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Artificial Intelligence Machine Learning Remote Jobs in Red Bank, NJ

unitQ

Account Executive

New York, NY · On-site +1

... AI (artificial intelligence), NLP (natural language processing), and ML (machine learning) * Collaborate with SDRs to optimize lead generation and pipeline development based on real time, AI ...

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems. * Mentor and develop ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

Etsy

Senior Staff Machine Learning Engineer

Brooklyn, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

Bread Financial

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

... research in Artificial Intelligence (AI). Essential Job Functions * Lead the design, build ... Advanced machine learning modeling and/or technical expertise in developing market differentiation ...

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Artificial Intelligence Machine Learning Remote information

See Red Bank, NJ salary details

$26.2K

$43.7K

$90.3K

How much do artificial intelligence machine learning remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for artificial intelligence machine learning remote in Red Bank, NJ is $43,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,400.00 and $47,200.00 per year, depending on experience, location, and employer.

What are artificial intelligence machine learning remote jobs?

Artificial Intelligence (AI) Machine Learning (ML) remote jobs are positions where professionals work from home or any location outside a traditional office to develop, implement, and improve AI and ML systems. These roles typically involve building algorithms, analyzing data, training models, and deploying solutions for various applications such as natural language processing, computer vision, or predictive analytics. Remote AI/ML jobs offer flexibility and often require strong programming skills, knowledge of data science, and experience with frameworks like TensorFlow or PyTorch. Employers may range from tech companies to startups, research institutions, and consultancies. The demand for remote AI/ML professionals continues to grow as more organizations embrace digital transformation.

What are some typical challenges faced by remote artificial intelligence machine learning professionals, and how can they be addressed?

Remote AI/ML professionals often encounter challenges such as effective collaboration with cross-functional teams, maintaining clear communication on complex technical topics, and accessing necessary computational resources. These can be addressed by leveraging collaborative tools (like Slack, GitHub, and Zoom), establishing regular check-ins with colleagues, and utilizing cloud-based platforms for scalable computing. Proactively sharing progress and blockers also helps ensure alignment and project momentum, making remote work both productive and engaging.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer working remotely, and why are they important?

To thrive as an Artificial Intelligence/Machine Learning Engineer in a remote role, you need strong programming skills (especially in Python or R), a solid understanding of algorithms and statistics, and typically a degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms (like AWS or Azure), and familiarity with version control systems (e.g., Git) are crucial. Excellent problem-solving abilities, self-motivation, and clear written communication help remote engineers collaborate effectively and drive projects forward. These skills ensure technical competence, productivity, and seamless teamwork in a distributed work environment.

Is artificial intelligence machine learning a good career?

Artificial intelligence and machine learning are rapidly growing fields with high demand for skilled professionals. Careers in these areas often require knowledge of programming, data analysis, and algorithms, and can offer competitive salaries and remote work opportunities. The field is suitable for individuals interested in technology, problem-solving, and continuous learning.

What cities near Red Bank, NJ are hiring for Artificial Intelligence Machine Learning Remote jobs?

Cities near Red Bank, NJ with the most Artificial Intelligence Machine Learning Remote job openings:

Artificial Intelligence Machine Learning Remote jobs near you

Account Executive

unitQ

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

About unitQ
At unitQ, we leverage AI and advanced analytics to enable businesses to proactively monitor and improve product quality based on real-time user feedback from both public and private channels.
Backed by leading investors such as Zendesk, Accel, and Google, unitQ serves world-class clients, including Pinterest, PayPal, Dropbox, Adobe, Bumble and CashApp. Our mission is to help companies of all sizes deliver exceptional product experiences, optimize operational efficiency, and drive sustainable growth through continuous product quality improvement.
About the opportunity
As an Account Executive (AE) at unitQ, you will play a critical role in driving revenue growth by owning the full sales cycle from prospecting to close. You will engage with high-value accounts, develop relationships with key stakeholders, and demonstrate how unitQ's AI-powered platform delivers measurable business impact. As a key member of our sales team, you will collaborate closely with SDRs, marketing, and customer success to maximize sales effectiveness and customer satisfaction.This role requires a strong technical aptitude, particularly around data analysis, AI-driven solutions, and the ability to communicate complex technical concepts to a variety of stakeholders. You will need to understand how our AI-powered platform integrates with customers' existing technology stacks and how it can be leveraged to drive actionable insights.
Role responsibilities:
  • Own and manage the entire sales cycle, from prospecting to contract negotiations and closing deals.
  • Identify, qualify, and develop relationships with key decision-makers in target accounts.
  • Conduct product demonstrations and sales presentations, effectively translating technical features into business value including answering in depth questions related to AI (artificial intelligence), NLP (natural language processing), and ML (machine learning)
  • Collaborate with SDRs to optimize lead generation and pipeline development based on real time, AI (Artificial Intelligence) generated data pulled directly from data studio.
  • Maintain a strong pipeline of qualified opportunities and accurately forecast sales performance.
  • Utilize Salesforce.com to track all sales activities, customer interactions, and deal progress.
  • Stay up-to-date with industry trends, AI advancements including conversational AI platforms, natural language processing models, machine learning, agile project management, SaaS incident reporting software, and data visualization, and the competitive landscape to effectively position unitQ's value proposition.
  • Work cross-functionally with Marketing, Product, and Customer Success teams to ensure a seamless customer experience.
  • Meet and exceed quarterly and annual sales quotas.

About you:
  • Strong technical acumen with experience in data analysis, AI-driven solutions, and an ability to effectively communicate complex technical topics.
  • Familiarity with analytics tools, APIs, and AI/ML applications in business settings.
  • Proven track record of exceeding sales targets and closing high-value deals.
  • Excellent communication, negotiation, and relationship-building skills.
  • Self-motivated, results-oriented, and adaptable in a fast-paced, high-growth environment.
  • Experience with Salesforce, ZoomInfo, and other sales prospecting tools.
  • Strong problem-solving skills and the ability to think strategically about customer needs.
  • Coachable, open to feedback, and committed to continuous improvement.

Would Like to See:
  • Previous experience in a startup environment.
  • Experience selling AI-powered, data-driven, or analytics-based software solutions.
  • Familiarity with SQL, Python, or other data analysis tools is a plus.
  • Experience selling to product and engineering teams.

Benefits:
  • Flexible/unlimited vacation
  • Medical coverage through BlueShield and Kaiser
  • Dental and Vision coverage through Beam
  • 401(k) Plan
  • Life insurance
  • FSA and Dependent Care FSA Plans
  • $50/month internet/cell phone/equipment reimbursement
  • Generous leave policies
  • Equinox Gym Memberships - No Equinox near you? We offer a monthly stipend instead! (In place of an Equinox membership, we can offer $100/month as a wellness benefit)
  • Continuing education reimbursement
  • Stock Options

At unitQ, we believe that a diverse and inclusive team is key to building a great product. We celebrate the different cultures, perspectives, and experiences reflected across our team and will continue to build a diverse team as we grow.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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