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Algorithmic Engineer Jobs in Queens, NY (NOW HIRING)

Genius Sports

AI Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Develop and compose models, algorithms, and inference pipelines that convert sports data into ...

Genius Sports

AI Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Develop and compose models, algorithms, and inference pipelines that convert sports data into ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products ... Research and implement appropriate ML algorithms and tools * Develop machine learning applications ...

Airspan

FPGA DESIGN ENGINEER

Warren, NJ · On-site

$127K - $176K/yr

Airspan Careers FPGA DESIGN ENGINEER Location: Warren, New Jersey or Plano, TX, Remote possible if ... Work with C/C++ and Python for algorithm modeling and hardware/software co-design. * Implement high ...

PHIHONG USA

Firmware Engineer

Bohemia, NY · On-site

Algorithm Development: Collaborate with hardware engineers to develop and optimize control algorithms for power conversion, voltage regulation, and protection mechanisms. * Integration and Testing:

Phihong USA Corp

Firmware Engineer

Bohemia, NY

Algorithm Development: Collaborate with hardware engineers to develop and optimize control algorithms for power conversion, voltage regulation, and protection mechanisms. * Integration and Testing:

Diverse Lynx Llc

Sr. GenAI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Solid understanding of data structures, algorithms, and software engineering principles ... Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML models.

Phihong USA Corp

Firmware Engineer

Bohemia, NY · On-site

$70K - $95K/yr

Algorithm Development: Collaborate with hardware engineers to develop and optimize control algorithms for power conversion, voltage regulation, and protection mechanisms. * Integration and Testing:

IDEX Corporation

Electrical Engineer

Rutherford, NJ · On-site

Control Algorithm Development * Creating or refining algorithms that control motor speed, torque ... Work cross-functionally with engineering, manufacturing, quality, sales, and product management ...

IDEX

Electrical Engineer

Rutherford, NJ · On-site

Control Algorithm Development * Creating or refining algorithms that control motor speed, torque ... Work cross-functionally with engineering, manufacturing, quality, sales, and product management ...

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Showing results 41-60

All JobsAlgorithmic Engineer JobsAlgorithmic Engineer Jobs in Queens, NY

Algorithmic Engineer information

See Queens, NY salary details

$62.1K

$116.5K

$211.8K

How much do algorithmic engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for algorithmic engineer in Queens, NY is $116,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $138,300.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

What are popular job titles related to Algorithmic Engineer jobs in Queens, NY? For Algorithmic Engineer jobs in Queens, NY, the most frequently searched job titles are:
What cities near Queens, NY are hiring for Algorithmic Engineer jobs? Cities near Queens, NY with the most Algorithmic Engineer job openings:
Algorithmic Engineer jobs near you
Infographic showing various Algorithmic Engineer job openings in Queens, NY as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,484 per year, or $56 per hour.

AI Engineer

Genius Sports

New York, NY • On-site

$125K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.
About the Role - AI Engineer, Sports AI
We're looking for an AI Engineer on our Sports AI team to help build the next generation of applied AI systems powering sports analysis, automation, and insights.
These systems use live and historical sports data, including tracking data, structured feeds, broadcast video, commentary, and text, to understand game context, detect & enrich key events, estimate the probability of future events, and generate insights. The outputs from these systems power a range of products and workflows, such as projecting which games or moments will be most exciting to fans and automating parts of manual play-by-play collection using CV/AI. The role spans a broad set of sports modeling and automation problems across multiple sports, including soccer, American football, and basketball.
This role sits at the intersection of machine learning, AI system design, and production engineering. You'll own scoped AI systems end-to-end: framing the relevant modeling problems, constructing the datasets needed to solve them, training and composing models and algorithms, building the inference pipelines that orchestrate them, and rigorously evaluating output quality against messy, real-world data.
You'll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in system outputs, and improving accuracy, latency, and reliability in real-time production workflows. In this role, hands-on ML/AI work will be central: understanding data, developing models and algorithms, evaluating outputs empirically, and iterating in production. You'll also apply LLMs and agentic workflows as part of your broader AI engineering toolkit.
Key Responsibilities
  • Own applied AI work end-to-end, from data exploration and early prototypes through evaluation, production integration, and iteration
  • Develop and compose models, algorithms, and inference pipelines that convert sports data into structured events, predictions, insights, and confidence-aware outputs
  • Build models for problems such as event detection, event likelihood estimation, fan interest & excitement projection, and automation of manual play-by-play collection
  • Work with messy, multimodal sports data from tracking systems, video and computer vision outputs, audio, commentary, text, and structured feeds, including imperfect labels and ambiguous real-world examples
  • Define and use metrics, evaluation datasets, and benchmarks to measure AI system quality and guide model, algorithm, and product decisions
  • Train, adapt, evaluate, and integrate ML models and AI components, including multi-step systems where model, algorithmic, and LLM/agent outputs are composed, validated, and refined
  • Design workflows that use human review or correction data to improve evaluation, model iteration, and production output quality where appropriate
  • Work closely with CV engineers on training pipelines, labeling workflows, and model deployment patterns
  • Partner with product, data platform, infrastructure, and systems engineers to integrate evaluated AI outputs into real-time sports products and automation workflows
  • Mentor junior teammates and contribute to team knowledge-sharing, reviews, and experiment design

Qualifications
  • 3+ years of experience building production ML, CV, or AI systems
  • Ability to translate ambiguous sports product goals into concrete ML tasks, including defining the prediction target, identifying the right data, measuring output quality, and shipping production-ready solutions
  • Hands-on production ML/AI experience, including constructing datasets, defining features and labels, training and deploying models, evaluating outputs empirically, and shipping AI system capabilities into production
  • Strong modeling judgment across deep learning and classical ML, with experience choosing approaches based on data inputs and problem structure
  • Experience with predictive modeling, event detection, data labeling, data quality improvement, and communicating experiment results to technical and non-technical stakeholders
  • Ability to evaluate AI system quality beyond anecdotal inspection, including reasoning about ambiguous outputs, imperfect labels, uncertainty, and real-world product tradeoffs
  • Strong production engineering fundamentals, including testing, observability, performance, and reliability
  • Demonstrated interest in the fast-moving landscape of LLMs, latest models, agentic AI systems, and development frameworks
  • Comfortable working in fast-moving, iterative environments with evolving requirements

Preferred Qualifications
  • Hands-on experience with LLM-integrated workflows, LLM APIs or cloud AI platforms such as AWS Bedrock, agentic AI systems, multi-agent systems, or evaluation of LLM/agent outputs in production workflows
  • Experience with ML/CV domains relevant to sports understanding, such as action recognition, sequence modeling, multimodal modeling, object detection, tracking, or player identification
  • Experience working with player tracking data, sports analytics, play-by-play data, labeling platforms, and/or ML training platforms such as Union
  • Experience collaborating with CV engineers or integrating CV model outputs into downstream ML workflows
  • Experience using human review or correction workflows to evaluate and improve AI system quality
  • Experience building production systems in Rust
  • Familiarity with streaming, event-driven, audio/video, or real-time data workflows is a plus
  • Background or strong interest in sports, especially soccer, American football, and basketball

The salary for this role is based on an annualized range of $170,000 - $200,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.
We enjoy an 'office-first' culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
As well as a competitive salary and range of benefits, we're committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

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