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Entry Level Algorithm Engineer Jobs in Malvern, PA

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

If you know how to engineer viral moments, structure edits for watch time, and think in terms of ... This is not an entry-level editing role. We're looking for someone who can own the outcome , not ...

If you know how to engineer viral moments, structure edits for watch time, and think in terms of ... This is not an entry-level editing role. We're looking for someone who can own the outcome , not ...

Entry Level Algorithm Engineer information

See Malvern, PA salary details

$39.7K

$84.8K

$139.8K

How much do entry level algorithm engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for entry level algorithm engineer in Malvern, PA is $84,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $101,600.00 per year, depending on experience, location, and employer.

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.
Domain Engineer

Domain Engineer

Elutions

Philadelphia, PA • On-site

Full-time

Posted 7 days ago


Job description

ELUTIONS is a premier global provider of Operational Business Intelligence Solutions that significantly improve business processes surrounding energy efficiency, critical asset performance and workforce productivity. As the top leader in our industry, world-wide, we are constantly on the lookout for go-getters, people who aren't afraid to work hard, but have fun at the same time. Those who join our team aren't just bright, but are willing to develop and hone their skills every day, all while making a significant difference in the world.
The Engineering Team is seeking a motivated, hard-working Domain Engineer with the ability to integrate energy conservation strategies into real world applications (commissioning data analytics and implementation).
Both entry and mid-level applicants are encouraged to apply as on-the-job training is available.
** Entry Level Candidates are Encouraged to Apply!!!**
General Responsibilities:
  • Field travel to perform site surveys and equipment installation/commissioning.
  • Conduct research, data analytics, and prepare reports.
  • Grasp concepts related to fluid mechanics, pumping systems, wastewater treatment processes, and desalination processes.
  • Understand big data concepts and have knowledge of data mining algorithms.
  • Read and understand pump characteristic curves and electrical schematics.
  • Learn and implement technical hardware/software solutions.
  • Be comfortable with data pattern recognition and energy optimization algorithms.
  • Provide 2nd tier customer support.
  • Conduct customer and sales training including software demonstrations/presentations and sales support.
  • Have effective interpersonal skills, organization/prioritization and administrative skills
  • Interface effectively with customers, other departments and managers to resolve customer problems.

Requirements:
  • Master's degree or Bachelor's degree in either Mechanical Engineering, Electrical Engineering, Industrial Engineering, or Environmental Engineering disciplines

Motivational Fit:
The successful candidate will have the following attributes:
  • Good communication skills, especially with teams in other locations
  • Plans and organizes well
  • Creative problem solver
  • Initiates action
  • Flexible and adaptable
  • Team-oriented
  • Highly motivated