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Associate Machine Learning Jobs in Basking Ridge, NJ

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Jobtailor

Capabilities Associate Director

Raritan, NJ · On-site

$130 - $180/hr

* Being a resource to help HEMA associates navigate the organization, by providing a structured ... Ensure awareness of new and evolving digital techniques (e.g., Machine Learning, Artificial ...

PepsiCo

Data Science Associate Manager

Manhattan, NY · On-site

PepsiCo is seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. The role involves driving the technical vision, execution, and ...

New York Life

Associate - Data Scientist

Manhattan, NY

$81K - $115K/yr

This role will support the development of AI solutions, spanning traditional Machine Learning, Generative AI, and Agentic AI. The role focuses on building core technical skills, learning enterprise ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Basking Ridge, NJ

Associate Machine Learning information

See Basking Ridge, NJ salary details

$32.5K

$137.1K

$324.1K

How much do associate machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for associate machine learning in Basking Ridge, NJ is $137,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $208,200.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What cities near Basking Ridge, NJ are hiring for Associate Machine Learning jobs?

Cities near Basking Ridge, NJ with the most Associate Machine Learning job openings:

Associate Machine Learning jobs near you

Senior Machine Learning Engineer, AI Agent Platform

GEICO

New York, NY • On-site

$114K - $157K/yr

Full-time

Re-posted 9 days ago

GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

166th of 311 rated insurance

Job description

Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Senior Machine Learning Engineer - AI Agent Platform
Position Description
GEICO is seeking an experienced Sr. ML Engineer to join our AI organization. You will play a key role in the development of GEICO's virtual assistant platform that elevates productivity for 30K+ internal associates and the customer experience for millions of policyholders. You will collaborate with a dynamic team of AI and software engineers to design, develop, and deploy systems that ensure productivity, scalability, and usability of GenAI workflows across GEICO.
AI Agent Platform Engineers are responsible for building key multi-tenant services that power the building, testing, simulation, deployment, and hosting of LLM-based AI agents. This includes contributing to AI agent skill ecosystems, harness and context engineering infrastructure, interoperability layers (MCP, Skills), and guardrail systems- working closely with Staff and Sr. Staff engineers who set the broader architectural direction. The ideal candidate should demonstrate a proven track record of building high-performance Generative AI Systems and platforms.
Responsibilities
  • Contribute to building an enterprise AI agent skill ecosystem - developing services that support authoring, publishing, discovering, and versioning reusable skill packages (SKILL.md standard). Implement skill marketplace features including search/discovery, security vetting pipelines, and progressive disclosure loading.
  • Build and maintain AI agent harness components - the non-model infrastructure (tool dispatch, context management, error recovery, session state) that makes AI agents reliable for long-running workflows. Implement feedforward guides and feedback sensors mixing computational and inferential controls.
  • Contribute to context engineering systems that manage the LLM context window - memory management, RAG pipelines, context compaction/summarization, scratchpads, and dynamic skill/tool loading - ensuring AI agents receive the right information at the right time.
  • Implement guardrail components including input validation, prompt injection defense, PII detection, output verification, and skill-level security scanning. Contribute to bounded autonomy systems, human-in-the-loop escalation paths, and audit trail infrastructure.
  • Contribute to experimentation of software platforms, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
  • Collaborate with cross-functional teams including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope, and prioritize feature backlogs for AI agent use cases.
  • Assist in the planning and estimation of software development projects, ensuring efficient allocation of resources and timely delivery of solutions.
  • Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company.

Basic Qualifications
  • 5+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python, or C#.
  • 4+ years of experience designing and building AI/ML platforms and systems utilizing open-source/cloud-agnostic components such as search engines (e.g., OpenSearch, Milvus), data warehouses (e.g., Snowflake), streaming platforms (e.g., Kafka), relational databases (e.g., PostgreSQL), NoSQL (e.g. Cassandra), distributed processing (e.g., Spark, Ray), workflow management (e.g., Airflow, Temporal), memory management (e.g., Redis/Valkey), etc.
  • 3+ years' experience contributing towards end-to-end software development lifecycles (version control, CI/CD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support, etc.).
  • 3+ years' experience building evaluation and observability systems for AI/ML models and LLMs, especially utilizing GPU-powered infrastructure.
  • Familiarity with harness engineering concepts - memory management, RAG, context/ tool management, guardrails, etc.
  • Strong communication and problem-solving skills to excel in dynamic, cross-functional decision-making environments.
  • Bachelor's degree or above in Computer Science, Engineering, Statistics, or a related field.

Preferred Qualifications
  • 3+ years' experience building conversational experiences and agentic workflows, leveraging open-source and proprietary LLMs
  • Experience contributing to AI agent harness infrastructure - tool dispatch, error recovery, session state management, or sub-agent coordination using feedforward/feedback control patterns.
  • Experience with AI agent skill systems - building or integrating reusable skill packages, skill registries, MCP servers, etc. along with governance & control measures.
  • Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI).
  • Experience with LLM observability platforms such as LangSmith, Langfuse, etc.
  • Experience building ai agent guardrails

Annual Salary
$105,000.00 - $230,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life's twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

What GEICO employees say

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936

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