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Millennium Management

<div>Full Stack Engineer - Portfolio Team<p></p><p>
Our hedge fund is looking for a talented engineer to work across the stack to build a platform for one of Millennium's portfolio management teams. Projects will have a substantial impact on trading and analytics tooling with the expectation to expand ambition and scope over time.</p><p></p><p>
The successful candidate will combine strong technical skills, a passion for creative problem solving, and an intense curiosity. The group is looking for a versatile strong Python coder whose main responsibility will be to develop the platform for the portfolio management team within the firm. This is an ideal opportunity for a strong engineer that is looking to work within a trading team.</p><p></p><p><b>
Principal Responsibilities</b></p><ul><li>
Rapid development and release of applications: process automation, intelligent alerts, interactive visualizations, and portfolio analysis tooling</li><li>
Develop and enhance the existing platform for quantitative and portfolio manager team members</li><li>
Work on building out the Python codebase using the FastAPI, Flask, or other web frameworks</li><li>
Oversee the entire full stack development of the platform</li><li>
Integrate market data APIs from vendors and Millennium&rsquo;s own database and transform the data for the team&rsquo;s non-relational database</li><li>
Collaborate with team on best practices and overall business strategy</li></ul><p></p><p><b>
Qualifications/Skills Required</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline</li><li>
4+ years of professional software or quant engineering experience</li><li>
Strong applied knowledge of web base application development using React and/or Angular</li><li>
Strong programming skills in Python both in web application development and data engineering/science tooling such as Numpy, Pandas, and/or PyTorch</li><li>
Experience AI forward deployments agent orchestration frameworks &amp; MCP</li><li>
Strong SQL experience preferred for the pricing model's performance</li><li>
Experience using agentic coding workflows using Cursor, Claude code, etc.</li><li>
Experience with developing dashboards and other data visualization applications with Plotly, Matplotlib, Bokeh, Dash, etc.</li><li>
Experience using AWS technologies such as S3, Athena, SQS, Batch, Lambda</li><li>
Experience with Linux is a plus</li><li>
Extremely organized and a self-starter with effective multitasking and prioritization skills</li><li>
Highly motivated, willing to take ownership of work, drive to solve problems and work effective under pressure</li><li>
Excellent written and verbal communication skills, willing to proactively engage other team members in fostering a strong collaborative team-oriented environment</li><li>
Good team player with a strong willingness to participate and help others.</li><li>
Able to prioritize in a fast moving, high pressure, constantly changing environment; High sense of urgency</li></ul><p></p><div><div><div><div><div><div><p>
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</p></div></div></div></div></div></div></div>

Full Stack Engineer - Portfolio Team

ALICE + OLIVIA

<div>
 <p>
  Location: New York, NY or Secaucus, NJ (Hybrid)
 </p>
 <p>
  Decision Science Engineer (Applied Data Scientist)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   POSITION SUMMARY:
  </strong>
 </p>
 <p>
  ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
  </li>
  <li>
   Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
  </li>
  <li>
   Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
  </li>
  <li>
   Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
  </li>
  <li>
   Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
  </li>
  <li>
   Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
  </li>
  <li>
   Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
  </li>
  <li>
   Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
  </li>
  <li>
   Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
  </li>
  <li>
   Document methodologies and assumptions to support long-term ownership and institutional knowledge.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS:
  </strong>
 </p>
 <ul>
  <li>
   4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
  </li>
  <li>
   Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
  </li>
  <li>
   Proficiency in Python for data analysis, modeling, and production-grade code.
  </li>
  <li>
   Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
  </li>
  <li>
   Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
  </li>
  <li>
   Familiarity with experiment design and causal inference.
  </li>
  <li>
   Experience with time-series forecasting at scale.
  </li>
  <li>
   Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
  </li>
  <li>
   Experience working with messy, real-world data and designing models that support business judgment.
  </li>
  <li>
   Ability to reason about semantic or ontology-based data models.
  </li>
  <li>
   Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
  </li>
  <li>
   Long-term ownership mindset for maintaining and evolving models over time.
  </li>
  <li>
   Hands-on experience building or contributing to Palantir Foundry Workshop applications.
  </li>
  <li>
   Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
  </li>
  <li>
   Exposure to agent-based or AI-assisted analytics workflows.
  </li>
  <li>
   Experience working within a formal data governance or steerco-driven prioritization structure.
  </li>
  <li>
   Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ADDITIONAL INFORMATION:
  </strong>
 </p>
 <p>
  This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 </p>
 <p>
  <br/>
 </p>
 <p>
  $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 </p>
</div>


