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
Staff Software Engineer, AI


About the Client

Founded by engineers from  Stanford, Cisco Meraki, and Samsara, we are one of the fastest-growing Video AI companies in the U.S., transforming standard cameras into powerful AI tools that elevate safety, security, and operations for businesses nationwide. In just four years, we have processed more than 1  billion hours of video, and today ingest more daily new videos than  YouTube. Our industry-leading Video AI agents are changing physical operations and defining what video AI can accomplish for physical  operations. We are challenging and disrupting the $30 billion video surveillance market with a plug-and-play camera agnostic solution that is expanding use-cases beyond traditional security. Our approach has fueled fast adoption across 17 industries, powering nearly 1000  businesses and over 70,000 camera feeds. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including  Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.



About the Role

We are looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No  matter the role or level, we’re looking for more teammates who share the same  high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You  thrive on creating new solutions, not maintaining the status quo. If  you've founded a company, been employee number 1 - 20, or have run a  venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.


Who you are

  • You are self-motivated and accountable. You  excel with ownership and autonomy, producing high quality outcomes with  minimal direction and oversight. You have strong intuition on what's  most important to work on, and can focus on the most critical items.
  • You are a balanced visionary. You  contribute to strategy with an ability to see the big picture, while  also appreciating details with a drive to make meaningful, hands-on  contributions.
  • You are a humble expert. You  bring strong expertise and nuanced perspectives on the latest AI  technology, while staying open to new ideas and new ways of doing  things. You focus on getting it right in a team setting, rather than  being right.
  • You strive for the next level. You’re ready to stretch your impact and influence and are ready to take on larger scale challenges and/or act as a mentor.
  • You bring rich AI experience. You  have a strong background in AI, ideally with video processing  experience, however, experienced practitioners in AI can adapt as  necessary. You understand classic deep learning techniques, from YOLO to  transformer models to linear classifiers. Yet, you also have experience  with the latest AI foundation models, from embeddings to LLMs and  prompt engineering.
  • You are a creative thinker and problem solver. You  naturally think outside the box to solve new sets of customer problems,  even with few resources. You have a keen eye and technical frameworks  for setting an AI technical direction based on customer context.
  • You bring high-scale technical excellence. You  deeply understand software design, architecture, big-data processing  pipelines, and best practices on systems design + scalability, code  quality, and data/model design. You appreciate the finer details, such  as edge model optimizations, vector indexes and how they work, or how to  design a maintainable data schema. You’ve designed and led complex  systems, shaped multi-team architectures, and created frameworks that  prevent defects and improve validation across products.
  • You’re a debugging and operational excellence expert. You adopt observability tools, tackle unfamiliar codebases, and develop  resources like runbooks to prevent issues. You have an eye for  impending technical issues or optimization opportunities, and  architectural improvements that could be made to increase overall  engineering productivity.
  • You’re a technical leader. You  understand the skill and personal strengths of team members,  effectively mentoring them and placing engineers into the projects that  make them and the company successful
  • You bring 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.


Responsiilities

You’ll  play a critical role in advancing our capabilities, using your AI  expertise to drive innovative solutions for businesses with physical  environments—from manufacturing plants to car dealerships. Leading the  design and integration of AI-driven features, you’ll elevate both new  and existing products, focusing on scalable, real-world applications  that improve safety, operations, and efficiency. Working closely with  cross-functional teams, you’ll apply cutting-edge AI techniques to  transform video data into actionable insights that empower our clients.  By setting standards in AI reliability and performance, you’ll ensure  Spot AI’s product suite consistently delivers high-impact outcomes.



