interview process and meet our team.

About BasisBasis is a nonprofit organization dedicated to applied AI research, striving to achieve two interconnected objectives.Firstly, we aim to understand and develop intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, comprehension, and explanation; along with creating software that embodies these principles.Secondly, we seek to enhance society's capacity to address complex challenges. This means broadening the range, scale, and intricacies of the problems we can tackle today, while also accelerating our ability to solve future challenges.To fulfill these missions, we are constructing a novel technological framework inspired by human reasoning, and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis's initiatives to deepen our comprehension of the theoretical, mathematical, and computational aspects of intelligence.We seek individuals with exceptional technical skills who are passionate about exploring concepts at their core. Our research scientists and engineers are committed to conducting rigorous, high-quality, and robust scientific inquiry, yet they embrace experimentation, learning from mistakes, and exploring innovative ideas to achieve their goals.Basis thrives on collaboration, both internally and with external partners; thus, we value team players who relish tackling challenges that surpass individual capabilities.Research FocusOur research under the MARA project is dedicated to forging new principles and technologies for modeling, abstraction, and reasoning in AI systems. The primary aim of MARA is to reveal principled methodologies for how intelligence constructs, refines, and applies world models through interactive experimentation.For this position, we specifically seek experts in Reinforcement Learning & Planning who can push the boundaries of model-based RL, exploration strategies, optimal control, and Bayesian optimization. You will develop agents capable of learning efficient policies in intricate, partially observable environments by utilizing structured world models.

ABOUT US At Virtu Financial, we stand at the forefront of the financial industry, harnessing advanced technology to provide liquidity to global markets and deliver innovative, transparent trading solutions to our esteemed clients. As a distinguished market maker, we facilitate deep liquidity, fostering more efficient markets worldwide. Our expertise in market structure, extensive diversification, and cutting-edge execution technology empowers us to offer competitive bids and offers across over 19,000 securities at more than 235 venues in 36 countries globally. JOIN OUR TEAM We are seeking a skilled and experienced engineer to develop and maintain the critical reference data systems that support a variety of platforms within Virtu, including trading systems, quantitative research systems, and back-office operations. Our company thrives in a dynamic, fast-paced environment characterized by a meritocratic culture and a flat organizational structure. We are committed to continuous improvement, making learning and knowledge-sharing integral to our values. YOUR ROLE Aggregate, validate, enhance, and distribute extensive datasets from major data vendors such as Bloomberg and LSEG. Design, test, implement, and maintain various databases and APIs. Architect tailored software solutions for business stakeholders to optimize daily data management and evaluation across the organization. Facilitate large-scale migrations for global, multi-asset data. Oversee the daily operation of our production systems. Conduct both proactive and reactive system maintenance as needed. QUALIFICATIONS Bachelor's degree in Computer Science or a related field. A minimum of 5 years of experience with enterprise-level distributed systems, particularly in Java. Solid understanding of relational databases (SQL, Oracle RDBMS). A keen interest in trading and financial markets. PREFERRED BUT NOT REQUIRED: Prior experience in the financial services sector, particularly with trading systems. Proficiency in managing large datasets using Python. Familiarity with HBase, Hadoop, or equivalent cloud storage solutions. Understanding of the Linux environment. Experience using version control systems such as SVN or Git. Salary Range: $175,000 - $200,000 (excludes bonuses, benefits, etc.)

About the Position Jane Street is seeking intelligent and inquisitive minds to join our expanding Machine Learning team and lead our innovative ML initiatives. As a Machine Learning Researcher, you will develop advanced deep learning models that enhance our trading strategies, supported by our powerful computing cluster featuring tens of thousands of high-performance GPUs. The trading landscape presents unique challenges—such as complex models and dynamic datasets within a competitive multi-agent setting—driving us to explore cutting-edge methodologies. At Jane Street, our researchers, engineers, and traders collaborate closely, often just a few feet apart, to train models, design systems, and execute trading strategies. Each day may involve analyzing market data, optimizing hyperparameters, troubleshooting distributed training performance, or assessing our models' real-world trading behavior. Your extensive knowledge of the machine learning ecosystem and familiarity with diverse methodologies—ranging from LLMs, image models, reinforcement learning agents, recommendation systems, to classical ML techniques—will be instrumental in shaping the future of ML at Jane Street. You will be responsible for training models that will inform the next generation of our deep learning-driven trading strategies, as well as building the foundational insights necessary for navigating new markets and situations. Additionally, you will engage in hiring new talent, attending conferences, and sharing knowledge with teammates—all considered vital aspects of your role.