Data Scientist

Viam

<div><div><p><b>About Viam</b></p>
<p>
Founded by Eliot Horowitz, co-founder and former CTO of MongoDB, Viam is a novel robotics engineering platform that lets you configure, control, and manage robots intuitively and quickly. We&rsquo;re inspiring a generation of engineers to solve complicated automation problems with our uniquely powerful suite of software tools.<br>
<br>
We&rsquo;re a ~100-person company headquartered in New York City.</p></div><div><p><b>
The Engineering Challenge</b></p>
<p>
Building software for machines introduces challenges that traditional software systems rarely face. Devices operate in real-world environments, networks are unreliable, and software must interact with hardware, sensors, and real-time data. At Viam, engineers build the platform and tools that make those machines programmable, observable, and manageable at scale.</p>
<h4 class="jobSectionHeader"><b>
About the Role</b></h4>
<p>
New York City (Hybrid 3+ days per week in office)</p>
<p>
We are looking for a Lead Engineer to own the technical direction and delivery of our Data/ML function. This is a hands-on leadership role where you will manage a team, make architectural decisions, and code.</p>
<p>
The Data/ML team owns the infrastructure that moves data from devices to the cloud and makes it usable across the Viam platform. Performance, reliability, usability, and correctness affect every solution built on Viam. On top of that foundation, the team also owns the ML infrastructure that turns that data into models: training workflows, labeling pipelines, and inference in both cloud and at the edge. Some of the interesting challenges they solve: handling an unusually wide variety of data types from devices that are frequently offline, building auto-labeling and training workflows at scale, and expanding cloud inference across multiple model backends.</p>
<p>
Tech stack is Go and Python with a Svelte frontend, running ML workloads on GKE using TensorFlow, TFLite, and ONNX, with MongoDB Atlas, GCP, and Azure for the data layer. You will report to the VP of Engineering.</p>
<h4 class="jobSectionHeader"><b>
What You'll Own</b></h4>
<p>
Engineers at Viam own problems from product design through production and play an active role in shaping how the platform evolves.</p>
<ul>
<li>Lead and develop a team of 5+ engineers: set direction, run planning, ship reliably, and grow the team through coaching, feedback, and performance conversations</li>
<li>Write code and ship features alongside your team across the full stack, from backend infrastructure through UI</li>
<li>Own the architecture of the data pipeline end to end, from device to cloud, including storage, querying, and the APIs that power the rest of the platform</li>
<li>Drive the reliability and performance of ML training and inference infrastructure, from custom training workflows to the services that power auto-labeling and model evaluation</li>
<li>Have opinions on what gets built and how users experience it, and bring those into product decisions early</li>
<li>Own cross-team problems through to resolution, working closely with Computer Vision, Fleet Management, Mobile, and Solutions Engineering</li>
</ul><h4 class="jobSectionHeader"><b>What You Bring</b></h4>
<p>
We are looking for a technical lead with strong systems judgment and product instincts who can set direction and stay hands-on.</p>
<ul>
<li>You have led engineers and know how to develop them, not just manage them</li>
<li>You have a background building and scaling backend or platform infrastructure in production</li>
<li>You have shipped APIs and UIs and think about both as part of the same product problem</li>
<li>You have sound judgment on system design and tradeoffs under real constraints</li>
<li>You have product instincts and use them: when something is being built the wrong way, you say so early</li>
<li>You make decisions with incomplete information and have a bias toward shipping over planning</li>
<li>You have a track record of driving cross-team projects from ambiguity to production</li>
<li>Experience with data-intensive systems, streaming pipelines, or ML infrastructure</li>
</ul>
<p>Experience with robotics or IoT is not required.</p>
<h2 class="jobSectionHeader"><b>
How We Work</b></h2>
<p>
Our culture emphasizes ownership, curiosity, and decisive execution.</p>
<ul>
<li>This space has brand new challenges and we all have an appetite to learn</li>
<li>Good work in production beats perfect work in review</li>
<li>We know that the best teams help each other succeed through feedback</li>
</ul>
<p>The salary for this role is between $220,000 - 250,000 /year. Your exact offer will vary based on factors, including experience level, skillset, market location, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced, or more senior, than this job description as posted. In these situations, the updated salary range will be communicated to you as a candidate.</p></div><div><h3 class="jobSectionHeader"><b>
Full-time Benefits</b></h3>
<div>
<p>Viam&rsquo;s base salary range for this role is posted above. In addition to cash compensation, Viam offers a comprehensive Total Rewards package that includes equity grants, health benefits, and more.</p>
<ul>
<li>100% covered medical/dental/vision insurance plans, commuter benefits</li>
<li>25 days paid vacation and generous holiday observances</li>
<li>Free lunch every day that you&rsquo;re in the office</li>
<li>One Medical Membership</li>
<li>Citi Bike memberships</li>
<li>Monthly wellness stipend to be used for a variety of fitness-related items like gym memberships, fitness classes, fitness equipment, and more</li>
<li>Paid parental leave</li>
<li>Reproductive Health Benefits, including Fertility Benefits and Abortion Access Travel Benefits</li>
<li>Yearly Learning and Development Budget for your own personal learning goals</li>
</ul><h3 class="jobSectionHeader"><b>Values:</b></h3>
<ul><li>Vision Driven</li>
<li>Collaborate Openly</li>
<li>Act Decisively</li>
<li>Succeed Through Diversity</li>
<li>Hold Ourselves Accountable</li>
<li>Lead with Curiosity</li>
</ul><h3 class="jobSectionHeader"><b>To all recruitment agencies:</b></h3>
<p>
Viam does not accept unsolicited agency resumes or calls from recruitment agencies or search firms. Please do not forward resumes to our jobs alias or Viam employees. Viam is not responsible for any fees related to unsolicited resumes.</p></div></div></div>

