Remote Algorithms engineer jobs

We are looking for talented Algorithm engineers to participate in the design, development, and delivery of new metrics for evaluating and implementing algorithms to work with various data sets. Get work from home job opportunities at Turing and work with the leading Silicon Valley companies.

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Job description

Job responsibilities

  • Develop and implement innovative algorithms and architectures in a challenging environment
  • Take an active part in the research and development of various algorithms
  • Work on problem formulation, algorithm, and software design along with the implementation
  • Implement and integrate algorithmic features to a high scale production system
  • Identify patterns or problems in data sets and improve existing applications
  • Build, install, test, and analyze algorithms for evaluation purposes
  • Collaborate with other engineers, relevant stakeholders, and clients to enhance algorithm efficiency

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of experience as an Algorithms engineer (rare exceptions for highly skilled candidates)
  • Proficiency in algorithms and data structures with a provable experience
  • Experience in optimized implementation, design, and deployment of algorithms
  • Strong programming skills with experience in languages such as Python, C++, etc.
  • Excellent problem solving and analytical skills
  • Fluency in English to collaborate with engineering managers
  • Work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Passion for cutting-edge technologies and product delivery
  • Capable of maintaining, testing, and analyzing existing algorithmic components into large-scale systems
  • Experience in Unix/Linux including basic commands and scripting
  • Strong knowledge of source control systems (Git, Merging, Branching, Pull Requests)
  • Extensive software skills to build and analyze the performance of algorithms
  • Proven record as a problem solver in a related algorithmic field

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How to become an Algorithms engineer?

Algorithm engineers, also known as algorithm developers, are in charge of the design and implementation of algorithms. When implemented in a software or computer environment, well-designed algorithms provide effective solutions. Algorithm engineers create algorithms that are helpful in a variety of fields, such as web engineering, signal processing, and more.

Because of the similarities in shared coding languages, algorithm engineers are sometimes considered highly proficient programmers. Algorithm engineers frequently develop algorithms aimed to help clients or employers resolve issues or achieve desired results.

Among other reputable information technology careers to consider, an algorithm engineer's career is ideal for individuals who have a knack for specialized technology, coding languages, and data sets, as well as a passion for problem-solving.

What is the scope in Algorithms engineering?

Algorithm development is the process of designing step-by-step instructions that can be efficiently followed by a computer or similar device programmed to solve a particular problem. Computer algorithms used today are increasingly sophisticated and shape how billions of people perceive the world. Google search algorithms, those used across social media platforms such as Facebook, Instagram, and YouTube, and many others deliver results based on previous searches and data. Applied effectively, algorithms dictate what information we receive.

By looking at the rate at which companies and developers are adapting to algorithms, it is safe to say that the scope of the Algorithms engineer is very broad.

What are the roles and responsibilities of an Algorithms engineer?

AI engineers help clients or employers identify patterns or issues in data sets by developing algorithms that are appropriate for each situation. The role of an algorithm engineer typically includes the development, implementation, and analysis of algorithms for performance evaluation.

Algorithm engineers do more than just create new algorithms as needed. They are also in charge of analyzing their algorithms against expectations, as well as assessing technology and data efficiency in order to inform a company's results. They work towards enhancing the efficiency of AI and ML systems.

An algorithm engineer will be responsible for a variety of tasks, the majority of which are related to the development of algorithms for use in AI systems. An algorithm engineer's specific job responsibilities may include:

  • The development of algorithms for AI applications that recognize patterns in data and come to conclusions from them.
  • Algorithm testing for AI technology, software programs, and machine-learning applications.
  • Testing algorithm results to see how successful an algorithm is at crawling data sets, problem-solving, and decoding information.
  • Algorithm reporting to recognize and present findings in easy-to-read report formats.
  • Explore prospective algorithm developments to improve algorithm efficiency.
  • Communicate with teammates, algorithm engineers, and clients.

These primary responsibilities define an algorithm engineer's day-to-day activity, which necessitates both regular troubleshooting and constant communication.

How to become an Algorithms engineer?

Algorithm engineer jobs are highly specialized positions within the information technology field.

To apply for Algorithms engineering jobs, you need to have at least a bachelor’s degree in the relevant fields of computer science or mathematics. Also, some experience in software development and programming would give you a better chance over the competition.

An algorithm developer is responsible for creating algorithms that solve problems using a set of defined steps to reach a goal. Algorithm developers create algorithms that help organizations achieve their goals. A developer solves a problem by writing an algorithm, which is a process that involves taking raw data, critically analyzing it, and writing a set of rules that take into account all possible factors in order to generate meaningful answers that are customized to business objectives.