About BasisBasis is a pioneering nonprofit organization focused on applied AI research, driven by dual objectives.Our first goal is to comprehend and construct intelligence. We endeavor to lay down the mathematical principles defining reasoning, learning, decision-making, understanding, and explanation, while also developing software that embodies these principles.The second aim is to enhance society's capability to tackle complex challenges. We strive to broaden the scale, complexity, and diversity of problems we can address today, and more critically, to hasten our capacity to resolve future challenges.To fulfill these ambitions, we are creating an innovative technological foundation inspired by human reasoning, alongside a collaborative organization that prioritizes human values.About the RoleAs a Data Engineer on the Platform team at Basis, you will be responsible for constructing reliable data pipelines featuring comprehensive provenance and quality controls. You will curate documented datasets for training and evaluation while ensuring that our data infrastructure scales effectively. Your work will encompass both platform-specific data needs and cross-project data coordination, minimizing redundancy and fostering shared datasets.We are in search of technically proficient individuals who regard data quality as paramount. The ideal candidate has experience with machine learning data pipelines, understands the complete lifecycle from raw data to model training and evaluation, and approaches data provenance, lineage tracking, and quality assurance with rigor. You will blend software engineering best practices with a profound understanding of data systems and machine learning requirements.This role operates across both the Platform and Research teams, working on infrastructure that supports our commercial offerings and internal research initiatives. You will play a vital role in scaling Basis's data operations to support medium-scale models, ensuring data governance as we cater to external clients, and building systems that researchers can rely on for reproducible experiments.We seek individuals who are committed to executing high-quality, robust data engineering while remaining open to iteration, learning from real-world usage, and exploring diverse approaches to achieve excellence.At Basis, collaboration is key—both internally and with our external partners. We value those who enjoy laying the groundwork for solving grand challenges that extend beyond individual efforts.

Join Virtu Financial Virtu Financial is a pioneering financial services firm, utilizing state-of-the-art technology to enhance market liquidity and offer innovative, transparent trading solutions globally. As a prominent market maker, we facilitate efficient trading in over 19,000 securities across 235 venues in 36 countries. Position Overview We are seeking a talented UI Developer to become part of our dynamic UI development team. This diverse group of skilled software engineers collaborates across the Virtu organization to create the next generation of scalable web-based user interfaces and trading tools. While the primary focus will be on frontend development, there may be opportunities to engage in backend projects as well. Team members work closely with traders and fellow developers to identify needs and implement real-time trading, visualization, analysis, and reporting tools. Ideal candidates will possess a strong passion for crafting intuitive user interfaces, alongside extensive experience with web technologies and JavaScript frameworks.

Become part of an innovative team that is pioneering the development of the world's first biological reasoning model. Collaborate with us to create generative foundational models that unravel biological systems on various scales—from molecules to entire organisms—empowering us to predict, comprehend, and manipulate living systems in unprecedented ways.Output Biosciences is currently operating in stealth mode, led by a team of experienced founders and biotech experts with a proven track record in AI and biology, supported by top-tier venture capital firms including Y Combinator.As a Machine Learning Research Scientist specializing in Interpretability, you will collaborate closely with our founders and dedicated team to create AI systems that can process and reason across diverse biological data modalities simultaneously.Develop specialized techniques to enhance the understanding of our biological reasoning models, reverse-engineering their representation and processing of complex biological information.Design and perform experiments aimed at discovering interpretable features across various biological scales.Tackle unique challenges in biological model interpretation, including disentangling multi-scale, hierarchical representations of biological systems.Create biology-specific visualization tools that effectively map model activations to meaningful biological concepts.

Join Tagup, a pioneering defense technology company established at MIT, as we revolutionize logistics superiority through advanced AI solutions. Our mission is to deliver innovative technologies that tackle the most pressing challenges in high-stakes environments. This is your chance to contribute to critical national security efforts and support U.S. and allied forces in meaningful ways. Help us shape the future of defense logistics for a safer world.We are on the lookout for a skilled Machine Learning Engineer to bolster our Salt Lake City team, focusing on the development of next-generation AI-driven defense and aviation systems. In this role, you will transcend traditional model building by designing, deploying, and scaling AI solutions that are essential for mission-critical operations.This position offers a unique opportunity to work at the intersection of groundbreaking research and practical application, creating models and infrastructure that enhance reliability, efficiency, and performance.If you are passionate about overcoming complex technical challenges and wish to make a tangible impact on national security and aviation safety, we invite you to apply.

