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.

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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
Terminal Bench Expert

About the projects: 

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


About the Role: 

Looking for highly analytical engineers, researchers, and domain specialists to contribute benchmark tasks for AI agent evaluation systems (e.g., Terminal-Bench). Design realistic, technically deep tasks simulating real-world scenarios such as debugging, data corruption, infrastructure failures, and complex workflows.


What does day-to-day look like:

  • Design high-quality Terminal-Bench task ideas and specifications.
  • Develop complex tasks requiring reasoning, investigation, and debugging.
  • Write clear task descriptions, solution approaches, and verification logic.
  • Define deterministic, outcome-based evaluation criteria.
  • Identify realistic failure modes, edge cases, and operational constraints.
  • Create tasks that challenge AI systems while remaining solvable by experts.
  • Collaborate with reviewers to refine task quality and difficulty.
  • Contribute expertise across one or more specialized domains.

Required Skills:

  • 3–10 years of experience in software engineering or relevant domains.
  • Strong debugging, reasoning, and analytical skills.
  • Good understanding of system design, workflows, and dependencies.
  • Ability to analyze complex systems across multiple layers.
  • Experience with production systems, pipelines, or large-scale workflows.
  • Strong technical writing and documentation skills.
  • Exposure to LLMs, agentic systems, or AI evaluation frameworks.
  • Experience reviewing technical specifications or designing validation logic.

Domains (Any of the following):

  • Software Engineering & Code Operations
  • Debugging & Codebase Navigation
  • System Administration & Shell Workflows
  • File & Text Processing Pipelines
  • Data Engineering (ETL & Data Pipelines)
  • Database & SQL Operations
  • Machine Learning Pipelines & MLOps
  • Post-training & Model Finetuning Workflows
  • AI Evaluation & Benchmarking Systems
  • Retrieval, Search & Ranking Systems
  • GPU / Systems Performance Optimization
  • Distributed Systems & Infrastructure
  • Cloud & Platform Engineering
  • DevOps & CI/CD Systems
  • Build & Dependency Management
  • Scientific & Numerical Computing
  • Simulation & Optimization Systems
  • Formal Methods & Theorem Proving
  • Document & Structured Data Processing (PDFs, Excel, etc.)
  • Media Processing (Video, Audio, Images via CLI tools)
  • Programmatic Graphics & Design (SVG, layout, rendering)
  • Data Visualization & Reporting Workflows
  • Geospatial & Spatial Data Processing
  • Time-series & Forecasting Systems
  • Security, Forensics & Reverse Engineering
  • Cybersecurity & Vulnerability Analysis
  • Networking & API Integration Workflows
  • Automation & Multi-step Toolchain Orchestration
  • CLI Tooling & Developer Tool Workflows
  • Version Control & Git Workflows
  • Observability, Logging & Monitoring
  • Storage Systems & File Systems
  • Finance & Accounting Workflows
  • Quantitative Finance & Risk Modeling
  • Legal & Compliance Workflows
  • Healthcare & Clinical Data Processing
  • Supply Chain & Logistics Operations
  • Marketing & Growth Analytics
  • CRM & Sales Operations
  • HR & Recruiting Analytics
  • Consulting & Strategy Modeling
  • Investment Workflows
  • Operations Research & Decision Optimization
  • Benchmark Infrastructure, Adapters & Harness

Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Commitments Required: 40 hours per week with overlap of 4 hours with PST
  • Employment type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 5 weeks; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process (approximately 75 mins) :

  • One round of technical evaluation (60 mins)
-
1-10 employees
Software DevelopmentLLM
briefcase
C++ Systems Software Engineer

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


Role Overview:

We are seeking highly skilled C/C++ engineers to work with system-level libraries and tools such as OpenSSL, FFmpeg, glibc, libssh2, zlib, systemd, tcpdump and support infrastructure for AI-driven software engineering systems. In addition, you will play a key role in building the backend stack for model training and evaluation pipelines that support intelligent systems like the SWE Bench, where AI agents assist in real-world software maintenance and patching workflows


Responsibilities:

  • Develop, maintain, and extend high-performance, secure system software in C/C++.
  • Integrate and work with open-source projects such as OpenSSL, FFmpeg, glibc, systemd, tcpdump, libssh2, ImageMagick, and FreeRDP.
  • Design tools and infrastructure to support model training and evaluation workflows.
  • Build systems for suggesting code patches based on bug reports, issue descriptions, and vulnerability IDs.
  • Automate assessment of PRs and patch diffs for correctness and completeness.
  • Develop solution plans, set up reproducible environments, and evaluate test outcomes.
  • Collaborate with AI engineers on integrations involving Rust bindings and Python-based orchestration tools.
  • Analyze low-level system behavior using profiling, tracing, and debugging tools.
  • Write clear, maintainable code and documentation for internal systems and external libraries.

Required Qualifications:

  • Expert-level experience in C and/or C++ (C99+, C++11/14/17).
  • Strong understanding of systems programming, memory management, and networking internals.
  • Hands-on experience with Linux kernel, glibc, and multithreaded programming.
  • Familiarity with libraries such as OpenSSL, zlib, FFmpeg, libssh2, and ImageMagick.
  • Proficiency with debugging and diagnostics tools like gdb, valgrind, perf, and tcpdump.
  • Experience integrating or extending open-source libraries and toolchains.
  • Comfortable with build systems such as make, cmake, and autotools.
  • Experience with Python, bash scripting, and Docker.
  • Exposure to DevOps practices.

Good to have:

  • Experience with model evaluation workflows involving static and dynamic code analysis.
  • Understanding of AI-assisted code generation tools and feedback loops.
  • Background in building tools for test orchestration, sandboxing, and runtime validation.


Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Potential for contract extension based on performance and project needs.

Offer Details:

  • Commitments Required : 40 hours per week with overlap of 4 hours with PST
  • Engagement type : Contractor assignment/freelancer (no medical/paid leave)
  • Duration of contract : 3 months; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process

  • 2 rounds of technical interview with 30 minutes each
-
1-10 employees
C++Open SourceShell Scripting
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