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Entry Level Machine Learning Engineer Jobs in Lancaster, PA

... entry-level engineering role supports the design and development of structures, machinery, and rigging systems for live entertainment, themed attractions, and immersive environments. Working under ...

Participate actively in our internal Screw Machine Training program with dedicated one-on-one ... Familiarity with interpreting basic engineering blueprints or schematics. * Basic understanding of ...

Participate actively in our internal Screw Machine Training program with dedicated one-on-one ... Familiarity with interpreting basic engineering blueprints or schematics. * Basic understanding of ...

This role is open to entry-level candidates with 0-2 years of experience, ideally those who have ... Perform machine maintenance as required. * Inspect parts during and after the manufacturing process.

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Entry Level Machine Learning Engineer information

See Lancaster, PA salary details

$29.2K

$67.4K

$114.7K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for entry level machine learning engineer in Lancaster, PA is $67,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $76,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Lancaster, PA? The most popular types of Machine Learning Engineer jobs in Lancaster, PA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Lancaster, PA? For Entry Level Machine Learning Engineer jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Lancaster, PA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Lancaster, PA with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Lancaster, PA as of July 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $67,409 per year, or $32.4 per hour.
Associate Structural Engineer

Associate Structural Engineer

Tait

Lititz, PA • On-site

Full-time

Posted 16 days ago


Job description

TAIT partners with artists, brands, IP holders and place makers to bring culture-defining, never-before-seen experiences to life. With a legacy of innovation spanning over 45 years, TAIT has grown from pioneering in rock ‘n’ roll concert staging to setting the global standard for extraordinary live events and experiences through cutting-edge technology, precision engineering, and creative design. TAIT’s 20 global offices have developed iconic productions and experiences in over 30 countries, all seven continents, and even outer space for renowned performers, theme parks, exhibits, and venues across the globe, including partnerships with Taylor Swift, Cirque Du Soleil, Royal Opera House, Nike, NASA, Bloomberg, Google, Beyoncé, and The Olympics
Position Purpose
This entry-level engineering role supports the design and development of structures, machinery, and rigging systems for live entertainment, themed attractions, and immersive environments. Working under the guidance of experienced engineers, this position focuses on building foundational engineering skills through the application of physics-based principles, structural analysis, and real-world problem solving.
The role contributes to engineering deliverables in a fast-paced, collaborative environment, partnering with multidisciplinary teams to bring complex concepts to life. This is an ideal opportunity for recent graduates seeking hands-on experience in structural engineering, stress analysis, and entertainment engineering systems.
 
Essential Responsibilities
  • Apply physics and engineering principles to solve complex structural and mechanical challenges in real-world applications
  • Design and engineer structural systems, machinery, and rigging that meet client specifications, industry standards, and jurisdictional codes
  • Perform and support structural analysis using hand calculations, proprietary tools, and simulation software (e.g., RISA-3D or equivalent)
  • Validate designs and clearly communicate technical results within a collaborative, fast-paced engineering environment
  • Develop familiarity with TAIT’s engineering standards, product platforms, and solutions across live entertainment and themed environments
  • Coordinate with project managers, mechanical designers, third-party engineers, and internal stakeholders to align engineering execution with project goals
  • Collaborate with clients, suppliers, contractors, and external engineering partners to support successful project delivery
  • Partner cross-functionally across engineering, design, and manufacturing teams to ensure integrated and efficient project execution

Minimum Qualifications
  • Bachelor’s degree in Engineering, Mathematics, or Physics required
  • Engineer in Training (EIT) certification preferred
  • No prior professional experience required; internship or project experience is a plus
  • Educational focus and interest in structural engineering, particularly stress analysis
  • Working knowledge of structural engineering fundamentals, including:
    • Stress and deflection of structures
    • Structural design for global and environmental loading conditions
    • Connection engineering
    • Aluminum structure design
    • Dynamic analysis principles
  • Familiarity with structural analysis tools such as RISA-3D or equivalent software
Professional Skills & Attributes
  • Strong problem-solving skills with attention to detail and a commitment to quality
  • Ability to manage multiple priorities and adapt to shifting demands, ambiguity, and rapid timelines
  • Effective communication skills in a team-based, multidisciplinary environment
  • Demonstrated curiosity and eagerness to learn and grow within an engineering organization
  • Strong work ethic, sense of urgency, and sound decision-making ability


Working Conditions and Physical Effort 
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit and use hands to finger, handle, or feel objects, tools, or controls. The employee frequently is required to reach with hands and arms and talk or hear. Specific vision abilities required by this job include close vision, color vision, and peripheral vision. The employee regularly operates a computer, including typing, using a mouse or keyboard, and viewing the screen for extended periods. While the role does not require regular lifting or physical exertion, there may be occasional onboarding programs or training opportunities that create opportunities for more exposure to physical tasks or new environments (sites, venues, etc.) 

Work conditions of the role are: 

  • Work conditions may involve moderate exposure to unusual elements such as dirt, dust, fumes, unpleasant odors, and/or loud noises.
  • Work environment involves some exposure to hazards or physical risks which require following basic safety precautions.
  • Must be able to wear and properly utilize appropriate personal protective equipment (PPE) to work within or visit areas where required. This includes, safety glasses, reflective vest, ear plugs, safety toed shoes, and other PPE as required by the location.

#LI-JH1

TAIT is an equal opportunity employer fully committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran or any other protected characteristic as outlined by international, national, state, or local laws.