Father’s Day is right around the corner, and the last day to order FanGraphs merchandise and have it arrive in time for the holiday is June 12. We ship everything USPS Priority mail, so it typically takes 2-3 days to arrive, with some remote locations potentially taking longer.

Below, I’ve curated a brief list of potential gifts for the dad in your life. Read the rest of this entry »

Data Scientist, Innovation – Baseball Analytics

DEPARTMENT: R&D Baseball Operations
ORGANIZATION: Chicago Cubs
REPORTS TO: Assistant Director, Baseball Analytics
LOCATION: Chicago, IL
FLSA STATUS: Exempt
COMPENSATION: $80,000 – $150,000 USD

BEING PART OF THE TEAM
Our business is a team sport that began on a field with baseballs and bats and has evolved into one of the most recognizable brands in sports and entertainment through Cubs baseball and live events. Our success is driven by our people, who work to create and inspire change in an engaging, collaborative and inclusive environment. As a team, we continue to build a culture on and off the field that delivers unforgettable experiences for one another, our fans and community. In support of that effort, we expect associates to work primarily in our office. Are you ready to be part of it?

OUR STORY
The Chicago Cubs franchise, a charter member of Major League Baseball’s National League since 1876, has won the National League pennant 17 times and was the first team to win back-to-back World Series titles in the 1907 and 1908 seasons. In 2016, the Chicago Cubs made history again when the team won its first World Series in 108 years, ending the longest championship drought in North American sports. Known for its ivy-covered outfield walls, hand-operated scoreboard and famous Marquee, iconic Wrigley Field has been the home of the Chicago Cubs since 1916 and is the second oldest ballpark in Major League Baseball. In 2009, the Ricketts family assumed ownership of the Chicago Cubs and established three main goals for the organization: Win the World Series, Preserve and Improve Wrigley Field, and Be a Good Neighbor.

HOW YOU’LL CONTRIBUTE
The Chicago Cubs are seeking a Data Scientist, Innovation within Baseball Analytics focused on advancing analytics, modeling, and applied research across Baseball Operations. This role will focus on developing cutting-edge machine learning models, exploring novel analytical approaches, and translating complex baseball data into actionable insights.

This position emphasizes innovation in modeling, experimentation, and analytical rigor. The ideal candidate thrives in research-driven environments, pushing the boundaries of predictive modeling, simulation, and multimodal data analysis to improve player evaluation, player development, and performance analysis.

THE DAY-TO-DAY:

Machine Learning & Advanced Modeling

• Develop and evaluate machine learning and statistical models for player evaluation and performance analysis
• Design and implement time-series, probabilistic, and simulation-based models
• Apply modern deep learning techniques (e.g., attention models, multimodal learning)
• Explore and apply generative modeling approaches beyond LLMs

Analytics Innovation

• Conduct research into new modeling techniques and analytical frameworks
• Prototype and experiment with novel approaches to improve predictive performance
• Translate complex datasets (tracking, video, sensor data) into structured insights

Research & Thought Leadership

• Stay current with advancements in AI, machine learning, and sports analytics
• Serve as a subject matter expert on modeling approaches and statistical methods
• Partner with stakeholders to identify high-impact analytical opportunities

WHAT YOU’LL BRING:

• Strong experience with machine learning frameworks (PyTorch, TensorFlow, etc.)
• Deep understanding of statistical modeling and data science workflows
• Experience working with complex and high-dimensional datasets
• Proficiency in Python, SQL, and version control

WHAT SETS YOU APART:

• 5+ years in machine learning, data science, or applied research
• Experience with multimodal data (video, tracking, sensor data)
• Background in sports analytics, preferably baseball
• Experience with simulation or probabilistic modeling frameworks

TOTAL REWARDS:

• On-site parking
• Transit benefits
• Paid time off: Personal, Sick, Vacation Time, Office Holidays & Winter Break
• Flexible work arrangement 
• Casual work attire environment 
• Complimentary Meal & beverage plan
• Cubs home game & spring training game ticket allotment
• Access to campus wide Wrigley Field events & pre-sales
• 401K Plan Employee Contribution & Employer Match  
• Benefit Plans: Medical, Dental, Vision & Life Insurance 
• Health & Wellness engagement & programming
• Variety of associate special events, volunteer opportunities and partnership discounts
• Tuition Reimbursement
• Free access to EV charging stations

* This job posting includes the anticipated compensation, which reflects the hourly rate or salary range the Chicago Cubs and its affiliates are considering for this role in the specified location(s) as of the posting date. Where anticipated compensation is a salary range, the actual base salary offered within that range will be reflective of the candidate’s skills and experience.

