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Entry Level Algorithm Engineer Jobs in New York (NOW HIRING)

Eng I - SW

Totowa, NJ · On-site

$70K - $120K/yr

We are seeking entry level candidates to join our ES Defense software engineering team in Totowa ... Assisting in other software engineering activities such as integration testing, algorithm & data ...

Junior Software Engineer

Manhattan, NY · On-site

$90K - $170K/yr

This is an entry-level/early career role designed to help you grow as a Builder (engineer) while ... Use data insights to refine user interfaces, optimize algorithms, and ensure our platform can scale ...

Quantitative Researcher

New York, NY · On-site

$190K - $250K/yr

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab ... PhD in Math, Science, Engineering and other relevant disciplines The PDT team - a quantitative ...

Quantitative Researcher

New York, NY · Hybrid

$190K - $250K/yr

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab ... PhD in Math, Science, Engineering and other relevant disciplines The PDT team - a quantitative ...

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Entry Level Algorithm Engineer information

What are the key skills and qualifications needed to thrive as an Entry Level Algorithm Engineer, and why are they important?

To thrive as an Entry Level Algorithm Engineer, you need a solid grasp of computer science fundamentals, mathematical problem-solving, and proficiency in programming languages like Python, C++, or Java, typically supported by a relevant bachelor's degree. Familiarity with algorithm design tools, version control systems (such as Git), and experience with data structures are important technical requirements. Strong analytical thinking, attention to detail, and effective teamwork skills help set candidates apart in this collaborative and precise field. These skills and qualities are essential to developing efficient solutions, ensuring code quality, and contributing effectively to engineering teams.

What is the difference between Entry Level Algorithm Engineer vs Data Analyst?

AspectEntry Level Algorithm EngineerData Analyst
Required CredentialsBachelor's in CS, Math, or related; knowledge of algorithms and programmingBachelor's in Statistics, Math, or related; proficiency in data tools
Work EnvironmentTech companies, R&D labs, software firmsBusiness, finance, marketing departments
Employer & Industry UsageUsed in AI, machine learning, software developmentUsed in business intelligence, reporting, data visualization

Entry Level Algorithm Engineers focus on designing and implementing algorithms, often in software or AI projects, requiring programming skills. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and data visualization. While both roles require analytical skills and a bachelor's degree, their daily tasks and industry applications differ significantly.

What are Entry Level Algorithm Engineers?

Entry Level Algorithm Engineers are professionals who design, develop, and optimize algorithms, typically as part of a larger software or hardware development team. They usually hold a recent degree in computer science, mathematics, or a related field, and are responsible for implementing algorithms to solve specific problems, analyze data, or improve system performance. Their work often involves programming, testing, and collaborating with other engineers to ensure efficient and reliable solutions. As entry-level employees, they receive guidance from senior engineers and gradually take on more complex tasks as they gain experience.

What are some common challenges faced by Entry Level Algorithm Engineers when transitioning from academic projects to real-world applications?

Entry Level Algorithm Engineers often find that moving from academic projects to real-world applications introduces challenges such as handling messy or incomplete data, optimizing algorithms for performance at scale, and collaborating within interdisciplinary teams. In a professional setting, solutions must meet business requirements and accommodate system constraints, which can differ greatly from controlled academic environments. Additionally, new engineers may need to adapt their communication skills to explain complex algorithms to non-technical stakeholders and integrate their work with existing codebases.
What are the most commonly searched types of Algorithm Engineer jobs in New York? The most popular types of Algorithm Engineer jobs in New York are:
What are popular job titles related to Entry Level Algorithm Engineer jobs in New York? For Entry Level Algorithm Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Algorithm Engineer jobs in New York look for? The top searched job categories for Entry Level Algorithm Engineer jobs in New York are:
What cities in New York are hiring for Entry Level Algorithm Engineer jobs? Cities in New York with the most Entry Level Algorithm Engineer job openings:
Infographic showing various Entry Level Algorithm Engineer job openings in New York as of July 2026, with employment types broken down into 3% Locum Tenens, 69% Full Time, 22% Part Time, 3% Contract, and 3% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.
CTIO - AI Engineer - Experienced Associate

CTIO - AI Engineer - Experienced Associate

Pwc

Florham Park, NJ • On-site

$50K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

21st of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Associate

Job Description & Summary

The Opportunity
As a CTIO - AI Engineer - Experienced Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, driving data-driven decision-making and business growth. Within our Internal Firm Services practice, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role at PwC, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You are expected to adapt to working with a variety of clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering work that drives value for our clients and success as a team. As you navigate through the firm, you build a brand for yourself, opening doors to more opportunities.
Responsibilities
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Applying data science algorithms and machine learning techniques to solve complex business problems
- Building data pipelines and confirming data quality for informed decision-making
- Conducting exploratory and descriptive analysis to inform strategic decisions
- Developing predictive models using programming languages such as R and MATLAB
- Utilizing TensorFlow and Scikit-Learn for deep learning and natural language processing tasks
- Collaborating with team members to adapt to varying client challenges and scopes
- Taking ownership of projects and consistently delivering quality work that drives client value
- Engaging in active listening and communication to appreciate diverse perspectives and needs
- Upholding professional and technical standards while adhering to the Firm's code of conduct
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Applying programming skills in MATLAB and R for data solutions
- Engaging in data-driven decision making and statistical analysis
- Leveraging experience with TensorFlow and Scikit-Learn libraries

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $50,500 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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