Some businesses prefer that each function be handled by a different person, whereas others combine algorithm development and programming. Because algorithm development is a highly specialized field, it can be beneficial to gain experience with a variety of programming languages and popular frameworks to improve job marketability. To land a job as an algorithm developer, it's also beneficial to be well-versed in a variety of programming languages and software platforms. Applying to openings with an insightful Algorithm engineer resume will also help to increase the chances of finding success. Because this is not an entry-level position, progressive field experience is required.

Now, let us discuss the skills you'll need to learn in order to become a successful Algorithms engineer:

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Skills required to become an Algorithms engineer

To become an Algorithms engineer at a Silicon Valley tech company, you need to master the skills listed below.

1. Algorithms

An algorithm is a step-by-step procedure that solves a problem in a finite number of iterations. In other words, it is a collection of well-defined
guidelines are written in human-readable language for finding an optimal solution for any given problem.

When you write code, you are essentially creating a solution in the form of a program. Algorithms aid in making the correct decision or providing the correct solution. Knowledge and intellect about algorithms can be extremely beneficial when coding. For every unique problem, there is at least one algorithm that can help in achieving the desired result.

2. Python

Python is a programming language that is both dynamic as well as high-level. This general-purpose programming language can be used for a variety of purposes such as web development, artificial intelligence, machine learning, operating systems, mobile application development, video game development and has since become a favorite of the tech industry.

Python code adheres to the 'object-oriented' paradigm, making it suitable for both complex projects as well as smaller programs. It is a relatively simple programming language with a well-organized structure making it very easy to learn. Python's versatility and simple syntax make it the best choice for a wide range of projects.

3. Machine learning

Machine learning is a data analysis technique that automates the process of building analytical models. It is an approach to artificial intelligence that enables systems to learn from experience and make decisions independently. Machine learning is a way of using computers to simulate the learning process. It enables machines to get better at a particular task over time, without being explicitly programmed. Machine learning is frequently used in combination with other types of computer programs, especially statistical programs, to produce faster and more accurate results than could be achieved by the equivalent human or software alone.

4. Technical and analytical competencies

Algorithm developers create and improve the software as part of the information technology talent pool. These programmers use systematic problem-solving to create code that instructs a computer on what to do. Algorithms are short-cuts that generate the desired result. Algorithm developers must be computationally proficient, have a code-management mindset, and have a clear vision of the desired outcome.

5. Soft skills

One of the biggest challenges algorithm developers face is communication, so it’s important for them to possess strong interpersonal skills and the ability to effectively convey their ideas to other stakeholders.

Collaboration with those within and outside of IT is a key aspect of this position, as is communicating with team members. Well-rounded developers must explain an algorithm’s functional components to those without tech skills while balancing patience with persistence in order to focus on solving problems.

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How to get remote Algorithm engineer jobs?

Developers are a lot like athletes. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while they’re practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote Algorithms engineer jobs that suit your career trajectories as an Algorithms engineer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote Algorithms engineer jobs with better compensation and career growth.

Why become an Algorithms engineer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Algorithms engineers?

At Turing, every Algorithms engineer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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briefcase
Senior Full-Stack LLM -FDE-level (Onshore)

Senior Full-Stack LLM - FDE-level (Onshore)
Dallas Texas - Work from Office
We should focus should be on FDE-level candidates(Foundational/Frontline / Forward Development Engineers)—strong fundamentals in system design, problem-solving, and overall engineering depth are key.

We are seeking an experienced Full Stack Engineer who possesses extensive hands-on expertise across the contemporary technology stack and a collaborative mindset. The ideal candidate will effectively collaborate with cross-functional teams, introduce and advocate for the most recent tools and frameworks, and drive engineering excellence throughout the organization.

As part of this role, the candidate will be responsible for designing and developing high-quality, production-grade code while adhering to industry best practices, coding standards, and architectural principles. Beyond individual contributions, the candidate will play a pivotal role in mentoring and training Jr developers—guiding them through code reviews, knowledge-sharing workshops to accelerate their growth, strengthen their technical foundation, and foster a culture of continuous learning within the team.

Must-Have Technologies: ReactJS, Java 17+, Microservices, AWS/Azure, RDBMS, NoSQL

Core Technical Skills

· 10+ years of hands-on software development experience, with deep expertise in modern Java Full Stack development.

· Strong command of Java frameworks and libraries, including Spring, Spring Boot, and Hibernate.

· Proven experience building single-page web applications using ReactJS, Bootstrap, and Nodejs.

· Hands-on experience designing, developing, and deploying cloud-based architectures on AWS, Azure, or equivalent platforms.

· Expertise developing Java and Spring Boot applications backed by both relational (SQL Server / PostgreSQL) and NoSQL (MongoDB / Elasticsearch) databases.

· Practical experience integrating Large Language Models (LLMs) into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).

· Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.

· Understanding of responsible AI practices, including data privacy, hallucination mitigation, evaluation, and guardrails.