The Chicago Cubs and its affiliates embrace diversity and are committed to building a team that represents all communities. We hold ourselves accountable to include new and different voices in our organization. Everyone is welcome here, and we celebrate what makes each of us unique.

Response Expectations:
Due to the overwhelming number of applications we receive, we unfortunately may not be able to respond in person to each applicant. However, we can assure you that you will receive an email confirmation when you apply as well as additional email notifications whether you are selected to move forward for the position or not. Please note, we keep all resumes on file and will contact you should we wish to schedule an interview with you.

The Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the Chicago Cubs.

As you may recall, last month we rolled out the FanGraphs Baseball Simulator as part of FanGraphs Lab. A couple of days later, we added a home field advantage feature.

Well, we’re back with even more features!

Historical Players, Marcel Projections, and Season Stats

You can now select any player from all of baseball history for your simulations. Want Babe Ruth’s 1923 season outcomes in your sim? Not a problem! Want a 1999 version of Pedro Martínez on the mound? You can do that too! Read the rest of this entry »

Direct links to applications (please see job details below):

Baseball Analytics Fellow
Baseball Analytics Associate

Baseball Analytics Fellow

ABOUT US

The Colorado Rockies Baseball Club is embracing the climb, committed to building a championship-caliber organization on the field, in the clubhouse, and throughout our business operations. Playing at altitude presents unique competitive challenges and opportunities, and we embrace innovation, collaboration, and evidence-based practices to support elite performance. Rooted in the traditions of America’s pastime, we operate with integrity, service, quality, and trust while striving to create an exceptional experience for our players, staff, and fans.

ABOUT THE ROLE

The Baseball Analytics Fellow will support Baseball Operations and Research & Development by preparing, analyzing, and communicating data-driven insights that inform game strategy, player evaluation, scouting, and player development processes. This role is designed for an early-career analyst with strong technical skills, intellectual curiosity, and a desire to apply quantitative methods to meaningful baseball questions.

In this role, you will work with analysts, coaches, scouts, and Baseball Operations leadership to develop reports, visualizations, models, and research outputs that are clear, timely, and actionable. The ideal candidate is highly autonomous, communicates frequently, manages up effectively, and is comfortable supporting fluctuating baseball-season workflows.

RESPONSIBILITIES

Advance Preparation & Game Strategy

• Assist in the preparation, quality review, and distribution of advance scouting reports for upcoming opponents.
• Monitor daily lineups, roster moves, transactions, and other league information to support game planning and analysis.
• Conduct ad hoc research to inform game strategy, including analysis of ABS-related questions and comparisons across players, teams, and game situations.
• Coordinate and deliver advanced reports to Major League staff in a timely, usable format.

Research, Modeling & Data Preparation

• Assist analysts with data preparation, validation, cleaning, and quality checks for modeling and reporting workflows.
• Support predictive modeling projects by preparing datasets, engineering features, checking assumptions, and validating outputs.
• Conduct research related to player development, scouting, player personnel, league trends, and other Baseball Operations priorities.
• Support R&D staff with highly technical analysis, model development, and exploratory research based on departmental needs and the Fellow’s skills and interests.

Reporting, Visualization & Communication

• Develop visualizations, dashboards, lightweight tools, and other mechanisms for disseminating analytical results across Baseball Operations.
• Translate complex technical findings into clear, concise, and actionable insights for both technical and non-technical stakeholders.
• Provide written summaries, presentations, and recommendations that clearly describe methodology, assumptions, limitations, and practical implications.
• Help maintain and QA internal datasets, reports, and recurring workflows to ensure accuracy and consistency across sources.

Operational Support

• Provide operational support across Baseball Operations and R&D, including recurring reporting, special projects, and time-sensitive requests.
• Take ownership of assigned tasks and small-to-medium projects, driving them forward with limited day-to-day supervision.
• Collaborate with analysts, developers, scouts, coaches, and front office personnel to understand needs and deliver practical solutions.
• Contribute to a positive, curious, and collaborative Baseball Operations environment.