Lead Software Engineer, Data Platform

Capgemini

<p></p><div><div><div><div><div>New York, NY, United States (On-site)</div></div><div></div><div><div>
Contract (7 months 15 days)</div></div><div></div><div><div>
Published 2 days ago</div></div></div><div><div><div>
ML Frameworks</div></div><div><div>
mlops</div></div><div><div>
 Python</div></div><div><div>
typescript</div></div><div><div>
cross - functional collaboration</div></div></div><div><div><ul><li><p>
At least 7 years of experience Strong in Gen AI ML Python TypeScript Palantir Foundry is an advantage</p></li><li><p>
Design and implement AIML models tailored to specific business problems preferably Insurance including generative LLM models and traditional ML approaches</p></li><li><p>
Select appropriate algorithms and architectures based on data characteristics performance requirements and usecase complexity</p></li><li><p>
Conduct feature engineering hyperparameter tuning and model validation to optimize performance and generalizability</p></li><li><p>
Strong proficiency in Python TypeScript and ML libraries eg TensorFlow PyTorch scikitlearn</p></li><li><p>
Evaluate model performance using statistical metrics and realworld testing ensuring robustness and fairness</p></li><li><p>
Collaborate with crossfunctional teams business product managers to integrate models into production environments</p></li><li><p>
Monitor maintain and retrain models to ensure continued accuracy relevance and compliance with ethical standards</p></li><li><p>
Document model development processes for reproducibility and knowledge sharing across teams</p></li><li><p>
Stay current with advancements in ML algorithms generative architectures eg transformers graph neural networks and tooling eg MLflow Kubeflow Hugging Face and so on</p></li><li><p>
An added advantage if worked on Palantir Foundry AIP Functions<br>
<br>
<br>
</p></li></ul><p>The pay range that the employer in good faith reasonably expects to pay for this position is $43.34/hour - $67.72/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
</p><p></p><p>Tundra Technical Solutions is among North America&rsquo;s leading providers of Staffing and Consulting Services. Our success and our clients&rsquo; success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.</p></div></div></div></div><p></p>