· Solid hands-on experience developing production applications, data processing scripts, automation tooling, or backend services in Python.

· Working knowledge of modern security frameworks and standards such as OAuth 2.0, OpenID Connect, and JWT.

· Proficient in designing and building RESTful APIs and web services following industry best practices.

· Strong SQL development skills, including query optimization and performance tuning.

· Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test-driven development.

· Solid understanding of front-end architecture principles and data-driven UI development.

· Demonstrated ability to write clean, efficient, and maintainable code that adheres to coding standards and best practices.

· Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues.

Leadership & Soft Skills

· Proven ability to lead, mentor, and grow engineering teams, fostering a culture of technical excellence and continuous learning.

· Experience driving architectural decisions and setting technical direction across cross-functional teams.

· Strong stakeholder management skills, with the ability to translate business requirements into scalable technical solutions.

· Track record of leading end-to-end delivery of complex projects, from design through deployment.

· Effective communicator who can articulate technical concepts clearly to both technical and non-technical audiences.

· Skilled at conducting code reviews, establishing engineering best practices, and raising the bar for code quality across the team.

· Ability to collaborate with product managers, designers, and business stakeholders to align engineering efforts with organizational goals.

· Experience coaching junior engineers, conducting performance reviews, and contributing to hiring and talent development.

· Strategic thinker who can balance short-term delivery pressures with long-term technical investments and technical debt management.

· Ownership mindset — takes accountability for outcomes and proactively drives initiatives forward.

Good to Have (Palantir)

· Hands-on experience with the Palantir foundry, including building pipelines, ontologies, and data-driven applications.

· Familiarity with Palantir's development tooling such as PySpark transforms, TypeScript-based Functions, Workshop.

· Exposure to enterprise-scale data integration and operational analytics workflows built on Palantir.

· Exposure to AI/ML frameworks and tooling such as LangChain, LlamaIndex, Hugging Face, or equivalent.

· Ability to identify and apply AI-driven solutions to real-world business problems and integrate them into enterprise applications.

Real Estate
10K+ employees
ReactJavaMicroservices+ 4
briefcase
Engineering Manager (Java, React – Playwright)

Job Title: Engineering Manager (Java, React, AI Tools)

Location: Dallas, Texas
Experience: 10+ years (with 3+ years in leadership roles)

About the Role

We are looking for an experienced Engineering Manager to lead a high-performing, full-stack engineering team working on scalable, enterprise-grade applications. This role requires a strong technical background across backend, frontend, data, and QA automation, along with proven leadership capabilities.

You will be responsible for driving technical excellence, mentoring engineers, and ensuring high-quality product delivery in a fast-paced environment.

Key Responsibilities

  • Lead and manage a cross-functional engineering team (backend, frontend, QA)
  • Drive design, development, and delivery of scalable applications using Java and React
  • Oversee end-to-end software development lifecycle, including architecture, coding, testing, and deployment
  • Champion automation-first QA practices using tools like Playwright (TypeScript)
  • Collaborate with product managers, designers, and stakeholders to define technical roadmaps
  • Ensure best practices in code quality, performance, security, and scalability
  • Mentor engineers, conduct code reviews, and support career growth
  • Improve team productivity through agile processes and engineering excellence
  • Work with data using SQL and Python for analytics, integrations, or backend processing
  • Leverage modern AI-assisted development tools (e.g., Cursor, Windsurf, Claude Code, OpenAI Codex, or similar) to enhance engineering productivity and efficiency

Required Skills & Qualifications

  • 10+ years of software engineering experience
  • 3+ years of experience in an Engineering Manager / Tech Lead role
  • Mandatory experience in the Retail domain
  • Demonstrated ability to operate at a strategic level, including defining team structures, ownership models, and long-term technical direction
  • Proven experience driving engineering outcomes beyond execution, including stakeholder alignment and measurable business impact
  • Strong hands-on experience with:Java (Spring Boot or similar frameworks)
    React / JavaScript (modern frontend frameworks)
    SQL and/or Python
  • Experience leading full-stack development teams
  • Solid understanding of system design, microservices, and APIs
  • Strong ability to think at system, product, and organizational level, including making architecture and business trade-offs
  • Experience with QA automation frameworks, especially:Playwright with TypeScript
  • Familiarity with CI/CD pipelines and modern DevOps practices
  • Hands-on experience leveraging AI tools (e.g., Cursor, Windsurf, Claude Code, OpenAI Codex, or similar) to improve developer productivity, code quality, or delivery workflows
  • Strong people management skills, including experience with performance management, team scaling, and handling team challenges
  • Ability to operate effectively in ambiguous environments and manage delivery risks
  • Excellent communication and stakeholder management abilities
Manufacturing
10K+ employees
Core JavaSpring BootReact+ 5
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