QUALIFICATIONS:

Required

• Bachelor’s degree in a technical, quantitative, or otherwise relevant field, or equivalent demonstrated experience.
• Proficiency with SQL and at least one statistical programming language, such as R or Python.
• Experience preparing, cleaning, validating, and analyzing large or complex datasets.
• Foundational understanding of statistics, modeling, data visualization, and research design.
• Strong written and verbal communication skills, including the ability to explain analytical work to technical and non-technical audiences.
• Demonstrated ability to work autonomously, manage competing priorities, communicate frequently, and proactively surface questions or risks.
• Passion for baseball and curiosity about using data to support player evaluation, player development, scouting, and in-game decision-making.

Preferred

• Degree or coursework in statistics, mathematics, computer science, data science, engineering, economics, operations research, physics, or a related technical field.
• Experience with AWS or another cloud environment.
• Experience using Git or similar version control workflows.
• Experience developing web applications, dashboards, or interactive tools, including R Shiny, Python-based web apps, or similar frameworks.
• Experience with machine learning, predictive modeling, simulation, computer vision, or player-tracking data.
• Prior experience using AI tools to support software development, application building, analysis, or workflow automation; experience with Claude or similar tools is a plus.
• Familiarity with public baseball research, baseball datasets, player evaluation concepts, scouting processes, or advanced scouting workflows.

SCHEDULE & TRAVEL

• This role follows the rhythm of the baseball season and requires flexibility based on game schedules, reporting cycles, and Baseball Operation’s needs.
• Workload and schedule may fluctuate throughout the season based on game schedules, trade deadlines, draft preparation, player evaluation cycles, and other departmental priorities.

PHYSICAL REQUIREMENTS

• Sedentary work: regularly required to remain in a stationary position, use a computer, communicate via phone/video/email, and review information on screens for extended periods.
• Occasionally required to move within an office or ballpark environment and attend meetings or events in person.

COMPENSATION & BENEFITS

• Salary: at the rate of $58,000 per year. The role is expected to earn approximately $25,000 for the duration of the assignment through October 31, 2026.
• This role may come with a housing stipend for non-local candidates.
• Full benefits package including medical, dental, vision, 401(k), PTO, and more, subject to plan eligibility and applicable policies.

APPLICATION PROCESS:

• Applications will be reviewed on a rolling basis but must be received by May 22, 2026. Please note that this is just an estimate, and the posting may be removed or extended at any time.
• The estimated time to complete the recruitment process will be by June 15, 2026.
• A note for Colorado Rockies employees:
  • Please apply via the internal job board in UKG by following these prompts: MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
  • If you cannot access UKG, please list your most recent Manager as an Employee Reference on your application.

To Apply
To apply, please follow this link.

Baseball Analytics Associate

ABOUT US

The Colorado Rockies Baseball Club is embracing the climb, committed to building a championship-caliber organization on the field, in the clubhouse, and throughout our business operations. Playing at altitude presents unique competitive challenges and opportunities, and we embrace innovation, collaboration, and evidence-based practices to support elite performance. Rooted in the traditions of America’s pastime, we operate with integrity, service, quality, and trust while striving to create an exceptional experience for our players, staff, and fans.

ABOUT THE ROLE

The Baseball Analytics Associate will provide part-time analytical, reporting, visualization, and operational support to Baseball Operations and Research & Development. This role is well suited for a current student or early-career analyst who can contribute independently to recurring reports, data validation, ad hoc research, and lightweight tools while continuing to build technical and baseball operations experience.

RESPONSIBILITIES

Advance Preparation & Game Strategy

• Assist in the preparation, quality review, and distribution of advance scouting reports for upcoming opponents.
• Monitor daily lineups, roster moves, transactions, and other league information to support game planning and analysis.
• Conduct ad hoc research to inform game strategy, including analysis of ABS-related questions and comparisons across players, teams, and game situations.
• Coordinate and deliver advanced reports to Major League staff in a timely, usable format.

Research, Modeling & Data Preparation

• Assist analysts with data preparation, validation, cleaning, and quality checks for modeling and reporting workflows.
• Support predictive modeling projects by preparing datasets, engineering features, checking assumptions, and validating outputs.
• Conduct research related to player development, scouting, player personnel, league trends, and other Baseball Operations priorities.
• Support R&D staff with highly technical analysis, model development, and exploratory research based on departmental needs and the Fellow’s skills and interests.