What excites you:

  • Working  on and thinking about the latest models across multiple domains, such  as Dinov2, CLIP, GPT4o/Gemini. Applying these models to real world  physical problems to enhance safety, operations, and efficiency.
  • Working  with a datastream of over 200k datapoints and embeddings a second,  wrangling this into actionable insights with fast and accurate queries.
  • Helping  to democratize and educate about the latest foundational models to  customers and team members, helping them share your vision of what AI  can do for the world.
  • Working with a global, several thousand  node distributed hybrid edge-cloud, processing millions of hours of  video a day.A place that gives you the room to learn from failure while  driving excellence.
  • Advancing our AI’s product capabilities  by applying cutting-edge AI techniques, helping transform video data  into powerful, real-world solutions for our clients.
  • Designing  and implementing AI-driven features across new and existing products,  with a focus on scalability and tangible value for diverse industries.
  • Diving  into complex challenges in video intelligence, using your expertise to  bring actionable insights to businesses in physical environments.
  • Collaborating  closely with cross-functional teams to build tools and frameworks that  set a new standard for AI performance and reliability in our industry.
  • Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
  • A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.
  • A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Business Services
11-50 employees
PythonPyTorchTensorflow
briefcase
Senior Java Engineer – Snowflake Integration

Job Title: Senior Java Engineer – Snowflake Integration

Experience: 6–10 Years
Location: Gurugram
Work Mode: Hybrid (3 Days Work From Office)

Job Overview

We are looking for a Senior Java Engineer with strong experience in Java 17+, backend system development, and Snowflake integration, to build and maintain enterprise-grade data and transaction systems in the BFSI domain. The role involves working on high-scale, secure, and compliant platforms handling critical financial data.

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Java 17+
  • Integrate Java applications with Snowflake Data Cloud for analytics and reporting use cases
  • Build and optimize data pipelines between transactional systems and Snowflake
  • Design and consume RESTful APIs for internal and external integrations
  • Ensure data security, governance, and compliance as per BFSI standards
  • Optimize application performance, scalability, and reliability
  • Collaborate with data engineering, DevOps, and product teams
  • Participate in architecture discussions and technical design reviews
  • Support production systems and perform root cause analysis when required

Mandatory Technical Skills

Core Java & Backend

  • Strong hands-on experience with Java 17 or higher
  • Deep understanding of OOP, multithreading, concurrency, and JVM internals
  • Experience with Spring / Spring Boot
  • Strong experience building RESTful microservices
  • Experience with Hibernate / JPA

Snowflake & Data Integration

  • Hands-on experience integrating applications with Snowflake
  • Strong understanding of:
    • Snowflake architecture and data storage concepts
    • Virtual warehouses, databases, schemas
  • Experience using Snowflake connectors (JDBC/ODBC) from Java
  • Knowledge of data ingestion and transformation patterns
  • Understanding of SQL optimization in Snowflake

Databases

  • Strong experience with RDBMS (PostgreSQL / Oracle / MySQL)
  • Advanced SQL skills and performance tuning
  • Experience handling large datasets and analytical queries

Cloud, DevOps & Tools

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker and containerized deployments
  • Experience with CI/CD pipelines
  • Working knowledge of Linux environments
  • Experience with version control systems (Git)

BFSI Domain Experience (Mandatory)

  • Proven experience working in Banking, Financial Services, or Insurance
  • Understanding of:
    • Transaction processing systems
    • Data privacy and regulatory compliance
    • Security standards (encryption, access control, auditing)
  • Experience working on high-availability, mission-critical systems

Soft Skills

  • Strong problem-solving and analytical skills
  • Ability to work independently with minimal supervision
  • Excellent communication skills
  • Experience collaborating with cross-functional teams
  • Ownership mindset and attention to detail

Good to Have

  • Experience with event-driven architectures (Kafka / MQ)
  • Exposure to data warehousing or analytics platforms
  • Experience with Agile / Scrum environments
  • Knowledge of financial reporting or risk systems

Ideal Candidate Profile

  • 6–10 years of backend development experience
  • Strong Java 17+ expertise with enterprise application exposure
  • Hands-on Snowflake integration experience
  • Solid BFSI domain background
  • Willingness to work 3 days from Gurugram office
Finance
10K+ employees
Core JavaSpring BootOOP+ 2
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