Join Jane Street as a Senior Weather Analyst and Machine Learning Researcher, where your expertise will contribute to advanced weather prediction models and data analysis. You will collaborate with a talented team to leverage machine learning techniques in analyzing complex meteorological datasets, improving our forecasting capabilities.

Join the Applied Physics team as a Machine Learning Specialist at our Advanced Propulsion Laboratory in New York! We are looking for a driven and talented individual to engage in pioneering research within dynamic and evolving fields. Key Responsibilities: Investigate and analyze advanced Machine Learning algorithms tailored to specific challenges. Develop, train, and validate algorithms for targeted problem areas. Assist in integrating these algorithms into comprehensive programmatic systems that depend on such technologies. Work collaboratively in a multidisciplinary team environment to achieve research objectives. Engage in both independent and joint research initiatives while collaborating with a diverse range of scientists within and outside the Laboratory. Publish findings in peer-reviewed journals and present at conferences, seminars, and meetings. Travel as necessary to coordinate with collaborators and conduct site visits.

Role overview physicsx is seeking a Machine Learning Engineer to join the team in New York. The position centers on designing machine learning models and working with large, complex data. These efforts help drive technology projects and process improvements throughout the company. What you will do Build and refine machine learning models for practical use cases Examine and interpret challenging datasets to extract insights Collaborate with colleagues from a range of disciplines to identify opportunities for machine learning solutions Contribute to technology initiatives and process optimization projects across the organization Location This role is based in New York, United States.

About Treeswift:Facing challenges from severe storms, wildfires, and the demand for affordable energy solutions, Treeswift is dedicated to helping energy companies transform their field operations to tackle unprecedented growth and challenges. Our innovative sensors are deployed in the field, collecting extensive LiDAR and imagery data, which is then analyzed by our advanced AI models to provide actionable insights through our web platform. To date, our technology has empowered utilities to mitigate wildfire risks, streamline regulatory compliance, and accelerate recovery from severe weather events.Since launching our services to utilities in June 2024, we have partnered with three of the five largest utilities in the United States and are rapidly expanding our customer base. We are building a team of passionate experts with extensive backgrounds in robotics from prestigious institutions like Penn, Caltech, and CMU, along with experience in enterprise software development from companies such as Palantir, Stripe, and Oracle. Our mission is supported by leading investors, including Penny Pritzker’s Inspired Capital.Headquartered in lower Manhattan, Treeswift also maintains an office in Philadelphia, with team members located closer to customer sites in the Bay Area.About the Role:We are seeking a talented and driven Machine Learning Engineer to join our dynamic team. In this pivotal role, you will develop and implement cutting-edge machine learning solutions to advance our mission. The ideal candidate will have a strong background in training and deploying models within commercial environments. If you are an enthusiastic engineer with a desire to shape the future of distributed infrastructure management, we encourage you to apply.This position is full-time and offers a hybrid work arrangement, requiring in-person attendance two days a week at our NYC office.Key Responsibilities:Drive the development of innovative machine learning models. Your work will focus on enhancing the efficiency and accuracy of energy infrastructure fieldwork, specifically through the development of LiDAR point cloud models for landscape and infrastructure classification, as well as image models for assessing vegetation attributes such as species and health.

