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Remote Machine Learning Postdoc Jobs in Concord, NC

The Hartford

AVP Applied AI

Charlotte, NC · On-site +1

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Airspace

FP&A Analyst

Charlotte, NC · On-site +1

$70K - $80K/yr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... Location: Carlsbad, CA (Hybrid) or Remote Compensation Salary range: $70,000 - $80,000 * High ...

Crowe LLP

Cyber AI Security Manager

Charlotte, NC · On-site +1

$108K - $146K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Act as the security expert in designing, developing, and deploying secure AI and machine learning ...

Cnx

Head of Product

Concord, NC · Remote

This position will be remote/WAH and can be performed anywhere in the United States. About iX Suite ... Applied experience with AI or machine-learning products in production. Skills and Attributes * Deep ...

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Remote Machine Learning Postdoc information

What is a remote machine learning postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are the key skills and qualifications needed to thrive as a remote machine learning postdoc?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What job categories do people searching Remote Machine Learning Postdoc jobs in Concord, NC look for?

The top searched job categories for Remote Machine Learning Postdoc jobs in Concord, NC are:

What cities near Concord, NC are hiring for Remote Machine Learning Postdoc jobs?

Cities near Concord, NC with the most Remote Machine Learning Postdoc job openings:

Remote Machine Learning Postdoc jobs near you

AVP Applied AI

The Hartford Financial Services Group, Inc.

Charlotte, NC • On-site, Remote

Full-time

Re-posted 17 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

58th of 315 rated insurance

Job description

AVP Data Science - GD05AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford's Business Insurance. This role partners closely with underwriting, product, actuarial, and technology leaders to deliver scalable, production ready models and -AI driven- decision systems that support complex risks, bespoke products, and profitable growth across specialty markets.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or lines of business. Translate enterprise and business-unit AI priorities into multi-year portfolio roadmaps and investment plans.
  • Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval-augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.
  • Lead and develop Sr. Directors and Directors. Build leadership bench strength through succession planning, coaching, and capability development. Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio. Reinforce shared expectations for quality, evaluation rigor, and production readiness.
  • Provide portfolio-level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence. Ensure consistent adoption of approved AI standards, patterns, and guardrails.
  • Review and thoughtfully evaluate portfolio-level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade-offs across quality, grounding, latency, cost, scalability, and regulatory risk.
  • Accountable for consistent application of evaluation and monitoring practices across the portfolio. Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs. Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure-mode analysis, and incident response expectations. Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.
  • Set portfolio-level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout-aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability. Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.
  • Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced. Escalate material risks, trade-offs, and investment decisions to VPs with clear options and implications.
  • Partner with senior leaders across Product, Technology, Operations, Claims, Underwriting, Finance, and HR to align Applied AI delivery with business outcomes. Influence portfolio funding, prioritization, and workforce planning through evidence-based assessments of delivery performance, evaluation outcomes, and risk considerations.
  • Oversee portfolio-level planning, dependencies, resourcing, and financial stewardship. Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes. Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.

Skills
  • Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.
  • Proven ability to lead Sr. Directors and Directors, building durable leadership capacity and consistent operating discipline across organizations.
  • Strong technical and regulatory fluency across applied AI, including generative and agentic AI, retrieval-augmented systems, evaluation and monitoring practices, and production AI operations, sufficient to review, inform, and govern senior-level decisions.
  • Applied understanding of unstructured data and retrieval approaches, including document ingestion pipelines, OCR, layout-aware extraction, embeddings, hybrid and dense retrieval, reranking, metadata and lineage management, and PII controls.
  • Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance-by-design expectations.
  • Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi-year horizons.
  • Ability to influence VPs and senior partners through clear, data-driven communication of technical trade-offs, evaluation outcomes, portfolio risks, and business impact.

Education, Experience, Certifications and Licenses
  • 12+ years of applicable experience with a Bachelor's degree; fewer years may be accepted with a higher degree. Master's or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.
  • 7-10+ years leading leaders, large portfolios, or complex programs.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$182,400 - $273,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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