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Home Based Remote Algorithms Engineer Jobs in New York

AI Architect Claude Code Senior Developer

NY ยท On-site +1

$160K - $220K/yr

... Be US-based (remote within the US) Have a strong background as a software engineer / senior ... Home office / equipment allowance Base Salary: $160,000 - $220,000 USD What Success Looks Like (6 ...

Remote work: 100% What do we need? * You would be a part of the team if, * You have 2 to 3 years of ... A competitive base salary of $30,000 - $50,000+ Commission based bonus of $20K Additional ...

S.-based remote candidates near a major airport Work Model: Hybrid or Remote Industry: Enterprise AI Infrastructure / Developer Tools Compensation: Competitive salary + equity About the Company Our ...

Senior Software Engineer - Remote

New York, NY ยท Remote

$134K - $176K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Home Visitor

New York, NY ยท Remote

$20.50 - $27/hr

... programming that builds up opportunities for children and families to thrive in school, work, and ... GRADS is an Early Head Start home-based program designed to promote the physical, social, emotional ...

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Home Based Remote Algorithms Engineer information

What are Home Based Remote Algorithms Engineers?

Home Based Remote Algorithms Engineers are professionals who design, develop, and optimize algorithms while working remotely from their home or any other location outside a traditional office. Their work often involves solving complex computational problems, improving software efficiency, and applying mathematical models to real-world challenges. They may work in industries like technology, finance, healthcare, or artificial intelligence, collaborating with teams online and using various programming languages. This role requires strong analytical skills, proficiency in programming, and the ability to communicate technical concepts effectively in a remote environment.

What are some common challenges faced by Home Based Remote Algorithms Engineers, and how can they be effectively managed?

Home Based Remote Algorithms Engineers often face challenges such as limited real-time collaboration, managing complex projects independently, and maintaining clear communication with distributed teams. To overcome these obstacles, it is important to leverage collaboration tools (like Slack or GitHub), set regular check-ins with team members, and establish clear documentation practices. Proactively seeking feedback and participating in virtual code reviews also helps maintain alignment and ensures code quality while working remotely.

What is the difference between Home Based Remote Algorithms Engineer vs Data Scientist?

AspectHome Based Remote Algorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Math, or related field; experience with algorithms and programmingBachelor's or Master's in Data Science, Statistics, or related field; proficiency in analytics tools
Work EnvironmentRemote, project-based, focused on algorithm developmentRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, software development companiesTech, finance, healthcare, marketing

Home Based Remote Algorithms Engineers focus on designing and optimizing algorithms, often requiring programming and mathematical skills. Data Scientists analyze data to extract insights, using statistical and machine learning techniques. While both roles can be remote and require similar educational backgrounds, their core responsibilities differ: algorithms engineers develop solutions, whereas data scientists interpret data.

What are the key skills and qualifications needed to thrive as a Home Based Remote Algorithms Engineer, and why are they important?

To thrive as a Home Based Remote Algorithms Engineer, you need a deep understanding of mathematics, computer science fundamentals, and experience in algorithm design, often backed by a relevant degree. Proficiency with programming languages such as Python or C++, version control systems like Git, and familiarity with cloud-based collaboration tools are typically required. Strong problem-solving skills, self-motivation, and effective written communication are critical for remote teamwork and independent project delivery. These competencies ensure you can develop efficient algorithms, collaborate remotely, and meet project goals in a distributed work environment.
What are popular job titles related to Home Based Remote Algorithms Engineer jobs in New York? For Home Based Remote Algorithms Engineer jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Home Based Remote Algorithms Engineer jobs? Cities in New York with the most Home Based Remote Algorithms Engineer job openings:

Pre-sales Engineer (US Based - Remote)

