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Ai Algorithm Engineer Jobs in Alhambra, CA (NOW HIRING)

Genius Sports

AI Engineer

Los Angeles, CA

$123K - $148K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Develop and compose models, algorithms, and inference pipelines that convert sports data into ...

Genius Sports

AI Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Develop and compose models, algorithms, and inference pipelines that convert sports data into ...

Capsule.Video Inc

AI Engineer

Los Angeles, CA · On-site

Develop and implement ML models and algorithms to power these features * Optimize model performance ... AI/ML engineer in a commercial software development setting * Computer Science or related degree

Staffingine LLC

AI Architect

Torrance, CA · On-site

$65.75 - $86.75/hr

Design multilayered AI solutions balancing compute efficiency contextual fidelity and algorithmic ... Programming Architecture Python 310 Async design modul ardistributed architecture microservices

Pwc

AI Engineer

Los Angeles, CA

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

Pwc

AI Engineer

Los Angeles, CA · On-site

$55K - $187K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... Within our Internal Firm Services practice, you will apply data, algorithms, and software ...

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All JobsAi Algorithm Engineer JobsAi Algorithm Engineer Jobs in Alhambra, CA

Ai Algorithm Engineer information

See Alhambra, CA salary details

$62.7K

$117.7K

$214.1K

How much do ai algorithm engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for ai algorithm engineer in Alhambra, CA is $117,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $139,700.00 per year, depending on experience, location, and employer.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Alhambra, CA? For Ai Algorithm Engineer jobs in Alhambra, CA, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Alhambra, CA look for? The top searched job categories for Ai Algorithm Engineer jobs in Alhambra, CA are:
What cities near Alhambra, CA are hiring for Ai Algorithm Engineer jobs? Cities near Alhambra, CA with the most Ai Algorithm Engineer job openings:
Ai Algorithm Engineer jobs near you
Infographic showing various Ai Algorithm Engineer job openings in Alhambra, CA as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $117,728 per year, or $56.6 per hour.

AI Engineer - Routing & Network Optimization

Gallatin AI, Inc

El Segundo, CA • On-site

$80K - $210K/yr

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago

Job description

About Gallatin
At Gallatin, we are rebuilding logistics infrastructure for the national security missions of the United States and allied partners. We build AI systems that determine how logistics decisions are made - not just how they're executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage.
About the Role
We're looking for an AI Engineer - Routing & Network Optimization to own how supplies, vehicles, and materiel move across Gallatin's global distribution networks.
In this role, you will build the systems that determine how things move through time-phased, capacity-constrained, and risk-aware networks at scale. Your work transforms AI-driven intent and operational demand into optimal, executable routes across thousands of assets and nodes.
You will work closely with feasibility, packing, optimization, and AI-agent teams to ensure routing decisions are correct, scalable, and resilient under real-world operational volatility.
What You'll Do
Build & Own Routing and Network Models
  • Design and implement routing models across transportation, warehousing, and resupply networks.
  • Encode constraints related to:
    • Distance and time
    • Asset and lane capacity
    • Availability, readiness, and risk
  • Support multi-hop, time-phased, and event-aware routing across dynamic networks.
Algorithm Engineering & Optimization
  • Implement and tune routing solvers using exact, heuristic, and hybrid algorithms.
  • Scale routing algorithms to large graphs, real-time updates, and uncertain inputs.
  • Evaluate tradeoffs between solution quality, runtime, and operational robustness.
Network Data Ownership
  • Own routing datasets including nodes, edges, costs, capacities, and constraints.
  • Validate and maintain network representations used by all routing and planning systems.
  • Handle data gaps, uncertainty, and changing network conditions without breaking execution.
Production Integration
  • Integrate routing systems into real-time and batch planning pipelines.
  • Partner with feasibility, simulation, and execution teams to validate route executability.
  • Support scenario testing, what-if analysis, and iterative optimization based on real operational feedback.

What We're Looking For
Strong Engineering & Optimization Skills
  • Strong programming skills in Python or similar, with experience translating mathematical models into production-grade systems.
  • Experience integrating routing or optimization algorithms into live planning pipelines with monitoring, validation, and performance tuning.
Operations Research & Network Optimization Background
  • Degree or equivalent experience in Operations Research, Applied Math, Industrial Engineering, Computer Science, or related field.
  • Strong foundation in:
    • Graph theory and network optimization
    • Shortest-path algorithms (Dijkstra, A*, Bellman-Ford)
    • Network flow models (max flow, min cut, min-cost flow)
  • Experience with VRP, capacitated routing, or routing with time windows.
  • Experience with large-scale graphs, time-expanded networks, or multi-commodity flow models.
  • Hands-on experience with modeling languages and solvers such as Pyomo, GAMS, AMPL, CPLEX, or Gurobi.
Systems Thinking
  • Ability to reason about scale, uncertainty, and time-dependent systems.
  • Comfort owning routing logic and data end-to-end.
  • Strong performance, correctness, and reliability mindset in high-stakes environments.

Bonus Points
  • Experience with vehicle routing or transportation systems.
  • Experience working alongside simulation or digital-twin teams.
  • Exposure to defense, government, or mission-critical logistics.
  • Experience with ML models, experimentation (A/B testing), or causal inference.
  • Experience in data operationalization and production analytics.

Mission and Identity
We are building the system that enables faster, smarter logistics decisions in contested environments, and we're doing it with a team of seasoned entrepreneurs, operators, and technologists who have built and scaled solutions in this space before. We hold ourselves to an extremely high standard. We value clear thinking, direct communication, and the kind of ownership that doesn't stop until something actually works.
Our mission is to create decision advantage when the stakes are the highest. If we succeed, the system doesn't just run; it gets smarter. We're not building AI for its own sake. We're building it because faster, smarter decisions in the most demanding environments on earth can't wait. If you want to work somewhere the stakes are real and the mission is urgent - you'll fit in here.
Why Gallatin?
The logistics infrastructure that supports America's warfighters and humanitarian disaster responders is overdue for transformation, and we are building it. From defense operations to disaster response, we're solving the hardest problems that keep missions moving when it matters most. Join a team where the mission is the point.
Compensation: Gallatin offers competitive compensation commensurate with experience. Actual compensation may vary based on experience, skills, and location. In addition to base salary, we offer a generous equity grant, full healthcare coverage, 401k, unlimited PTO, and the perks of working in a high-caliber, mission-driven environment.
Gallatin is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.
This position may require the ability to obtain and maintain a U.S. government security clearance. The successful candidate must be able to work in a classified environment when necessary.
We comply with the United States Department of Labor's Pay Transparency provision.
Note: Due to the nature of certain government contracts held by this organization, U.S. citizenship is a requirement for all positions at Gallatin. Proof of citizenship will be required prior to employment if selected.

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