Reporting, Visualization & Communication

• Develop visualizations, dashboards, lightweight tools, and other mechanisms for disseminating analytical results across Baseball Operations.
• Translate complex technical findings into clear, concise, and actionable insights for both technical and non-technical stakeholders.
• Provide written summaries, presentations, and recommendations that clearly describe methodology, assumptions, limitations, and practical implications.
• Help maintain and QA internal datasets, reports, and recurring workflows to ensure accuracy and consistency across sources.

Operational Support

• Provide operational support across Baseball Operations and R&D, including recurring reporting, special projects, and time-sensitive requests.
• Take ownership of assigned tasks and small-to-medium projects, driving them forward with limited day-to-day supervision.
• Collaborate with analysts, developers, scouts, coaches, and front office personnel to understand needs and deliver practical solutions.
• Contribute to a positive, curious, and collaborative Baseball Operations environment.

QUALIFICATIONS:

Required

• Currently enrolled in or recently completed an undergraduate (Junior going into Senior Year), graduate, PhD, postdoctoral, or technical program, preferably with a quantitative or technical focus.
• Experience with SQL and R or Python.
• General cloud experience, AWS exposure preferred.
• Experience with Git or similar version control preferred.
• Ability to communicate clearly, manage time independently, and provide frequent updates in a remote or hybrid environment.
• Interest in baseball analytics, player evaluation, advanced scouting, and/or game strategy.
• Ability to work in the United States and maintain availability during required Mountain Time work windows.

Preferred

• Degree or coursework in statistics, mathematics, computer science, data science, engineering, Experience with AWS or another cloud environment.
• Experience using Git or similar version control workflows.
• Experience developing web applications, dashboards, or interactive tools, including R Shiny, Python-based web apps, or similar frameworks.
• Experience with machine learning, predictive modeling, simulation, computer vision, or player-tracking data.
• Prior experience using AI tools to support software development, application building, analysis, or workflow automation; experience with Claude or similar tools is a plus.
• Familiarity with public baseball research, baseball datasets, player evaluation concepts, scouting processes, or advanced scouting workflows.

SCHEDULE & TRAVEL

• This role follows the rhythm of the baseball season and requires flexibility based on game schedules, reporting cycles, and Baseball Operations needs.
• Workload and schedule may fluctuate throughout the season based on game schedules, trade deadlines, draft preparation, player evaluation cycles, and other departmental priorities.

PHYSICAL REQUIREMENTS

• Sedentary work: regularly required to remain in a stationary position, use a computer, communicate via phone/video/email, and review information on screens for extended periods.
• Occasionally required to move within an office or ballpark environment and attend meetings or events in person.

COMPENSATION & BENEFITS

• Salary: at the rate of $19.29 per hour for the duration of the assignment through October 31, 2026.
• Part-time benefits include 401(k), sick time, and access to the Employee Assistance Program, subject to plan eligibility and applicable policies.

APPLICATION PROCESS:

• Applications will be reviewed on a rolling basis but must be received by May 22, 2026. Please note that this is just an estimate, and the posting may be removed or extended at any time.
• The estimated time to complete the recruitment process will be by June 15, 2026.
• A note for Colorado Rockies employees:
  • Please apply via the internal job board in UKG by following these prompts: MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
  • If you cannot access UKG, please list your most recent Manager as an Employee Reference on your application.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the Colorado Rockies.

The Retro FanGraphs Sweatshirt is back in stock!

We partnered with the clothing brand Ellsworth & Ivy to make these retro-themed FanGraphs sweatshirts. They have fully stitched chenille lettering and a stitched logo near the bottom hem:

As a quick reminder, when we put these up for sale in January, they sold out in 24 hours. So get yours before they’re gone!

Over in the RosterResource corner of the site, Jason Martinez and I get a lot of suggestions for things to add, none more popular than something to the effect of “Can we get a way to look at all 30 teams at once?” And now you’ve got it, with the Roster Grid. This was a popular feature in the pre-FanGraphs days of RosterResource, and now it’s back and better than ever:

The view defaults to all 30 teams, grouped by division and stacked (i.e., you’ll scroll down to see more teams), but using the toggles you can customize your viewing experience to:

• Flip lineups from the team’s “go-to” vs. righties to their “go-to” vs. lefties.
• View just a single league or division.
• Switch to a “packed” view such that all of your selected teams will be in a row, allowing for scrolling from left or right (this may be your preferred view for mobile).