Duvo.ai

New York, NY โ€ข On-site, Remote

Full-time

Posted 6 days ago


Job description

Remote-first across the US. Occasional travel to Europe and to customer sites across the US.
About Duvo
Duvo helps large retailers and consumer-goods companies redesign and automate the operational processes that sit between systems and teams. Our agents execute the work end to end across ERPs, portals, inboxes, spreadsheets and phone calls, write the result back to the system of record, and provide evidence of what changed.
Our customers include one of Europe's largest online grocery retailers, a global beauty e-commerce brand, a Middle East retail group, and a European pharmacy chain. The buyer is usually a Head of Operations, Supply Chain, Finance or IT at a large retailer or FMCG brand. New deals land at โ‚ฌ100k-โ‚ฌ250k ARR.
About the role
Enterprise operations still depend on people moving work across ERPs, portals, spreadsheets, email, and phone calls. Duvo maps how these workflows really operate, redesigns the process, and uses AI agents to run the better version end to end - working through APIs and secure browser sessions, requesting approval when needed, writing verified changes back to core systems, and producing proof of what happened.
We focus on complex operational workflows in retail and consumer goods: supply chain, procurement, category management, merchandising, finance, and supplier management. Duvo raised a $15M seed round led by Index Ventures, with Northzone and Credo Ventures participating.
We're growing the pre-sales team to keep pace with demand - you'll join an existing team, working closely with Account Executives in your region.
This role sits between sales and engineering. You own the technical story in a deal, run the workshops with the customer's ops and IT people, and design the pilot that gets us from "this looks interesting" to a signed contract. You work closely with Account Executives in your region, report directly to Tom, and hand off cleanly to Forward Deployed Engineering once a pilot is signed.
This is a senior individual contributor role - you won't have direct reports, but you'll shape the pre-sales playbook the team runs on.
What you'll do
  • Run discovery and process mapping with customer teams - systems, handoffs, exceptions, approvals - and turn it into a pilot scope with a clear Definition of Done.
  • Connect the proposed solution to measurable business outcomes: margin, availability, working capital, revenue, or cycle time.
  • Build and demo pilots against the customer's own workflow, data shape, approval rules, and write-back targets. No generic decks.
  • Own the technical evaluation: security review, integration sizing, RFPs, architecture questions, and IT objections. Bring in Product or Engineering only when you genuinely need them.
  • Guide customers through early platform testing - kickoffs, first workflow captures, and resolving issues before they stall the evaluation.
  • Push back on scope, timelines, or success metrics that won't work - good judgment beats saying yes.
  • Stay in the deal through pilot delivery, then hand it over cleanly to Forward Deployed Engineering so what was sold is what gets built.
  • Build reusable demo assets, runbooks, and discovery patterns that make the whole team faster.

Who you are
  • 5+ years in pre-sales, solutions engineering, applied AI, enterprise automation, or forward-deployed work, selling or delivering into enterprise operations, IT, or finance buyers. Retail or consumer goods experience is a plus.
  • Hands-on with modern AI systems - LLMs, agentic workflows, tool use, evaluation, and their practical limits - not just conversant in the concepts.
  • Strong process discovery and systems thinking - you can understand an unfamiliar operation and find the leverage points.
  • Comfortable with APIs, JSON, webhooks, SQL, and light Python or JavaScript. You don't need to be a software engineer, but you can investigate and prototype.
  • Strong commercial judgment - you qualify use cases, size value, spot a buying signal, and know when to escalate.
  • Excellent communication - you shift altitude quickly between operators, architects, and executives, and explain complex systems in plain English.
  • A track record of crisp, discovery-led demos rather than long product monologues.
  • Fluent English. Willingness to travel to customer sites.
    You'll thrive here if you're
    • Customer-obsessed, commercially aware, and comfortable operating in ambiguity.
    • Fast and hands-on - you build the proof instead of waiting for a perfect spec.
    • Low ego, high standards - you listen closely and change your view when the evidence changes.
    • Honest about feasibility and risk, even when the answer is uncomfortable.
    • Calm under pressure when a live demo or integration doesn't behave as expected

What we offer
  • Competitive salary and equity. We share the range on the first call.
  • Seed-stage company backed by Index Ventures ($15M seed). Our founder and
    CEO is Tom Cupr, who previously founded one of Europe's largest online grocery
    retailers.
  • You're the first pre-sales hire in your region. The function is yours to build.
  • Remote across Europe / the US, with travel to customer sites in your region and a
    team offsite once a quarter.

How we hire
  1. Recruiter screen
  2. Hiring manager interview
  3. Practical discovery
  4. Final round

We aim to close the process in under three weeks.
If this is the kind of problem you want to spend your time on, get in touch.