Hello, I'm Brian, the Co-Founder of Egra. We have recently secured $5.5M in funding to develop foundational models for brain signals, and we are on the hunt for our inaugural research engineer.From day one, you will possess full ownership of your projects. Forget about lengthy onboarding processes, waiting for approvals, or navigating through bureaucracies. Here, you will collaborate directly with the founders on complex technical challenges, armed with the resources necessary to address them. You will define the architecture of our infrastructure, make pivotal engineering choices, and construct the systems that drive our research forward. If you excel in an environment that values high agency and wish for your contributions to directly influence the company's direction, this is an exceptional opportunity.Key ResponsibilitiesEEG, or electrical activity of the brain recorded from the scalp, is one of the most challenging real-world signal modalities in machine learning due to its low signal-to-noise ratio, significant subject variability, and inconsistencies across devices. Most shy away from these challenges.As our founding research engineer, you will oversee the systems that facilitate our research. Specific projects you will manage include:Creating versioned and reproducible preprocessing pipelines for EEG data from various sources, including device-specific normalization, channel mapping across montages, artifact detection, and signal quality assessments. Your systems will be able to instantly respond to queries like, "Which preprocessing version generated this result?"Designing infrastructure for experiment tracking and training that allows us to conduct numerous pretraining experiments concurrently without losing track of changes in hyperparameters, data splits, preprocessing versions, and model checkpoints, ensuring everything is linked and reproducible.Developing a data ingestion system capable of assimilating various EEG formats (EDF, BDF, BIDS, proprietary device exports) and normalizing them into a clean, internal representation.Enhancing training pipelines for optimal throughput on noisy, variable-length signal data using mixed precision, intelligent batching across different recording lengths, and efficient data loading for datasets that don't conform to standard loaders.Our VisionWe are aspiring to create a world where thought serves as an interface.Imagine composing a message silently as it types itself. Or navigating an AR display without any physical interaction. Our software aims to adapt to your cognitive state in real time, establishing a universal interface between human thought and digital interaction.

About the Position Join Jane Street as a Machine Learning Educator, where your expertise will empower our team to excel in the dynamic world of machine learning. As a vital contributor, you will guide our members in understanding and applying machine learning concepts effectively. At Jane Street, machine learning is integral to our global operations. Our fast-paced trading environment provides an ideal platform for hands-on ML experimentation, facilitating the integration of innovative ideas seamlessly. Our team is composed of dedicated professionals who share a passion for software engineering and the creation of user-friendly APIs and systems. Education is a cornerstone of our philosophy. We believe that continuous learning and exploration are essential for our growth. As machine learning integrates into every facet of our operations, we are committed to enhancing our educational offerings. The Machine Learning Educator will play a crucial role in developing and enhancing our educational programs and courses, covering a wide array of topics from introductory machine learning to advanced model training techniques. We are seeking a candidate who: Is a proficient and engaging teacher, demonstrating excellent writing and presentation skills. Is adept at coding, with a strong desire to contribute to our machine learning research through hands-on experience with our technology stack. Serves as a mentor to aspiring educators, guiding them in curriculum development and teaching methodologies. We look forward to connecting with individuals who have experience teaching machine learning in academic or industry settings. If you are a recruiting agency interested in partnering with us, please reach out to agency-partnerships@janestreet.com.

About FinchAt Finch, we envision a world where every American household has access to legal counsel during significant life events. We are transforming the legal landscape by creating innovative infrastructure that enhances justice accessibility. Our modern consumer law framework automates administrative tasks, prioritizing client needs, starting with personal injury cases.Since our launch in April, we have experienced exponential growth, expanding our reach tenfold and supporting pre-litigation processes for leading law firms nationwide. We seamlessly blend expert operations with cutting-edge AI technology to manage intake, claim initiation, medical records, police reports, lien management, demands, and every detail in between.Backed by distinguished investors including Sequoia and Redpoint, along with founders and CEOs of transformative companies like DoorDash, Ironclad, and Digits, we are fundamentally reshaping how legal services are delivered to everyday Americans. We are in search of exceptional talent to help us scale this mission across the country.This RoleLegal processes often involve navigating unstructured documents, repetitive tasks, and data that current systems struggle to manage. As a Machine Learning Engineer at Finch, you will take ownership of the entire AI system lifecycle—from prototyping to deployment—addressing challenges where a single innovation can significantly enhance law firm operations.What You'll DoIn this hands-on applied AI position, you will develop and deploy production-ready systems rather than just conducting experiments. Your responsibilities will evolve alongside our product and team.Create voice agents, browser agents, OCR pipelines, and LLM-driven workflows that consistently perform well in production.Establish robust evaluation frameworks and feedback mechanisms to enhance model accuracy and dependability.Manage the complete ML lifecycle, including model selection, fine-tuning, prompt engineering, deployment, and monitoring.Collaborate closely with product teams, operations, and legal experts to ensure the AI solutions address the right challenges.Monitor emerging research and tools, making informed decisions on their integration into our technology stack.Who We Have in MindWe seek engineers who prioritize results over algorithms and are equally proficient in production environments and analytical settings. Below are the key qualifications we are looking for.Must-HavesOver 3 years of experience in building and deploying production ML systems.Proficient in Python, with experience across the full ML stack.