This view isn’t meant to replace the main RosterResource pages, which include full 40-man rosters, notable minor league players, lineups, bullpen usage, and statistics. Rather, it’s a quicker “at a glance” view of who’s currently active, versus on the IL, Paternity List, Restricted List, Bereavement List, or Family Medical Emergency List. And for Members, it’s exportable to Excel!

Feedback is welcome and much appreciated, so if you think we’re missing anything that could be incorporated into a future edition of the Roster Grid, please leave a comment!

And of course, as always, thanks to all of our readers and Members for your support. We couldn’t have made all of the additions we have to RosterResource this year without you.

Last week, we released a baseball simulator in the FanGraphs Lab. This week, we’re adding home field advantage to the simulator. You can toggle HFA on and off using a new menu option:

The chosen home field advantage will then be applied to whatever simulation you run. But how do we calculate home field advantage in this simulated environment? Let’s go over it. Read the rest of this entry »

Front-End Software Engineer – KinaTrax

Location: Remote
Contract: Full-Time, Permanent
Salary: $101,000 – $134,000
Start Date: Asap

About Us:
KinaTrax’s mission is to provide professional and collegiate teams with game-changing insights about their most valuable asset: their athletes. We deliver research-grade markerless motion capture technology that allows teams to collect in-game biomechanical performance data on their athletes. KinaTrax camera systems are currently deployed in over 50 stadiums & labs across MLB, MiLB, & NCAA organizations – and expanding rapidly. Our comprehensive data capture and analysis tools are operationalized for daily use by players, GM’s, coaches, trainers, medical staff, and beyond. As the market leader in Major League Baseball, KinaTrax has established itself as a foundational part of the teams’ day-to-day strategy and decision-making machine. But we aren’t finished. We are constantly innovating and looking to recruit talented teammates to help us continue to revolutionize this space. Your contributions will focus on bringing the next generation of athlete performance data, across a variety of sports, to teams worldwide.

Job Summary:
The Software Engineer – Front End will work alongside the larger KinaTrax product development team with a particular focus on KinaTrax data visualization tools including but not limited to KinaTrax Dugout. KinaTrax Dugout is a baseball specific web application tool which allows our clients flexibility for analyzing, comparing, and interpreting their KinaTrax data. You will be tasked with maintaining the current web application tools and assisting with further development efforts, including but not limited to the addition of new UI features and biomechanics metrics based on client needs. You will also be tasked with leading the integration of novel data sources into pre-existing and future web applications with the goal of developing data visualization tools that can be used for applied purposes based on sport specific needs.

You will work alongside other members of the development team to ensure that KinaTrax data visualization tools continue to progress based on industry trends and the incorporation of client feedback. As part of your role, you may collaborate with other members of the product development team on specific projects outside of the data visualization space, where at times you may be expected to be a task or project lead.

Key Responsibilities:

• Continued development of the KinaTrax Dugout web application tool based on company needs and client requests.
• Lead the maintenance of pre-existing functions and dependencies in the KinaTrax Dugout web application tool.
• Development of new software applications, with priority on the development of web reporting applications for additional sports (i.e. NBA, NHL).
• Implement reusable components and contribute to improving the shared component library across web reporting applications.
• Integration of data using API concepts from a variety of sources, with the aim of optimizing data ingestion.
• Utilize data-driven solutions to ensure company information is stored effectively and securely.
• Perform proper quality assurance testing when implementing development changes to production.
• Work closely with other developers and clients when applicable to improve site design and overall user experience.
• Stay up to date with front-end trends and bring forward suggestions for tools or techniques that improve productivity or code quality.
• Update user documentation based on UI changes and data availability.
• Assist with non-data visualization product development tasks.

Qualifications/Experience:

• Proficient in programming languages including JavaScript (React, Node.js), HTML, CSS.
• Proficient with integration of browser APIs for optimizing data ingestion for visualization purposes.
• Experience in using cloud storage and computing platforms (i.e. AWS, Azure, Cloudflare, Dropbox).
• Experience using coding concepts aimed at optimizing performance and memory efficiency.
• Experience using Git for code collaboration purposes.
• Proven ability to work in a team setting, preferably as part of a product development team.
• Passion for sports and the use of athlete performance metrics.

Additional Information:

• Extended periods of computer usage.
• Some travel to company locations and client sites may be needed.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by KinaTrax.

