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Optimization Algorithms Jobs in Boston, MA (NOW HIRING)

Using large-scale cloud and machine learning algorithms, the Data Scientist will construct data preprocessing pipelines, predictive models, optimization algorithms, and decision support systems. Key ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will ...

Task and motion planning Software integration and testing with robotics platforms Hybrid methods that augment deterministic autonomy algorithms with AI-based approaches Optimization and resource ...

Significant knowledge of design and implementation of trajectory design/optimization algorithms including optimal control techniques. Strong project execution and teamwork skills. Strong analytical ...

... optimization algorithms including optimal control techniques. • Strong project execution and teamwork skills. • Strong analytical and problem-solving capabilities. - Ability to clearly ...

... algorithms with AI-based approaches • Optimization and resource allocation for large team of teams • C/C++, ROS/ROS2 Duties/Responsibilities • Evaluates requirements, proposes solutions ...

SEO Strategist

Boston, MA · Hybrid

$73K - $88K/yr

As our SEO Strategist, you will.... Be the primary architect of a client's digital growth ... If you're a lifelong learner who thrives on staying ahead of the algorithm and can turn technical ...

Significant knowledge of design and implementation of trajectory design/optimization algorithms including optimal control techniques. Strong project execution and teamwork skills. Strong analytical ...

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Optimization Algorithms information

See Boston, MA salary details

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How much do optimization algorithms jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for optimization algorithms in Boston, MA is $64.80, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $79.90 per hour, depending on experience, location, and employer.

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

Quantitative Researcher at HFT Hedge Fund Algorithmic Trading Boston

Quantitative Researcher at HFT Hedge Fund Algorithmic Trading Boston

Domeyard LP

Boston, MA • On-site

Full-time

Posted 29 days ago


Job description

Company Description

Domeyard, LP is a quantitative hedge fund startup based in Boston, Massachusetts. We focus on developing low latency technologies to achieve extremely consistent, long-term capital growth enabling us to save millions of dollars for market investors each year. Our trading strategies are derived from the latest advances in high-performance computing and data analysis, making us one of the fastest market participants in the world. Domeyard operates around the clock, trading a diverse range of asset classes, including equities, futures, fixed income instruments, energy products and commodities. Innovation is our main differentiator: on any given day, we process more order messages than Google searches and Twitter messages combined. Our continuous pursuit of improvement to our technology enables us to uncover opportunities that are grossly inaccessible to mainstream fund managers and their investment vehicles. For its notable role in the industry, Domeyard is also the protagonist of Harvard Business School's first case study about high frequency trading. 


Job Description

Bonus! Apply through our website: http://grnh.se/83ospm

Bridging Mathematics and Low-Latency Trading

Domeyard is seeking a Quantitative Researcher with significant experience in developing low latency statistical arbitrage or market making strategies. You will be joining the core of a company with a single, monolithic HFT team. The ideal candidate is someone who is intellectually curious and loves solving mathematical problems - you might have considered pursuing an academic career at some point and you are looking at this job posting because you are enticed by the fast feedback loop in our field.

What you'll be doing:

  • Building low latency liquidity taking or market making strategies from end-to-end.
  • Developing mathematical models to solve difficult stochastic problems.
  • Analyzing convergence and boundedness properties of algorithms and estimates.
  • Translating your models to fast computational methods.
  • Collaborating with researchers and developers to implement all of the above.

You must meet both of these minimum requirements:

  • 3+ years work experience in high-frequency trading at a leading hedge fund or proprietary trading firm.
  • Experience with direct responsibility in construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.


Qualifications

In addition, here are some of the attributes that we're looking for:

  • History of peer-reviewed publications in optimization, algorithms, statistics, numerical analysis, signal processing, operations research, or a related field.
  • Graduate-level degree in any scientific, mathematical or engineering discipline.
  • Programming experience with C++ in a UNIX-based environment.
  • Experience using data analysis tools in Python or R.
  • Intense passion for solving quantitative problems.
  • Recent track record with low variance in PnL at high % of ADV.
  • Working familiarity with low latency architecture.
  • Knowledge in futures, cash equities or cash FX markets.
Additional Information

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/83ospm