Palantir Sr Data Engineer

Rokt

<div>
 Rokt is a global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt's AI Brain and ecommerce Network powers 10 billion+ transactions per year for hundreds of millions of customers, and is trusted to do this by the world's leading companies.
 <br/>
 <br/>
 We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue&mdash;and often all their profits&mdash;from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.
 <br/>
 <br/>
 <strong>
  We are looking for Junior Software Engineers
  <br/>
  <br/>
 </strong>
 At Rokt, we practice transparency in career paths and compensation. We have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability.
 <br/>
 <br/>
 Target total compensation of $90,000 - $170,000, including a fixed annual salary of $85,000 - $150,000, an employee equity plan grant, and world-class benefits.
 <br/>
 <br/>
 Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.
 <br/>
 <br/>
 <strong>
  <strong>
   About The Role:
   <br/>
   <br/>
  </strong>
 </strong>
 This is an entry-level/early career role designed to help you grow as a Builder (engineer) while contributing to meaningful work. You will learn from experienced colleagues and gain hands-on experience building a diversity of services, from internal tools through to Rokt's internet scale production systems.
 <br/>
 <br/>
 You will build broad knowledge and experience across systems, software, data, and data science, with regular opportunities to work across different domains and teams as you grow as a Builder at Rokt.
 <br/>
 <br/>
 <strong>
  <strong>
   Requirements
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design &amp; Build Innovative Products: Develop and iterate on next-generation ecommerce features and services, leveraging your computer science fundamentals and AI tooling to create &amp; improve intelligent, personalized ecommerce experiences.
  </li>
  <li>
   Accelerate Development with AI: Leverage AI tools and automation to speed up coding, testing, and deployment, so you and other builders can focus on creative problem-solving and quality.
  </li>
  <li>
   Full-Stack Product Ownership: Work across the entire product lifecycle - from ideation and prototyping to implementation and continuous improvement - ensuring each feature delivers real value.
  </li>
  <li>
   Collaborate &amp; Innovate: Partner with product managers, designers, and other engineers to conceptualize and implement AI-driven solutions that enhance user experience and drive business outcomes.
  </li>
  <li>
   Optimize &amp; Scale: Identify performance bottlenecks and opportunities for improvement in our systems. Use data insights to refine user interfaces, optimize algorithms, and ensure our platform can scale to billions of transactions.
  </li>
  <li>
   Drive Revenue Growth: Spearhead the development and deployment of innovative features and capabilities that directly drive growth of the business, with the potential to generate millions of dollars in additional revenue.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Who You Are
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   AI-Enthusiast &amp; Quick Learner: You embrace new technologies on the forefront of AI development and learn rapidly, adapting to innovative tools and workflows to stay ahead of the curve.
  </li>
  <li>
   Problem Solver: You excel at breaking down complex problems using first principles and creativity. Challenges are puzzles you're excited to solve.
  </li>
  <li>
   Entrepreneurial Mindset: You take ownership of outcomes, move fast with confidence, and aren't afraid to navigate ambiguity&mdash;figuring things out independently when needed.
  </li>
  <li>
   Collaborative Team Player: You communicate clearly and work well with cross-functional teams. You value feedback, share ideas openly, and help others succeed.
  </li>
  <li>
   Driven &amp; Results-Oriented: You set high standards for your work, take pride in delivering quality, and continually seek to improve. You care about the impact of your code on the business and customers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Benefits
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  About The Benefits:
  <br/>
  <br/>
 </strong>
 We Leverage Best-in-class Technology And Market-leading Innovation In AI And ML, With All Of That Being Underlined By Building And Maintaining a Fantastic And Inclusive Culture Where People Can Be Their Authentic Selves, And Offering a Great List Of Perks And Benefits To Go With It:
 <br/>
 <br/>
 <ul>
  <li>
   Become a shareholder. Every Rokt'star gets equity in the company
  </li>
  <li>
   Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!
  </li>
  <li>
   Extra leave (bonus annual leave, sabbatical leave etc.)
  </li>
  <li>
   Work with the greatest talent in town
  </li>
  <li>
   See the world! We have offices in New York, Seattle, Sydney, Tokyo and London.
   <br/>
   <br/>
  </li>
 </ul>
 We believe we're better together. We love spending time together and are in the office most days (teams are in the office minimum 4 days per week).
 <br/>
 <br/>
 We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing &amp; keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 <br/>
 <br/>
 If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.
 <br/>
 <br/>
 Note on Recruitment Process: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.
</div>


