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Bayesian Optimization Jobs in New York (NOW HIRING)

Sr Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

... optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems • Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK ...

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

High-performance model implementation (vectorization, profiling/optimization); familiarity with PyTorch or JAX * Ecological modeling methods: agent-based, ODE/PDE, network, and Bayesian/statistical ...

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems * Constraint modeling ...

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems * Constraint modeling ...

Improve existing strategies and portfolio optimization * Execution monitoring * Be a core ... Bayesian inference-as well as techniques for dealing with errors that can occur, such as auto ...

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems * Constraint modeling ...

Improve existing strategies and portfolio optimization * Execution monitoring * Be a core ... Bayesian inference-as well as techniques for dealing with errors that can occur, such as auto ...

Jr Data Scientist

Brooklyn, NY · On-site

$70K - $85K/yr

Familiarity with SEO analytics and organic search performance measurement * Experience with Power ... Background in Bayesian statistics, regression analysis, or causal inference Exposure to GCP in ...

AI Researcher

New York, NY · On-site

$175K - $250K/yr

... optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian ...

... optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian ...

AI Researcher - Vatic Labs

Manhattan, NY · On-site

$175K - $250K/yr

... optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian ...

Showing results 21-40

Bayesian Optimization information

What is the difference between Bayesian Optimization vs Data Scientist?

AspectBayesian OptimizationData Scientist
Primary FocusOptimizing complex functions and hyperparametersAnalyzing data, building models, deriving insights
Required SkillsStatistics, probability, machine learning, programmingStatistics, programming, data analysis, visualization
Work EnvironmentResearch labs, AI/ML teams, R&D departmentsBusiness, tech companies, consulting firms
Common ToolsPython, R, Bayesian libraries (e.g., GPy, scikit-optimize)Python, R, SQL, visualization tools

Bayesian Optimization is a specialized technique used within machine learning and AI to efficiently tune hyperparameters or optimize functions. Data Scientists often utilize Bayesian Optimization as part of their toolkit but have broader responsibilities, including data analysis, modeling, and reporting. While Bayesian Optimization focuses on optimization tasks, Data Scientists work on understanding and interpreting data to inform business decisions.

What job categories do people searching Bayesian Optimization jobs in New York look for? The top searched job categories for Bayesian Optimization jobs in New York are:
What cities in New York are hiring for Bayesian Optimization jobs? Cities in New York with the most Bayesian Optimization job openings:
Infographic showing various Bayesian Optimization job openings in New York as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Sr Software Engineer

Scale

Manhattan, NY • On-site

$134K - $177K/yr

Full-time

Re-posted 19 days ago


Job description

Job Summary:
Scale Microgrids is seeking a full-stack software engineer to build software that efficiently manages microgrids and other distributed energy resources. The role involves front-end development, backend services architecture, financial modeling, and collaboration with stakeholders to deliver robust software products.
Responsibilities:
• Front-end development: build web applications with modern, interactive UIs for operators and customers
• Architect and maintain high-performance backend services and APIs (FastAPI, PostgreSQL) to support real-time microgrid operations, telemetry data pipelines, and optimization workflows at scale
• Develop and enhance financial modeling features, building reliable calculation engines and data integrations that support portfolio-level analysis and investment decision-making
• Design and validate mathematical optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for generator dispatch and fleet-level maintenance scheduling, including heuristic approaches, OPH projection, and constraint-based planning
• Build and extend simulation infrastructure (rolling dispatch, Monte Carlo scenario analysis) to validate optimization outputs, refine algorithmic approaches, and auto-tune model parameters against operational requirements
• IoT and messaging pipelines: design and maintain scalable data ingestion, transformation, and event-driven pipelines (MQTT, AWS IoT, SQS, Sparkplug B)
• System design: collaborate with product management and design to deliver robust software products that excite users and achieve business goals
• Reliability & observability: implement logging, monitoring, and alerting for high availability microgrid software deployments
• Collaboration: work with stakeholders across engineering, operations, and product to turn workflows into production-ready automation
• Continuous improvement: assess and adopt new technologies to enhance performance, scalability, and maintainability
Qualifications:
Required:
• 5+ years of experience with Python and JavaScript/TypeScript development
• Energy experience and modeling, optimization
• Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems
• Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK)
• FastAPI and microservices experience
• React for front-end development
• PostgreSQL and relational database design
• Experience with high-volume, time-series data processing
• Experience with message brokers and IoT protocols (MQTT, Sparkplug B, AWS IoT Core)
• Experience with SCADA platforms (e.g., Ignition or equivalent) and deployment and management of edge devices
• Experience with SCADA/energy protocols such as Modbus, OpenADR, DNP3, or IEEE 61850
• Excellent communication and collaboration skills to work across teams with evolving requirements
Preferred:
• Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred
Company:
Founded in 2016, the company is headquartered in Ridgewood, USA, with a team of 51-200 employees. The company is currently Growth Stage.