For most of the first two weeks of the 2026 season, just about everything was coming up Yankees. In what was supposed to be a highly competitive division, the Yankees burst out of the gate with eight wins in their first 10 games. None of those victories came against pushover teams, and they were also convincing wins, with the lineup scoring more than twice the team’s runs allowed. Just as importantly, the teams expected to rival the Yankees all got off to mediocre (or worse) starts. The Bronx Bombers had a 3 1/2 game cushion in the AL East, about as large as one can reasonably hold in a tough division after 10 games. Then, things happened.

After the games of April 7, ZiPS had the Yankees with a projected two-game edge in the East, and a 35% chance of winning the division. While these numbers didn’t suggest dominance or anything remotely resembling a guarantee, that was a four-game swing from the preseason projected standings (New York was initially two games back of Boston) and a solid bump from their 20% odds to win the division.

While none of the games were one-sided affairs, the Yankees proceeded to drop five in a row against the Athletics and Rays, only winning on Monday in the ninth inning against the Angels after a Jordan Romano meltdown. Had they lost, it would have left the Yankees without a share of first place for the first time this season. Read the rest of this entry »

Applied AI Engineer

Summary
The New York Mets are seeking an Applied AI Engineer to build and ship production-grade AI capabilities that improve decision-making and streamline workflows across Baseball Operations. This role sits at the intersection of Baseball Systems (software engineering), Data Engineering, Baseball Analytics, Performance Technology, and modern generative AI. You will develop reliable AI-powered applications such as retrieval-augmented generation (RAG), secure tool/data integrations (MCP-style patterns), and agentic workflows that can support deep work and research, while ensuring strong standards for quality, security, privacy, and operational excellence.

This is a hands-on role for an engineer who can translate ambiguous baseball operations and player development needs into working software, iterate quickly with stakeholders, and harden solutions into durable systems used daily by analysts, coaches, scouts, and baseball operations staff.

Note: This role will require extensive in-person collaboration and innovation alongside stakeholders, analysts, and engineers. Applicants must be local to NYC (or willing to relocate) and be able to travel to Citi Field regularly. Travel to Spring Training and affiliates may also be required.

Essential Duties & Responsibilities

• Design, build and maintain AI-powered product experiences that provide intuitive access to baseball information and statistics and workflows across internal systems.
• Develop end-to-end RAG pipelines (ingest, chunking, embedding, retrieval, generation) with strong attention to answer quality, baseball relevancy, analytics accuracy, latency, and cost.
• Implement secure tool and data connectors for AI assistants and agents using standardized patterns (MCP-style), enabling safe interaction with internal APIs, data warehouses, and services.
• Build agentic workflows that can execute multi-step tasks (research, analysis, synthesis, report generation) with clear guardrails, auditability, and human-in-the-loop approvals.
• Partner closely with Product, Analytics, Performance Technology, Player Development, and Baseball operations stakeholders to frame problems, define success, and deliver measurable impact.
• Contribute to shared engineering standards and reusable components so AI capabilities scale across multiple products and teams.
• Ensure strong security and privacy practices (access control, data boundaries, logging and auditing, and safe handling of sensitive information).
• Participate in high-availability support expectations as needed during critical operational periods throughout the baseball season, and during feature releases.

Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including building and operating production services.
• Demonstrated experience building LLM-powered applications in production (prompt/program design, structured outputs, tool calling, reliability patterns).
• Practical experience with retrieval systems (search, embeddings, vector databases, ranking, chunking/indexing) and applying them to real workflows.
• Strong experience with modern backend and data integration fundamentals: APIs, SQL, distributed systems, and cloud infrastructure (GCP/AWS/Azure)
• Proficiency in one or more production languages commonly used for AI applications and services (e.g. Python and/or Typescript)
• Approach work as highly collaborative and stakeholder-driven, with the ability to operate in ambiguity while iterating quickly.
• Strong written and verbal communication skills with the ability to explain tradeoffs to technical and non-technical audiences.
• Experience working in sports, health, finance, or other high-stakes analytics-heavy environments, preferred.
• Strong interest in baseball and comfort working within the culture of a professional sports organization, preferred

he above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.

The New York Mets value the unique qualities individuals with various backgrounds and experiences can offer the organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.

Salary Range: $180,000 – $200,000

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the New York Mets.