Junior Software Engineer

Lead, Product Content Engineering

Rogo

<div>
 <strong>
  Why Rogo
  <br/>
  <br/>
 </strong>
 At Rogo, we are building Wall Street's first true AI banker. Our mission is to empower finance professionals at the world&rsquo;s top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We are not just improving financial workflows; we are redefining them from the ground up.
 <br/>
 <br/>
 This is a unique opportunity to join a generational company at a key inflection point. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.
 <br/>
 <br/>
 Our team is sharp, motivated, and deeply committed to the mission. We operate with intensity, take ownership of complex problems, and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.
 <br/>
 <br/>
 <strong>
  What You Will Own
  <br/>
  <br/>
 </strong>
 As an AI researcher at Rogo, you will be at the cutting edge of translating recent technological breakthroughs into transformative financial products. You will leverage the latest developments in LLMs and Reinforcement Learning &ndash; technologies we believe will fundamentally reshape knowledge work &ndash; placing you at the heart of this exciting transformation.
 <br/>
 <br/>
 <ul>
  <li>
   Architect end to end learned systems combining the power of LLMs and Reinforcement Learning to automate entire financial workflows
  </li>
  <li>
   Design and build large-scale infrastructure for evaluating answer and response quality, and directly feed this data back into learned systems as a reward
  </li>
  <li>
   Partner closely with product managers and engineers to ensure every solution you build delivers genuine user value and is guided by real needs
  </li>
  <li>
   Raise the bar for code quality, reliability and product velocity. Collaboratively, you'll push yourself and peers to develop technically and interpersonally.
   <br/>
   <br/>
  </li>
 </ul>
 What You Will Need
 <br/>
 <br/>
 <ul>
  <li>
   Bachelors in Computer Science or related degree.
  </li>
  <li>
   3-6 years of experience working on large language model training or post-training (or equivalent PhD)
  </li>
  <li>
   Highly proficient in writing LLM training code in PyTorch or JAX
  </li>
  <li>
   Experience with a strongly typed language (e.g., Rust, C++, or Java)
  </li>
  <li>
   Strong programming skills and general Computer Science knowledge
   <br/>
   <br/>
  </li>
 </ul>
 Bonus
 <br/>
 <br/>
 <ul>
  <li>
   Experience working directly in training or post-training LLM at a frontier lab (OpenAI, Anthropic, DeepMind, Meta)
  </li>
  <li>
   Experience with deep reinforcement learning in any context (autonomous vehicles, robotics, or LLMs)
  </li>
  <li>
   Experience working with data generated by human experts for model training
  </li>
  <li>
   Financial services experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup.
  </li>
  <li>
   You are ambitious. You have fun solving problems that others think are impossible.
  </li>
  <li>
   You are curious. You find joy in learning about AI, technology, and finance.
  </li>
  <li>
   You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity.
  </li>
  <li>
   You are collaborative, organized, thoughtful, and kind.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Rogo?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional traction: strong PMF with the world's largest investment banks, hedge funds, and private equity firms.
  </li>
  <li>
   World-class team: we take talent density seriously. We like working with incredibly smart, driven people.
  </li>
  <li>
   Velocity: we work fast, which means you learn a lot and constantly take on more.
  </li>
  <li>
   Frontier technology: we're developing cutting-edge AI systems, pushing the boundaries of reinforcement learning and published research, redefining what's possible, and inventing the future.
  </li>
  <li>
   Cutting Edge Product: Our platform is state-of-the-art and crazily powerful. We're creating tools that make people smarter, reinventing finance works.
  </li>
 </ul>
</div>


AI Researcher

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